2024-03-29T09:10:27Z
http://mcfns.com/index.php/Journal/oai
oai:ojs.mcfns.com:article/5
2011-05-01T23:01:05Z
Journal:Sustain
nmb a2200000Iu 4500
"090202 2009 eng "
1946-7664
dc
Science-based Forest Design
von Gadow, Klaus
University of Göttingen, Germany
Zhang, Chun Yu
Beijing Forestry University, China
Zhao, Xiu Hai
Beijing Forestry University, China
Array
Approximately 3000 million ha of the world s forests have been classified as productive, and are subject to some kind of management. Considering their environmental and social importance, the managed forest ecosystems are not receiving as much scientific attention as the few remaining unmanaged ones. This is especially true in the growing urban landscapes where managed forest ecosystems provide a range of important services. Most societies today demand integrated and wide-ranging approaches to forest management that address social, ecological, and economic goals. These demands can be met if simplistic philosophies and unverified doctrines are replaced by new paradigms that require a wider understanding of social demands and natural system dynamics. In theory, involving science directly in the management of a wooded ecosystem appears to be logical, but the practical implementation of this idea is not a trivial task. This paper presents a theoretical framework for the science-based management of a forested landscape that includes three key elements: forest design, research and demonstration and harvest event analysis. This framework is introduced, explained by means of examples, and supported by concrete evidence. The paper is based on an updated version of Gadow (2005), and it is not intended as a manifest, but as a contribution to a much-needed discussion about forest management as a scientific discipline. MCFNS-1:14-25.
Contemporary Journal Concept Press
2009-02-28 00:00:00
Peer-reviewed Papers on Assessment and Flow Analysis
application/pdf
application/postscript
http://mcfns.com/index.php/Journal/article/view/MCFNS.1-14
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 1, No 1: MCFNS February 28, 2009
eng
general relevance, any region
contemporary
examples from Europe, Asia, North America
Copyright (c)
oai:ojs.mcfns.com:article/69
2013-05-18T09:23:52Z
Journal:Modeling
nmb a2200000Iu 4500
1946-7664
dc
Using strong inference to falsify differential equation models of sugar maple height growth---Rejoinder
Leary, Rolfe A
Rolfe Leary & Associates, USA http://drcjc.com
Johannsen, Vivian Kvist
University of Copenhagen Hørsholm, Denmark http://en.sl.life.ku.dk/OmSkovOgLandskab/Medarbejdere/vkj.aspx
Array
We provide here our response to Zeide (2010) comment (Zeide, B. 2010. Using strong inference to falsify differential equation models of sugar maple height growth---Discussion. MCFNS 2:12-14) on our earlier article of the same title. MCFNS 2(1):15-17.
Contemporary Journal Concept Press
2010-02-28 00:00:00
Peer-reviewed Modeling Papers
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS.2-15
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 2, No 1: MCFNS February 28, 2010
eng
Temperate Forests
Contemporary
Height; Age; Site
Copyright (c)
oai:ojs.mcfns.com:article/97
2013-03-21T23:13:25Z
Journal:SSAFR
nmb a2200000Iu 4500
"100822 2010 eng "
1946-7664
dc
The Second Special Section of articles from the 2009 Symposium on Systems Analysis in Forest Resources
McDill, Marc E
The Pennsylvania State University, USA http://www.personal.psu.edu/faculty/m/e/mem14/
Array
This is the Introduction to and an overview of the Special Section of papers from the 2009 Symposium on Systems Analysis in Forest Resources (SSAFR) held in Charleston, South Carolina on May 26–29, by the symposium organizer and the Guest Editor of this section. MCFNS 2(2):97-98.
Contemporary Journal Concept Press
2010-08-28 00:00:00
Peer-reviewed Papers on System Analysis
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS.2-31
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 2, No 2: MCFNS August 28, 2010
eng
Copyright (c)
oai:ojs.mcfns.com:article/131
2013-03-21T22:54:34Z
Journal:FIA
nmb a2200000Iu 4500
"110829 2011 eng "
1946-7664
dc
Selected Examples of Advanced FIA Data Analysis
Cieszewski, Chris J
The University of Georgia, USA http://drcjc.com
McRoberts, Ronald E
USDA Forest Service, FIA
Array
This short discussion introduces the contents of the new Special Section on Advanced FIA Data Analysis that has been recently created in the Mathematical and Computational Forestry Natural-Resource Sciences (MCFNS) journal as a result of collaboration between the journal editors and the USDA Forest Service FIA (Forest Inventory Analysis) scientists. This section contains three papers, which originated from presentations at the 9th Annual FIA Symposium held at Park City, Utah on October 21-23, 2008. The papers contained here went through two screening criteria, passed a peer-review process, and were assessed by the journal editors as consistent with the MCRNS journal scope and focus and valuable contributions to the journal contents.
Contemporary Journal Concept Press
2011-08-28 00:00:00
Peer-reviewed FIA-related Papers
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS.3-96
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 3, No 2: MCFNS August 28, 2011
eng
North American Forestry
Contemporary
Stand and Forest Parameters, Spatial geographical attributes
Copyright (c)
oai:ojs.mcfns.com:article/138
2023-10-19T19:33:03Z
Journal:OR%2BDSS
nmb a2200000Iu 4500
"130330 2013 eng "
1946-7664
dc
Combining experts’ ratings for partly overlapping concept lists: a feasibility test with cultural sustainability indicators
Sironen, Susanna
Finnish Environment Institute, Joensuu, Finland
Hujala, Teppo
Finnish Forest Research Institute, Vantaa, Finland
Myllyviita, Tanja
Finnish Environment Institute, Joensuu, Finland
Tikkanen, Jukka
Oulu University of Applied Sciences, Oulu
Leskinen, Pekka
Finnish Environment Institute, Joensuu, Finland
Array
Acquiring preference information from decision-makers and stakeholders may carry biasing effects due to question framing. In order to avoid unwanted distortions, respondent-driven querying methods are advisable to apply; however, concerning multiple stakeholders a challenge remains how to combine individually collected concepts and further on their individual valuations to an unified preference information. This paper introduces one solution: a semi-automatic stochastic simulation of joint preferences from partially overlapping individual concept lists and preference ratings. We used completed expert interview dataset of cultural sustainability indicators acquired for comparing bioenergy production chains. According to the results the approach seems generally applicable, but the feasibility may vary according to case characteristics. Combining concept list valuations with stochastic simulations may be more feasible the more similar the expected concept structures are. The presented method contributes particularly to planning processes in which democratic participation of a large number of stakeholders is needed in the goal setting phase. However, more tests with different decision problem types are needed to verify and refine the present findings.
Contemporary Journal Concept Press
2013-03-30 00:00:00
Peer-reviewed Optimization Papers
application/pdf
http://mcfns.com/index.php/Journal/article/view/138
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 5, No 1: MCFNS March 30, 2013
eng
http://mcfns.com/index.php/Journal/article/download/138/754
http://mcfns.com/index.php/Journal/article/download/138/755
http://mcfns.com/index.php/Journal/article/download/138/756
http://mcfns.com/index.php/Journal/article/download/138/757
http://mcfns.com/index.php/Journal/article/download/138/758
http://mcfns.com/index.php/Journal/article/download/138/759
Preferences
Copyright (c)
oai:ojs.mcfns.com:article/194
2016-04-26T12:41:21Z
Journal:G%26Y%2BQS
nmb a2200000Iu 4500
"150330 2015 eng "
1946-7664
dc
Dynamic Modelling of Tree Form
Garcia, Oscar
Mathematical and Computational Forestry & Natural-Resource Sciences
Array
Tree profile or taper models are an important component of decision support systems for forest management. An extensive body of theory and observations on the mechanisms of tree form development has accumulated over the last 150 years. Quantitative mensurational models, however, have made little use of that information. Taper models remain largely empirical and static, describing tree dimensions and shape at one point in time. Here taper equations are derived from simplified models of radial stem growth consistent with physiological knowledge. It is expected that this approach may improve accuracy, especially when stands are subjected to varied density management alternatives.
Contemporary Journal Concept Press
2015-03-30 00:00:00
Peer-reviewed Papers on Growth and Mortality Dynamics
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS7.1_2
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 7, No 1: MCFNS March 30, 2015
eng
http://mcfns.com/index.php/Journal/article/download/194/1212
temperate forests
contemporary
Stem analysis data
Copyright (c)
oai:ojs.mcfns.com:article/205
2021-04-14T18:16:54Z
Journal:FMQMM
nmb a2200000Iu 4500
"160930 2016 eng "
1946-7664
dc
Spatial Interpolation of Above-Ground Biomass in Labanan Concession Forest in East Kalimantan, Indonesia
Kim, Taek Joo
Department of Forestry and Environmental Resources, North Carolina State University, Raleigh, NC, United States
Bullock, Bronson P.
Warnell School of Forestry and Natural Resources, University of Georgia, Athens, GA, United States
Wijaya, Arief
Thünen Institute of International Forestry and Forest Economics, Hamburg, Germany
Array
This study applied a geostatistical approach to quantify above-ground biomass (AGB) of the Labanan Concession Forest in East Kalimantan, Indonesia. Forest inventory data collected via transect sampling were converted to AGB, and two approaches of estimating the spatial distributions of biomass, the global and stratified approaches, were compared. The global approach does not take local varying structures into account, whereas the stratified approach accounts for the heterogeneity of land cover types. Thus, AGBs estimated from each land cover type were pooled for the stratified approach. Ordinary kriging was performed to predict AGB at unsampled locations. The total estimates of AGB and RMSCVEs for the global and stratified methods were 13,512,392.2 tons (161.92 ton/ha) and 13,607,205.5 tons (163.05 ton/ha), respectively, for AGB and 81.0 ton/ha and 81.2 ton/ha, respectively, for RMSCVE. Considering the different environmental conditions for each land cover type, the stratified method was expected to better capture the spatial structure particular to each land cover type, leading to more accurate estimates of AGB. However, the results suggest the degree of accuracy for the two methods was nearly similar.
Contemporary Journal Concept Press
2016-09-30 00:00:00
"Peer-reviewed Scholarly Works"
application/pdf
http://mcfns.com/index.php/Journal/article/view/8.7
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 8, No 2: MCFNS September 30, 2016
eng
District of Berau East Kalimantan Indonesia
Mixed lowland dipterocarp forest
Transect sampling; Land cover types
Copyright (c) 2016 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/241
2023-10-20T02:45:23Z
Journal:SOFOR
nmb a2200000Iu 4500
"180330 2018 eng "
1946-7664
dc
Estimation of forest stand disturbance through implementation of Vegetation Change Tracker algorithm using Landsat time series Stacked imagery in coastal Georgia -- Poster Summary
Obata, Shingo
Warnell School of Forestry and Natural Resources
University of Georgia
Athens, GA 30602 USA
Array
Knowledge of forest disturbances is the key information relevant to forest resource management and distribution of forest ecosystem structures. The objective of this research was to identify and date forest disturbances between 1984 and 2016 on 30 meter spatial resolution Landsat images of coastal Georgia through implementation of the modified Vegetation Change Tracker algorithm.  First, we created Landsat Time Series Stack (LTSS) by stacking annual Landsat 5 TM and 8 OLI imagery, which cover WRS2- Path 17/Row 38.  We calculated the inter-band Forest Z score (IFZ) for each imagery contained in LTSS. IFZ is a vegetation index calculated for each pixel in each year to measure the likelihood that the land use of a pixel is a forest. We have tested an algorithm automatically detecting the specific year of forest disturbance at the pixel level.  To detect the disturbance the algorithm considers the time series changes in IFZ value for each pixel.  The result of such analysis was summarized in the form of a disturbance year map, in which each pixel is assigned specific year of disturbance as its value. We used this analysis to estimate the areas of forest disturbances in each year. We made an accuracy assessment for the disturbance map using test points determined by a stratified sampling method. The results of this research provide a better age class description of our study area making possible to assess its location-specific information about forest disturbances and age structure.Â
Contemporary Journal Concept Press
2018-03-30 00:00:00
Peer-reviewed GIS Papers from Southern USA
application/pdf
http://mcfns.com/index.php/Journal/article/view/10.9
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 10, No 1: MCFNS March 30, 2018
eng
South Eastern Georgia, USA.
1984-2016
Landsat TM Satellite Imagery;
Copyright (c) 2018 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/286
2021-04-14T18:12:06Z
Journal:SOFOR
nmb a2200000Iu 4500
"201030 2020 eng "
1946-7664
dc
Overview of the 12th Southern Forestry and Natural Resource Management GIS Conference
Bettinger, Pete
University of Georgia
Forestry Building 4, Room 527
Phone: 706-542-1187 http://www.uga.edu
Array
This is a brief summary of the background and contents of the research papers included in the 2019 Special Section on the Southern Forestry GIS Conference. Other papers from the conference, still undergoing peer review, may appear in the future issues of the Mathematical and Computational Forestry {\ } Natural-Resource Sciences journal.
Contemporary Journal Concept Press
2020-10-30 00:00:00
Peer-reviewed GIS Papers from Southern USA
application/pdf
http://mcfns.com/index.php/Journal/article/view/12.6
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 12, No 2: MCFNS October 30, 2020
eng
http://mcfns.com/index.php/Journal/article/download/286/1847
North America
Contemporary
Imagery, LiDAR, Forest Inventory Measurements;
Copyright (c) 2020 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/306
2023-10-15T04:59:13Z
Journal:G%26Y%2BQS
nmb a2200000Iu 4500
"221030 2022 eng "
1946-7664
dc
Development and evaluation of refined annualized individual tree diameter and height increment equations for the Acadian Variant of the Forest Vegetation Simulator: Implication for forest carbon estimates
Kuehne, Christian
Norwegian Institute of Bioeconomy Research, Division of Forestry and Forest Resources, As, Norway https://www.nibio.no/en/about-eng
Weiskittel, Aaron
Center for Research on Sustainable Forests, University of Maine, Orono, ME, USA https://crsf.umaine.edu/
Kershaw, John A. Jr.
University of New Brunswick, Faculty of Forestry and Environmental Management, Fredericton, NB, Canada https://www.unb.ca/
Array
Tree diameter increment $\left( \Delta DBH \right)$ and total tree height increment $\left( \Delta HT \right)$ are key components of a forest growth and yield model. A problem in complex, multi-species forests is that individual tree attributes such as $\Delta DBH$ and $\Delta HT$ need to be characterized for a large number of distinct woody species of highly varying levels of occurrence. Based on more than 2.5 million $\Delta DBH$ observations and over 1 million $\Delta HT$ records from up to 60 tree species and genera, respectively, this study aimed to improve existing $\Delta DBH$ and $\Delta HT$ equations of the Acadian Variant of the Forest Vegetation Simulator (FVS-ACD) using a revised method that utilize tree species as a random effect. Our study clearly highlighted the efficiency and flexibility of this method for predicting $\Delta DBH$ and $\Delta HT$. However, results also highlighted shortcomings of this approach, e.g.,~reversal of plausible parameter signs as a result of combining fixed and random effects parameter estimates after extending the random effect structure by incorporating North American ecoregions. Despite these potential shortcomings, the newly developed $\Delta DBH$ and $\Delta HT$ equations outperformed the ones currently used in FVS-ACD by reducing prediction bias quantified as mean absolute bias and root mean square error by at least 11\% for an independent dataset and up to 41\% for the model development dataset. Using the revised $\Delta DBH$ and $\Delta HT$ estimates, greater prediction accuracy in individual tree aboveground live carbon mass estimation was also found in general but performance varied with dataset and accuracy metric examined. Overall, this analysis highlights the importance and challenges of developing robust $\Delta DBH$ and $\Delta HT$ equations across broad regions dominated by mixed-species, managed forests.
Contemporary Journal Concept Press
2022-10-30 00:00:00
Peer-reviewed Papers on Growth and Mortality Dynamics
application/pdf
http://mcfns.com/index.php/Journal/article/view/14.5
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 14, No 2: MCFNS October 30, 2022
eng
Global
Contemporary
Copyright (c) 2022 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/59
2013-05-18T09:22:31Z
Journal:Modeling
nmb a2200000Iu 4500
"100212 2010 eng "
1946-7664
dc
Using strong inference to falsify differential equation models of sugar maple height growth
Leary, Rolfe A
Rolfe Leary & Associates, USA
Johannsen, Vivian Kvist
University of Copenhagen Hørsholm, Denmark http://en.sl.life.ku.dk/OmSkovOgLandskab/Medarbejdere/vkj.aspx
Array
Platt’s research strategy called 'strong inference' is often studied, but is difficult to apply. Here strong inference is applied in selecting differential equation models of sugar maple, Acer saccharum M., height growth. Two model groups proposed by Zeide (1993; Zeide, B. 1993. Analysis of growth equations. For. Sci. 39(3):594-616) are supplemented with two additional groups, 1) size decline and 2) second order differential equations, nearly exhausting the possible height growth models currently in the literature. A ‘crucial experiment’ was to fit a simultaneous system of equations to height – age data collected from a cohort of trees felled for stem analysis. Models for cohort members are identical in right-hand-sides, have common parameters, but have tree-specific initial heights. Common parameters and tree-specific initial heights are estimated during fitting. Results, based on stem analysis data for a cohorts of from three to five sugar maple growing on 54 plots in the Lake States, showed that all cohort members were predicted by logarithm of time decline (LTD) models to have extremely similar initial heights (less than 0.01 m range), which contradicts experience and leads to their falsification. Three of four models in the time decline (TD) class predict a very small range in final heights, but a large range in initial heights (from 6.4 to 2.9m), hence can also be considered falsified. Size decline and second order models could not be falsified using the height – age cohort data available. MCFNS 2(1):1-11.
Contemporary Journal Concept Press
2010-02-28 00:00:00
Peer-reviewed Modeling Papers
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS.2-1
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 2, No 1: MCFNS February 28, 2010
eng
Temperate Forests
Contemporary
Height; Age; Site
Copyright (c)
oai:ojs.mcfns.com:article/66
2011-05-01T22:36:58Z
Journal:Modeling
nmb a2200000Iu 4500
"100814 2010 eng "
1946-7664
dc
Growth and Survival of Eucalyptus grandis - a study based on modelling lifetime distributions
Dickel, Meike
Christian-Albrechts-University Kiel, Germany
Kotze, Heyns
Komatiland Forests (Pty) Ltd., Nelspruit, South Africa
von Gadow, Klaus
University of Göttingen, Germany
Zucchini, Walter
University of Göttingen, Germany
Array
This study presents a new approach to estimating density-dependent survival and growth in four experimental plots of Eucalyptus grandis.
planted at different densities on a homogeneous site in Zululand/South Africa. Estimates of future basal area could be improved considerably by first estimating the number of surviving trees and including this estimate in the basal area predictions.
We estimate the probability of survival of a single tree using a Weibull distribution. Because we only know the number of trees that died between two observations points and not the exact time points of their death, the maximum likelihood estimation was adjusted to deal with these interval-censored data.
The estimated shape and scale parameters show an exponential relationship with the initial number of planted trees.
The relationship proved to be useful for estimating the shape and scale parameters of the lifetime distribution for any given initial number of planted trees.
The number of surviving trees $(N2)$ at time $t2$, given that there were N1 trees at the initial time point, is binomially distributed.
The binomial probability represents the weight for the calculation of the unconditional distribution of stand basal areas.
This procedure is useful for obtaining a better understanding of the distribution of future stand basal areas.
It was found that the basal area expectation values differ over time, but the variance of the basal areas remains almost constant for all ages and planting densities.
Our approach of estimating future basal area, based on modeling lifetime distributions, proved to be superior to convential methods. MCFNS 2(2):86-96.
Contemporary Journal Concept Press
2010-08-28 00:00:00
Peer-reviewed Modeling Papers
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS.2-86
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 2, No 2: MCFNS August 28, 2010
eng
South Africa
last 50 years
different densities
Copyright (c)
oai:ojs.mcfns.com:article/113
2011-08-29T10:26:06Z
Journal:FIA
nmb a2200000Iu 4500
"110802 2011 eng "
1946-7664
dc
Consistency Of Forest Presence And Biomass Predictions Modeled Across Overlapping Spatial And Temporal Extents
Nelson, Mark D.
USDA Forest Service, Northern Research Station, FIA, USA
Healey, Sean P.
USDA Forest Service, Rocky Mountain Research Station, I. and M., USA
Moser, Warren Keith
USDA Forest Service, Northern Research Station, FIA, USA
Masek, Jeffrey G.
GFSC, National Aeronautics and Space Administration, USA
Cohen, Warren
USDA Forest Service, Pacific Northwest Research Station, USA
Array
We assessed the consistency across space and time of spatially explicit models of forest presence and biomass in southern Missouri, USA, for adjacent, partially overlapping satellite image Path/Rows, and for coincident satellite images from the same Path/Row acquired in different years. Such consistency in satellite image-based classification and estimation is critical to national and continental monitoring programs that depend upon processed satellite imagery, such as the North American Forest Dynamics Program. We tested the interchangeability of particular image acquisitions across time and space in the context of modeling forest biomass and forest presence with a non-parametric Random Forests-based approach. Validation at independent USA national forest inventory plots suggested statistically consistent model accuracy, even when the images used to apply the models were acquired in different years or in different image frames from the images used to build the models. For mapping projects using near-anniversary date imagery and employing careful radiometric correction, advantages of image interchangeability include the ability to build models with more ground data by combining adjacent image frames and the ability to apply models of assessed accuracy to early satellite images for which no corresponding field data may be available.
Contemporary Journal Concept Press
2011-08-28 00:00:00
Peer-reviewed FIA-related Papers
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS.3-102
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 3, No 2: MCFNS August 28, 2011
eng
Missouri, USA
Contemporary
FIA plot data; Landsat image data
Copyright (c)
oai:ojs.mcfns.com:article/153
2023-10-19T13:08:57Z
Journal:MicroDetect
nmb a2200000Iu 4500
"130330 2013 eng "
1946-7664
dc
Application of Numerical Methods for Crashworthiness Investigation of a Large Aircraft Wing Impact with a Tree
Zhang, Chao
University of Akron, USA http://www.uakron.edu/engineering/CE/
Binienda, Wieslaw K
University of Akron, USA http://www.uakron.edu/engineering/CE/
Horvat, Frank E
University of Akron, USA http://www.uakron.edu/engineering/ME/
Wang, Wenzhi
Northwestern Polytechnical University http://hangkong.nwpu.edu.cn/home/overview.htm
Array
This paper demonstrates application of a numerical methodology for full scale aircraft impact crashworthiness investigation. A special case, impact of an aircraft wing with a tree, was studied using LS-DYNA and ANSYS CFX. In particular, a detailed finite element model of the wing structure was represented as a box structure containing skin, spars and ribs, and fuel was represented as distributed mass. Several material models were utilized and verified using leading-edge bird strike and wood bending experiments. Wood model Mat 143 with material parameters developed based on the wood bending test was found as the most accurate in comparison with the experiment. The aerodynamic pressure distribution on the overall surface of the wing was accomplished using the commercially available Computational Fluid Dynamics (CFD) software ANSYS CFX. Results of the aerodynamic pressures on the wings surfaces were imported into the LS-DYNA finite element model. Parametric studies showed that a fragment of the leading edge of the wing was destroyed by the tree but the lifting surface of the wing was not destroyed. In every simulation scenario, the tree was cut by the first spar of the wing and fell in the direction of the movement of the airplane.
Contemporary Journal Concept Press
2013-03-30 00:00:00
Peer-reviewed Multidisciplinary Works
application/pdf
http://mcfns.com/index.php/Journal/article/view/153
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 5, No 1: MCFNS March 30, 2013
eng
http://mcfns.com/index.php/Journal/article/download/153/867
http://mcfns.com/index.php/Journal/article/download/153/869
Smolensk, Russia; worldwide applicable;
2010; contemporary;
material structural properties; density; MOE;
Copyright (c)
oai:ojs.mcfns.com:article/184
2019-11-06T15:08:54Z
Journal:SOFOR
nmb a2200000Iu 4500
"140930 2014 eng "
1946-7664
dc
Multi-source K-nearest neighbor, Mean Balanced forest inventory of Georgia
Lowe, Roger Charles
The University of Georgia, Warnell School of Forestry and Natural Resrouces
Cieszewski, Chris J
The University of Georgia, Warnell School of Forestry and Natural Resrouces
Array
We describe here a case study in compiling a high-resolution forest inventory for central Georgia using the K-nearest neighbor approach with multi-source data and Mean Balancing correction for the estimation bias. In general, multi-source data collected through various incompatible designs cannot be mixed due to intractable variances and unknown bias. Because of this incompatibility abundant information about the environment (i.e. atmospheric conditions, soil composition, spatio-temporal data from nearly 40 years of satellite imaging, and a wealth of site specific studies with sampling for various growth attributes) frequently cannot be used to produce new unbiased estimates for the variables and areas of interest. This study was carried out in central Georgia, and the k-NN approach was used to fuse together various incompatible data from public and private sources. We used the Mean Balancing approach to remove the bias resulting from this data fusion. The result of the study is a derivation of an unbiased high-resolution forest inventory, which can be used for small area's fiber supply assessment analysis.
Contemporary Journal Concept Press
2014-09-30 00:00:00
Peer-reviewed GIS Papers from Southern USA
application/pdf
text/x-tex
inode/x-empty
http://mcfns.com/index.php/Journal/article/view/6_65
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 6, No 2: MCFNS September 30, 2014
eng
Georgia
2010
Pine volumes
Copyright (c)
oai:ojs.mcfns.com:article/196
2023-10-19T15:23:30Z
Journal:Software
nmb a2200000Iu 4500
"160330 2016 eng "
1946-7664
dc
A software tool for accurate assessment of costs and CO<SUB>2</SUB> emissions in wood transport using OpenStreetMap<SUP>©</SUP>
Pérez-RodrÃguez, Fernando
Escola Superior Agrária, Instituto Politécnico de Bragança, Campus de Santa Apolónia, Apartado 1172, 5301-855, Bragança, Portugal
Centro de Investigação de Montanha, Campus de Santa Apolónia, Apartado 1172, 5301-855, Bragança, Portugal
Nunes, LuÃs
Escola Superior Agrária, Instituto Politécnico de Bragança, Campus de Santa Apolónia, Apartado 1172, 5301-855, Bragança, Portugal
Centro de Investigação de Montanha, Campus de Santa Apolónia, Apartado 1172, 5301-855, Bragança, Portugal
Azevedo, João
Escola Superior Agrária, Instituto Politécnico de Bragança, Campus de Santa Apolónia, Apartado 1172, 5301-855, Bragança, Portugal
Centro de Investigação de Montanha, Campus de Santa Apolónia, Apartado 1172, 5301-855, Bragança, Portugal
Array
Costs and environmental impacts are key elements in forest logistics and they must part of decision-making. The evaluation of transportation fuel costs and carbon emissions depend on spatial and non-spatial data but in many cases the first type of data are difficult to obtain. On the other hand, the availability of software tools to evaluate with rigor transportation fuel quantities and costs and emissions of carbon dioxide is limited. We present a software tool that combines two empirical validated models of truck transportation using DEM and an open spatial data tool, specifically OpenStreetMap©. The tool provides outputs such as maps with distribution of transport performance (relation between beeline and real road distances), cost and CO2 emissions for four types of truck. These outputs can be successfully included in forest decision-making support systems. Finally, in this work we applied the tool in a particular case of forest logistics in northeaster Portugal.
Contemporary Journal Concept Press
2016-03-30 00:00:00
Peer-reviewed Computational Works
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS.8.35
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 8, No 1: MCFNS March 30, 2016
eng
Brazil
Contemporary
Simulation data
Copyright (c) 2016 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/237
2021-04-14T18:13:51Z
Journal:GIS%2BRS
nmb a2200000Iu 4500
"180330 2018 eng "
1946-7664
dc
Are Models the Answer?
Iles, Kim
Kim Iles & Associates http://www.island.net/~kiles/
Array
This note gives a short discussion about using models with or without correction by eld measurements in forest inventory. While modelling with LiDAR may be tempting, the author would argue that these inherently limited models are best used for their ability to distribute overall totals after the fact, or to assist a more general unbiased inventory approach using models as an initial estimate.
Contemporary Journal Concept Press
2018-03-30 00:00:00
Peer-reviewed Spatial Analysis Papers
application/pdf
http://mcfns.com/index.php/Journal/article/view/10.2
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 10, No 1: MCFNS March 30, 2018
eng
Global
Contemporary
Conceptual Data
Copyright (c) 2018 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/260
2019-11-04T19:19:07Z
Journal:Data
nmb a2200000Iu 4500
"191030 2019 eng "
1946-7664
dc
Increment cores of the National Forest Inventory from Romania
Marin, Gheorghe
Transilvania University
Abrudan, Ioan
Transilvania University
Strimbu, Bogdan M
Oregon State University http://mars.forestry.oregonstate.edu http://orcid.org/0000-0002-9068-9010
Array
Dendrochronological data provides insight in the tree development, and used in conjunction with forest inventory, can supply inputs for growth and yield modeling. However, accurate and precise measurements of a large number of incremental cores require significant resources. One possible source of valuable tree ring data are national forest inventories (NFI), which process a large amount of data annually. A NFI that places a significant effort on dendrochronological data is the Romanian NFI, which, to date, collected, measured, and cross-dated more than 50,000 incremental cores. This amount of incremental cores makes the Romania the holder of the largest dendrochronological NFI library. The present article presents the method of processing the incremental cores and makes available to the interested entities the tree ring data for the three main species from Romania, namely Norway spruce, European beech, and sessile oak. To ensure utility, the dataset is limited to pure (i.e., one species) even-aged stands (i.e., age difference ≤ 5 years), that were un-thinned (i.e., no active forest management). The data is stored as an ASCII file, and contains six fields: ecoregion, species, year, age, average ring width, and variance . To ensure privacy of information, the average ring width was estimated over a 5 years interval, for which the variance is also computed.
Contemporary Journal Concept Press
2019-10-30 00:00:00
Peer-reviewed Data Publication
application/pdf
http://mcfns.com/index.php/Journal/article/view/11.5
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 11, No 2: MCFNS October 30, 2019
eng
Romania
1900-2005
age; species; ring width; calendar year
Copyright (c) 2019 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/293
2023-10-19T13:35:46Z
Journal:Modeling
nmb a2200000Iu 4500
"211101 2021 eng "
1946-7664
dc
EXPERIMENT AND RESEARCH ON PREDICTION MODEL OF FOREST FIRE SPREAD BASED ON ENSEMBLE KALMAN FILTER
Zhang, Shiyu
Northeast Forestry University http://orcid.org/0000-0003-4258-0333
Liu, Jiuqing
Northeast Forestry University
Gao, Hewei
Northeast Forestry University
Chen, Xiandong
Northeast Forestry University
Li, Xingdong
Northeast Forestry University
Hua, Jun
Northeast Forestry University
Hu, Haiqing
Northeast Forestry University
Array
The spread of forest fire is an extremely complex and harmful natural phenomenon. At present, the forest fire spread model has some shortcomings, such as complex formula, inaccurate simulation value and so on. In this paper, the Ensemble Kalman Filter(ENKF) algorithm is applied to the field of forest fire spread so that it can better predict the spread of forest fire. Firstly, the Rothermel forest fire speed formula is simplified, and the simplified Rothermel speed value is modified by the actual measured forest fire spread speed value, so that the optimal model simulation value is obtained. Then the optimal speed is input into Cellular Automata(CA) to simulate the spread of forest fire. Secondly, the experiment is carried out by changing the slope, bed thickness, moisture content, load and wind speed. And the actual measured speed value, the simplified Rothermel model value and the optimized value after ENKF are compared in the process of fire spread. Finally, The experimental results show that the error of fire spread speed corrected by ENKF is smaller, the forest fire spread contour obtained from the optimal speed value by ENKF is closer to the actual fire spread contour, and the highest similarity index is 0.854. The model proposed in this paper has the ability to predict the spread of forest fire indoors.
Contemporary Journal Concept Press
2021-11-01 06:02:50
Peer-reviewed Modeling Papers
application/pdf
http://mcfns.com/index.php/Journal/article/view/13.6
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 13, No 2: MCFNS October 30, 2021
eng
Forest
Origin
Copyright (c) 2021 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/29
2019-11-06T15:13:44Z
Journal:G%26Y%2BQS
nmb a2200000Iu 4500
"090828 2009 eng "
1946-7664
dc
Impacts of Management Intensity and Harvesting Practices on Long-term Forest Resource Sustainability in Georgia
Liu, Shangbin
Premier Research Group Limited, USA
Cieszewski, Chris J
The University of Georgia, USA
Array
Using a spatially explicit forest management model called OPTIONS simulation analyses are conducted to investigate the impact of intensive management practices, rotation age, and harvest level on long-term wood production, harvest opportunities, and resource sustainability. The initial forest inventory is compiled from datasets of the USDA Forest Service Forest Inventory Analysis Unit, various GIS data, Landsat thematic mapper imagery, and simplified assumptions about the spatial distribution of different forest cover types. The parameters of the model are determined from published and unpublished literature, and from interviews with experts in the area of forest management in the Southeastern US. The sensitivity analyses reveal the impacts of the individual factors of the intensive managed pine plantation (IMP), rotation age, and harvest level, and of the interaction of these factors on the sustainability of the forest resource production under the condition of a 4% net reduction in the forestland area. The results of the analyses suggest that IMP acreage and rotation length are key factors in sustaining an increased harvest level. The volume available for harvest increases with an increasing rate of transition to intensively managed pine plantations (IMPs rate) for each harvest level and rotation age. Even a reduced forestland (4% net reduction) in Georgia can easily sustain the current level of harvest with the current level of intensive pine plantation management for short and medium rotation ages. Increased pine plantation management intensity could lead to sustainable or even increased future wood production despite a decline in the forestland base and an increased wood demand. Timber growth would exceed removals in most of the projection period. Throughout the projections the distribution of the harvestable volume by species group shows that the traditionally managed pine plantations (PSOF) contributes to the largest share of the total harvestable volume. The distribution of the harvest by species group indicates that the harvest come mainly from PSOF and IMP. The merits of definitions of the scenarios in this study are discussed and compared with those used in the subregional timber supply (SRTS) modeling.
Contemporary Journal Concept Press
2009-08-28 00:00:00
Peer-reviewed Papers on Growth and Mortality Dynamics
application/pdf
application/postscript
http://mcfns.com/index.php/Journal/article/view/MCFNS.1-52
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 1, No 2: MCFNS August 28, 2009
eng
Georgia; southeastern US; USA;
Contemportary; Future;
Age; Species; Maturity; Origin; Cover Types;
Copyright (c)
oai:ojs.mcfns.com:article/65
2011-05-01T22:36:27Z
Journal:OR%2BDSS
nmb a2200000Iu 4500
"100809 2010 eng "
1946-7664
dc
A Monte Carlo Methodology for Solving the Optimal Timber Harvest Problem with Stochastic Timber and Carbon Prices
Petrasek, Stanislav
The University of Washington, USA
Perez-Garcia, John
The University of Washington, USA http://www.cfr.washington.edu/SFRPublic/People/FacultyProfile.aspx?PID=66
Array
This article presents a Monte Carlo methodology for solving the
stochastic optimal timber harvest problem modeled as a recurrent
American call option. A detailed description of the proposed method-
ology is given, and the Monte Carlo technique is contrasted with finite
difference methods typically used to find solutions of the optimal har-
vest problem with stochastic prices. The use of the methodology is
then demonstrated via an example. In the example, expected bare
land values and optimal harvest policies are calculated for a Douglas-
fir stand in western Washington State. It is assumed that the forest
owner derives revenue from traditional timber sales and carbon seques-
tration, and that prices of timber and carbon follow a known stochastic
process. Results of the calculations are discussed. MCFNS 2(2):67-77.
Contemporary Journal Concept Press
2010-08-28 00:00:00
Peer-reviewed Optimization Papers
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS.2-67
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 2, No 2: MCFNS August 28, 2010
eng
http://mcfns.com/index.php/Journal/article/download/65/260
http://mcfns.com/index.php/Journal/article/download/65/261
http://mcfns.com/index.php/Journal/article/download/65/262
http://mcfns.com/index.php/Journal/article/download/65/263
http://mcfns.com/index.php/Journal/article/download/65/264
http://mcfns.com/index.php/Journal/article/download/65/265
http://mcfns.com/index.php/Journal/article/download/65/266
http://mcfns.com/index.php/Journal/article/download/65/268
http://mcfns.com/index.php/Journal/article/download/65/269
http://mcfns.com/index.php/Journal/article/download/65/0
http://mcfns.com/index.php/Journal/article/download/65/371
http://mcfns.com/index.php/Journal/article/download/65/372
http://mcfns.com/index.php/Journal/article/download/65/373
http://mcfns.com/index.php/Journal/article/download/65/424
http://mcfns.com/index.php/Journal/article/download/65/425
http://mcfns.com/index.php/Journal/article/download/65/426
http://mcfns.com/index.php/Journal/article/download/65/472
Pacific Northwest
Contemporary
Douglas fir
Copyright (c)
oai:ojs.mcfns.com:article/108
2013-03-22T22:26:42Z
Journal:DSTSFM
nmb a2200000Iu 4500
"110228 2011 eng "
1946-7664
dc
Perspectives on New Developments of Decision Support Systems for Sustainable Forest Management
Bettinger, Pete
The University of Georgia, USA http://uga.edu
Cieszewski, Chris J
The University of Georgia, USA http://uga.edu
Falcão, André
The University of Lisboa Bloco, Lisboa, Portugal http://www.di.fc.ul.pt/~afalcao/
Array
This short overview represents an introduction to, and short discussions of, a selection of papers arising from the 2010 Workshop on Decision Support Systems in Sustainable Forest Management held in Lisbon, Portugal, on April 19-21, 2010. The papers from this workshop were selected as a result of collaboration between the conference organizers, its participants, and the editorial team of Mathematical and Computational Forestry Natural-Resource Sciences. The collection of the articles that passed the peer-review process are presented in this Special Section on Decision Support Systems for Sustainable Forest Management, and are discussed by the Editorial Team that conducted the peer-review of this Special Section. MCFNS 3(1):15-17.
Contemporary Journal Concept Press
2011-02-28 00:00:00
Peer-reviewed DSS-Related Papers
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS.3-15
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 3, No 1: MCFNS February 28, 2011
eng
Universal regional
Contemporary
Collection of articles
Copyright (c)
oai:ojs.mcfns.com:article/135
2012-09-30T23:59:04Z
Journal:OR%2BDSS
nmb a2200000Iu 4500
"120930 2012 eng "
1946-7664
dc
Optimal zoning of forested land considering the contribution of exotic plantations
Anderson, Jay A.
University of Alberta, Canada
Armstrong, Glen W.
University of Alberta, Canada
Luckert, Martin K.
University of Alberta, Canada
Adamowicz, Wiktor L.
University of Alberta, Canada
Array
Previous studies suggest that management intensity zoning systems, such as the triad approach, could allow Canada's forest industry to maintain or increase timber harvest levels while simultaneously reducing its environmental impact.  In most such studies, the zones are exogenously specified.  In this study, we use a linear programming model to endogenously allocate forest land to management intensity zones given several alternative policy scenario formulations.  We examine how alternative policy scenarios affect the net present value of the optimal forest management plan, timber output, and the spatial allocation of land to management intensity zones. We conclude that policies which facilitate optimal zoning could enable land use specialization to increase both profits and ecological protection.  Such zoning, however, can only happen if provincial governments in Canada revise their forest policies with respect to allocation of forest tenures and establishment of exotic plantations on public forest land.
Contemporary Journal Concept Press
2012-09-30 00:00:00
Peer-reviewed Optimization Papers
application/pdf
application/octet-stream
http://mcfns.com/index.php/Journal/article/view/135
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 4, No 2: MCFNS September 30, 2012
eng
Canada; Boreal Forest
Present
Copyright (c)
oai:ojs.mcfns.com:article/177
2021-04-14T18:19:23Z
Journal:OR%2BDSS
nmb a2200000Iu 4500
"140330 2014 eng "
1946-7664
dc
Adjacency constraints in forestry – a simulated annealing approach comparing different candidate solution generators
Borges, Paulo
Norwegian University of Life Sciences http://statisk.umb.no/ina/ansatte/pauborge_e.php
Bergseng, Even
Norwegian University of Life Sciences http://statisk.umb.no/ina/ansatte/evenbe_e.php
Eid, Tron
Norwegian University of Life Sciences http://statisk.umb.no/ina/ansatte/tronei_e.php
Array
Adjacency constraints along with harvest volume constraints are important in long term forest management planning. Simulated annealing (SA) has previously been successfully applied when addressing such constraints. The objective of this paper is to assess the performance of SA using three methods for generating candidate solutions. Biased probabilities in the management unit (MU) selection were introduced, one static and one dynamic. The rst one (Method 1) is the conventional (static) method. The two other methods were implemented through a search vector used in the candidate solution generator. These methods are based on (Method 2) the number of treatment schedules and standard deviation of NPV within MUs and (Method 3) the MU's potential improvement in the objective function value, the number of URM adjacency violations an MU is involved in, the period specic volume harvested in an MU and the number of times an MU is selected. The methods were tested on a large number of datasets including 300 hypothetical forest landscapes characterized by three dierent initial age class distributions, respectively young, normal and old. Evaluation of the methods was accomplished by means of objective function values and rst feasible iteration. Solutions improved when introducing bias in the probabilities for MU selection (Methods 2 and 3) compared to the conventional method (Method 1) and when the probability bias for selecting MUs is dynamic (Method 3) rather than static (Methods 1 and 2). The mean improvement for the average GAP obtained by Method 3 for young, normal and old forest landscapes was 20.88%, 12.84% and 5.20%, respectively. Whereas for the minimum GAP the mean improvement was 21.96%, 14.30% and 6.05% for young, normal and old forest landscapes, respectively.
Contemporary Journal Concept Press
2014-03-30 00:00:00
Peer-reviewed Optimization Papers
application/pdf
http://mcfns.com/index.php/Journal/article/view/6_11
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 6, No 1: MCFNS March 30, 2014
eng
Boreal Forest
Cover Types; Age
Copyright (c)
oai:ojs.mcfns.com:article/200
2023-10-19T23:34:38Z
Journal:GIS%2BRS
nmb a2200000Iu 4500
"150930 2015 eng "
1946-7664
dc
Evaluating different models to predict biomass increment from multi-temporal lidar sampling and remeasured field inventory data in south-central Alaska
Temesgen, Hailemariam
OSU
Strunk, Jacob
Washington Department of Natural Resources
Andersen, Hans-Erik
USDA Forest Service, Pacific Northwest Research Station, Seattle, WA, USA
Flewelling, James
Array
We evaluated two sets of equations for their predictive abilities for estimating biomass increment using successively acquired airborne lidar and ground data collected on western lowlands of the Kenai Peninsula in south-central Alaska. The first set included three base equations for estimating biomass increment as a function of lidar metrics, and the remaining equations enhanced the three base equations by considering the hierarchical structure of the data.
It is shown that the mixed effect framework substantially improved the accuracy and precision of biomass increment prediction over the fixed effects that assume the observations are independent for the area covered by two lidar acquisitions, 5 years apart from one another. On the average, root mean square error values were reduced by 19.8% by using a plot-level random coefficient model that account for the impacts of site (biophysical factors) on biomass increment on the western Kenai Peninsula. Â
Mixed effect models are effective statistical tools, but their effective application requires some sample growth data. As such, we recommend two models for estimating biomass increment on the Kenai Peninsula. Â If a subsample of ground data is available to predict the plot random intercept, the enhanced model is suggested. Â
Contemporary Journal Concept Press
2015-09-30 00:00:00
Peer-reviewed Spatial Analysis Papers
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS7.2_3
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 7, No 2: MCFNS September 30, 2015
eng
http://mcfns.com/index.php/Journal/article/download/200/1242
Alaska; Pacific Northwest;
Contemporary; Natural Origin Stands;
Height; Diameter;
Copyright (c) 2015 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/229
2021-04-14T18:14:47Z
Journal:SOFOR
nmb a2200000Iu 4500
"170930 2017 eng "
1946-7664
dc
Overview of the third Special Section of papers from the 10 th Southern Forestry and Natural Resource Management GIS Conference
Bettinger, Pete
Warnell School of Forestry and Natural Resources -
University of Georgia
Merry, Krista
Warnell School of Forestry and Natural Resources -
University of Georgia
Array
This is the third Special Section of papers from the 10 th Southern Forestry and Natural Resource Management GIS Conference (SOFOR GIS). The conference was held nearly two years ago in Athens, Georgia (USA). In this Special Section resides two papers that have passed the peer review process. One paper consists of a geographical analysis of the meandering of the Congaree River in South Carolina over the last 130 years. The second paper consists of a geographical analysis of the distribution of an invasive plant species, multiflora rose (Rosa multiflora Thunb.) in the Midwestern United States. Each of these research papers has undergone peer review by respected experts in associated fields.
Contemporary Journal Concept Press
2017-09-30 00:00:00
Peer-reviewed GIS Papers from Southern USA
application/pdf
http://mcfns.com/index.php/Journal/article/view/9.5
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 9, No 2: MCFNS September 30, 2017
eng
North America
Contemporary
Reports
Copyright (c) 2017 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/248
2021-04-14T18:12:51Z
Journal:GIS%2BRS
nmb a2200000Iu 4500
"181030 2018 eng "
1946-7664
dc
MAPPING THE INVASION STAGE AND INVASIVENESS OF MAJOR NONNATIVE INVASIVE PLANTS IN THE UPPER MIDWEST FORESTLANDS, USA
Fan, Zhaofei
School of Forestry and Wildlife Sciences, Auburn University, 602 Duncan Drive, Auburn, AL 36849
Moser, W. Keith
USDA Forest Service, Rocky Mountain Research Station, Flagstaff, AZ 86001
Crosby, Michael K.
School of Agricultural Sciences and Forestry, Louisiana Tech University, Ruston, LA 71272
Yu, Weiming
Department of Forestry, Mississippi State University, Mississippi State, MS 39762
Zhang, Yaoqi
School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL 36849
Hansen, Mark H.
USDA Forest Service, Northern Research Station, St. Paul, MN 55180
Fan, Shirley X.
Statistical Consulting Center, Department of Mathematics and Statistics, Auburn University, Auburn, AL 36849
Array
The rapid determination of invasion stages and the degree to which an invasive plant (IP) has become established and spread in an ecosystem (“invasivenessâ€) is essential for developing methods of mitigation and control. We mapped the invasion stages and quantified the invasiveness of four IPs of great concern, multiflora rose (Rosa multiflora Thunb.), nonnative bush honeysuckles (including four species from the Lonicera spp family), common buckthorn (Rhamnus cathartica L.), and garlic mustard (Alliaria petiolata [M. Bieb.] Cavara Grande) in the Upper Midwest forestlands. Specifically, we used the product of the estimated presence probability and mean cover rate of an IP from a group of Forest Inventory and Analysis (FIA) plots in a county to represent its severity or area occupied. We then calculated the empirical cumulative density function (ECDF) of the occupied area and used classification and regression tree (CART) to classify the ECDF into a number of disjoint segments to spatially represent invasion stages of an IP. The invasiveness of an IP in three major forest type groups was then investigated via regression analysis of the change in the estimated mean cover rate with the estimated presence probability across the mapped invasion stages (a proxy for invasion time). This study demonstrates the feasibility of using data from a single time period for determining invasion stages and invasiveness of IPs for the rapid deployment of controlling or eradicating measures.
Contemporary Journal Concept Press
2018-10-30 00:00:00
Peer-reviewed Spatial Analysis Papers
application/pdf
http://mcfns.com/index.php/Journal/article/view/10.13
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 10, No 2: MCFNS October 30, 2018
eng
Upper MidWest
Species
Copyright (c) 2018 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/291
2021-04-15T20:02:10Z
Journal:G%26Y%2BQS
nmb a2200000Iu 4500
"210330 2021 eng "
1946-7664
dc
CORRECTING TREE COUNT BIAS FOR OBJECTS SEGMENTED FROM LIDAR POINT CLOUDS
Strub, Mike Robert
Retired, Weyerhauser Company, USA. https://www.weyerhaeuser.com/
Osborne, Nathaniel
Rayonier Inc., USA https://www.rayonier.com/
Array
We introduce a new statistical distribution for modeling tree count in segmented LiDAR point clouds. The new distribution is based on the Poisson distribution as a logical basis since the Poisson is based on the premise of rare events from a large population. The probability a particular tree falls in a given point cloud segment is small and the number of trees is large. The purpose of segmentation is to provide segments that contain a single tree. This implies that a Poisson with deflated probability of zero occurrences and inflated probability of one occurrences is appropriate. LiDAR point cloud data on twenty ground truth plots are used to show the utility of this approach.
Contemporary Journal Concept Press
2021-03-30 00:00:00
Peer-reviewed Papers on Growth and Mortality Dynamics
application/pdf
text/plain
application/vnd.ms-excel
http://mcfns.com/index.php/Journal/article/view/13.3
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 13, No 1: MCFNS March 30, 2021
eng
Copyright (c) 2021 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/4
2011-05-01T23:02:16Z
Journal:Modeling
nmb a2200000Iu 4500
"090202 2009 eng "
1946-7664
dc
A simple and effective forest stand mortality model
Garcia, Oscar
University of Northern British Columbia, Canada
Array
A whole-stand survival model is presented, that is parsimonious and well-behaved when extrapolated, making it particularly useful in data-poor situations. It is argued, on biological and system-theoretical grounds, that a suitable differential equation for the mortality rate should contain number of trees and top height on the right-hand side, avoiding age, mean diameter, or basal area. Following Eichhorn's hypothesis, site quality can be neglected by modelling rates relative to height growth. The proposed model is $\dr{N}{H} = -a N^b H^c$ , where $N$ is number of trees per unit area, $H$ is top height, and $a$, $b$ and $c$ are parameters to be estimated. The equation can be integrated to predict mortality between any two points in time. Satisfactory performance is demonstrated with a white spruce data set from British Columbia. It is shown that the model generalizes concepts of relative spacing, and mortality models for radiata pine and Douglas-fir used by Beekhuis in New Zealand in the 1960's. Asymptotic behaviour is related to the 3/2, Reineke, and relative spacing self-thinning laws. Limitations of the self-thinning theories and relationships among their various forms are discussed. MCFNS 1(1):1-9.
Contemporary Journal Concept Press
2009-02-28 00:00:00
Peer-reviewed Modeling Papers
application/pdf
application/postscript
http://mcfns.com/index.php/Journal/article/view/MCFNS.1-1
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 1, No 1: MCFNS February 28, 2009
eng
Worldwide, forests populations
contenporary
density, diameter, height, volume,
Copyright (c)
oai:ojs.mcfns.com:article/75
2011-04-16T22:05:24Z
Journal:Review
nmb a2200000Iu 4500
"100228 2010 eng "
1946-7664
dc
Review of “An overview of methods for incorporating wildfires into forest planning modelsâ€
Martell, David
The University of Toronto, Canada http://www.firelab.utoronto.ca/people/dlm.html
Array
Contemporary Journal Concept Press
2010-02-28 00:00:00
Invited Commentaries
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS.2-61
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 2, No 1: MCFNS February 28, 2010
eng
North America
1970-present
Published research
Copyright (c)
oai:ojs.mcfns.com:article/85
2023-10-20T02:43:33Z
Journal:DSTSFM
nmb a2200000Iu 4500
"110228 2011 eng "
1946-7664
dc
ProgettoBosco, a Data-Driven Decision Support System for forest planning
Ferretti, Fabrizio
CRA-Agricultural Research Council, Italy
Dibari, Camilla
University of Florence, Italy
De Meo, Isabella
CRA-Agricultural Research Council, Italy
Cantiani, Paolo
CRA-Agricultural Research Council, Italy
Bianchi, Massimo
CRA-Agricultural Research Council, Italy
Array
As a consequence of the spread of technology, also the forest sector needs to develop methods and tools capable to integrate the new available technology (Geographical Information Systems, databases, Decision Support Systems, GPS, satellite imaging, laser etc.) with the traditional tools.
In specific the present paper refers to the context of forest planning and management and to the implementation of a nationally standardized method and tool for monitoring and supporting forest planning and forest policy choices from a local to a national scale.
Within this framework and according to the definition of a Data-Driven Decision Support Systems, a method aimed at optimising the data collection on forest and forest management of Italy was developed. With ProgettoBosco a unique, participated and shared information system effective for all forest typologies existing in Italy was accomplished.
The paper focuses on the working methodology which is innovative and original for the sector of forest planning. The methodology, characterized by a bottom-up approach, is structured in three main steps: cooperation, successive approximation and experimentation. MCFNS 3(1):27-35.
Contemporary Journal Concept Press
2011-02-28 00:00:00
Peer-reviewed DSS-Related Papers
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS.3-27
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 3, No 1: MCFNS February 28, 2011
eng
http://mcfns.com/index.php/Journal/article/download/85/379
http://mcfns.com/index.php/Journal/article/download/85/380
http://mcfns.com/index.php/Journal/article/download/85/381
Italy
Copyright (c)
oai:ojs.mcfns.com:article/111
2012-09-19T23:09:45Z
Journal:Modeling
nmb a2200000Iu 4500
"120228 2012 eng "
1946-7664
dc
Tree Shape and Branch Structure: Mathematical Models
Yeatts, Dick F
Department of Physics,
Colorado School of Mines, USA http://physics.mines.edu/people/phpfiles/yeatts.php
Array
This study of tree morphology is presented in three parts. Part 1 deals with the over-all shape of trees (their profiles). A mathematical model based on the distribution of leaves shows that all profiles, from rounded to conical, is determined by one parameter. Part 2 deals with the angle of branching. Field measurements show that the sum of the areas of stems exiting a fork is usually greater than the area of the stem entering the fork. Mathematical analysis shows that this “bulking up†actually reduces the quantity of plant tissue incorporated in the branching. Furthermore, the angle of branching increases with the degree of bulking up. Part 3 brings together the concepts of the first two parts: here, the cross-sectional area of the trunk as a function of position along the trunk is determined by the profile of the tree and the angle of side branching off the trunk. From field observation, the profile of a tree (i.e., the outline of its crown) has two prominent characteristics: (i) azimuthal symmetry about the central axis (often the main stem or trunk), as evidenced both in foliage and scaffolding; and (ii) decrease in leaf density from branch-end toward the central axis. From these two conditions (including a presumed radial distribution of leaves) a mathematical model is developed using the calculus of variations that predicts the profile The results of this analysis are consistent with the general observation that profiles range from the nearly spherical in the case of uniform distribution of leaves throughout the crown, to essentially conical when the leaves are found largely on the branch-ends. The results are presented in figures showing theoretical profiles overlaid on photographs of representative trees. Part 2 is based on field measurements that show that the cross-sectional area of a branch (or stem) entering a fork (in the direction of water transport) is less than the sum of the cross-sectional areas of the branches leaving that fork. Again, using the calculus of variations, it is shown that the angle of branching can be related to this “bulking upâ€. Field measurements are in general agreement with this prediction. Part 3 provides a separate test of the validity of the concepts introduced in the first two Parts. Using equations appropriate to a tree with a single main stem and horizontal side branches, the crosssectional area of the trunk is calculated as a function of position on the trunk. The results are compared with field measurements.
Contemporary Journal Concept Press
2012-02-28 00:00:00
Peer-reviewed Modeling Papers
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS.4%3A2
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 4, No 1: MCFNS February 28, 2012
eng
Temporar
Contemporary
Copyright (c)
oai:ojs.mcfns.com:article/157
2013-10-01T10:22:41Z
Journal:Sampling
nmb a2200000Iu 4500
"130930 2013 eng "
1946-7664
dc
Trends and projections from annual forest inventory plots and coarsened exact matching
Van Deusen, Paul C
NCASI
Roesch, Francis A
USDA Forest Service, Southern Research Station, USA http://www.srs.fs.usda.gov/staff/497
Array
The coarsened exact matching (CEM) method is used to match annual forest inventory plots awaiting remeasurement with plots that have already been remeasured. This results in a model-free approach for short term inventory projections. CEM has many desirable properties relative to other matching methods and is easy to apply within a SQL database. The combination of short term projections with a 3 or 5 year moving window is suggested for providing trend estimates that include the current year and a few years into the future. The default projection represents business as usual. A method to bias the plot matching to generate desired scenarios is also developed. These ideas and methods are demonstrated with several applications to forest inventory data. Scenarios are generated where increasing future harvest levels are stochastically controlled to demonstrate this capability with operational data.
Contemporary Journal Concept Press
2013-09-30 00:00:00
Peer-reviewed Experimental Design Works
application/pdf
text/x-tex
http://mcfns.com/index.php/Journal/article/view/MCFNS_157
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 5, No 2: MCFNS September 30, 2013
eng
Lower 48 states
2000-2015
FIA data
Copyright (c)
oai:ojs.mcfns.com:article/192
2016-04-26T12:41:21Z
Journal:NREcon
nmb a2200000Iu 4500
"150330 2015 eng "
1946-7664
dc
Global pulpwood markets and the Law of One Price
Morales Olmos, Virginia
Centro Universitario de Tacuarembó
Universidad de la República-Uruguay
Siry, Jacek
University of Georgia
Array
Many models of international trade assume that perfect competition exists and externalities do not distort market behavior. The Law of One Price (LOP) is said to hold when the price of a similar product is the same in different markets when expressed in the same currency. Considering pulpwood markets, it has been suggested that long-term relationships exist among various markets but the LOP does not necessarily hold. Most of this research has been performed for the most developed forest sectors in the world such as the United States and Scandinavia. With the progressing globalization of forest production, we expected that pulpwood prices in different countries would follow similar trends. The objective of this research was to study the global pulpwood market and the relationships among the most important producers. Using Johansen cointegration method, the LOP was tested for pulpwood prices in the United States, Canada, Germany, Sweden, Finland, Norway, France, Spain, Chile, Brazil, New Zealand, and Australia from 1988 to 2012. The results suggested that while several long-term price relationships have been discovered, the LOP generally did not hold. The exception were Germany and Norway, where the LOP was close to holding for coniferous prices.Â
Contemporary Journal Concept Press
2015-03-30 00:00:00
Peer-reviewed Economics and Policy Works
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS7.1_3
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 7, No 1: MCFNS March 30, 2015
eng
http://mcfns.com/index.php/Journal/article/download/192/1203
http://mcfns.com/index.php/Journal/article/download/192/1204
International
1988-2012
Pulpwood prices by year
Copyright (c)
oai:ojs.mcfns.com:article/221
2021-04-14T18:16:54Z
Journal:Data
nmb a2200000Iu 4500
"160930 2016 eng "
1946-7664
dc
Introducing new ``Just Data'' Section in Mathematical and Computational Forestry & Natural-Resource Sciences
Kershaw, John A.
Mathematical and Computational Forestry & Natural-Resource Sciences http://www.unb.ca/fredericton/forestry/index.html
Array
Data archiving has become a requirement for many journals and an increasingly important part of the everyday life of a scientist. While data from published studies often have more safeguards, unpublished data often is lost. In this new section we are looking for previously unpublished data and pseudo-data that may be of interest to biometricians or other forest researchers as test cases for new analysis approaches, classroom exercises, or challenging analytical tests. These may be unique, small, one-of-a-kind datasets, or larger datasets one discovered or inherited.
The journal of Mathematical and Computational Natural-Resource Sciences (MCFNS) is soliciting submissions of data sets that can be published in the MCFNS’ “Just Data†section, and be archived on the journal site and made available to other researchers.
The submitted to the MCFNS’ “Just Data†section dataset needs to be accompanied by a brief write up describing the rationale for the data, what variables were collected, the basic experimental design, how treatments were applied, and, if applicable, what is unique or wrong with the data and what are the data strengths. Maps showing treatment layouts or plot designs are encouraged. Variable descriptions should include how the measurements were made or calculated, what units were used, and their precision. Number data should be submitted in a csv file format with a header line identifying the variables. All submissions will be peer reviewed to assess usefulness and meaningfulness of the data, and subsequent comments accepted showing novel analyses of the submitted data.
Contemporary Journal Concept Press
2016-09-30 00:00:00
Peer-reviewed Data Publication
application/pdf
http://mcfns.com/index.php/Journal/article/view/8.8
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 8, No 2: MCFNS September 30, 2016
eng
Global
Contemporary; Historical;
Copyright (c) 2016 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/242
2021-04-14T18:13:51Z
Journal:Modeling
nmb a2200000Iu 4500
"180330 2018 eng "
1946-7664
dc
Forks in my road toward more mathematics in forest dynamics models (An Invited Autobiographical Note)
Leary, Rolfe A
Rolfe Leary & Associates
Array
This note describes personal fits and starts in the author’s career seeking an education to permit a serious use of applied mathematics in forest dynamics research. The personal journey through mathematics, while maintaining roots in forest dynamics, was not very efficient, and the sought after goal of universal description remains only partially tested. It would appear that significant improvement has been made in representing sugar maple height growth, based on application of 14 different differential equation models found in the literature over the last 175 years, but causal environmental variables are not identified.
Contemporary Journal Concept Press
2018-03-30 00:00:00
Peer-reviewed Modeling Papers
application/pdf
http://mcfns.com/index.php/Journal/article/view/10.3
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 10, No 1: MCFNS March 30, 2018
eng
North America
1822-1994
Literature on growth equations.
Copyright (c) 2018 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/275
2021-04-14T18:12:06Z
Journal:SOFOR
nmb a2200000Iu 4500
"201030 2020 eng "
1946-7664
dc
Forest canopy benefits in small urban areas of Louisiana
Crosby, Michael
Louisiana Tech University - School of Agricultural Sciences and Forestry
McConnell, T. Eric
Mississippi State University - Department of Forestry
Holderieath, Jason J.
Louisiana Tech University - School of Agricultural Sciences and Forestry
Array
Urban forests provide many benefits to areas in which they grow, sequestering carbon, mitigating pollution and rainfall runoff, and helping conserve energy. It is crucial that urban trees be managed to maximize the benefits they provide. However, not all urban areas have the capacity, staffing, or infrastructure to adequately manage these areas. Many smaller urban areas are largely unaccounted for in benefit assessment of urban areas within a state. This study presents the estimated benefits of 10 small urban areas in Louisiana that illustrate the tree coverage and benefits of small urban tree cover. i-Tree Canopy was utilized to provide coverage estimates and benefits by photo-interpreting 500 randomly allocated points within each city. Percent tree cover ranged from 11.2%-41% in the 10 cities; estimates of air and atmospheric pollutant mitigation and carbon sequestration and storage were also obtained. These estimates are important considerations for small urban areas because they demonstrate the importance and need for forest management that optimizes community benefits provided to the public.
Contemporary Journal Concept Press
2020-10-30 00:00:00
Peer-reviewed GIS Papers from Southern USA
application/pdf
http://mcfns.com/index.php/Journal/article/view/12.8
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 12, No 2: MCFNS October 30, 2020
eng
Louisiana
Copyright (c) 2020 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/307
2023-10-15T04:45:37Z
Journal:Sampling
nmb a2200000Iu 4500
"230430 2023 eng "
1946-7664
dc
Nearest-tree and Variable Polygon Sampling
Iles, Kim
Kim Iles & Associates Ltd. http://www.island.net/~kiles/
Array
Sampling a nearest neighbor is often presented as a Hansen-Hurwitz or Horvitz-Thompson
estimation process. This may not be the most informative viewpoint, and measuring the probability of
selection is not necessary. The measurement of the nearest object as a “depth” over the selection area can
be done by a sampling process, and the total estimated without knowing the polygon areas. The process is
unbiased, quite general, and easy to understand. It can be extended to more than just the nearest object
to a sample point and to many different polygon shapes. This paper is an extension, simplification and
generalization of an earlier paper in this journal (Iles, K. 2009. “Nearest-tree” estimations—A discussion
of their geometry, MCFNS 1(2), pp. 47–51.), but does not require a random orientation or weighting for
the direction of measurement from the tree to the polygon border.
Contemporary Journal Concept Press
2023-04-30 00:00:00
Peer-reviewed Experimental Design Works
application/pdf
http://mcfns.com/index.php/Journal/article/view/15.1
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 15, No 1: MCFNS April 30, 2023
eng
Global
All stages of forest succession.
Volumes; diameters; heights;
Copyright (c) 2023 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/39
2013-06-18T13:33:17Z
Journal:SSAFR
nmb a2200000Iu 4500
"100212 2010 eng "
1946-7664
dc
Comparisons of three different methods used to generate forest landscapes for spatial harvest scheduling problems with adjacency restrictions
Li, Rongxia Tiffany
University of Maine, USA
Bettinger, Pete
The University of Georgia, USA http://www.forestry.uga.edu/warnell_bios/app/Public/ViewBio/2
Weiskittel, Aaron
University of Maine, USA
Array
Dealing with adjacency constraints is currently one of the main research focuses of spatial harvest scheduling problems. In the forestry literature, hypothetical landscape models are typically used to demonstrate the usefulness of new solution generation techniques. Besides basing these hypothetical landscapes on real-world forest data, simulated grids have been used as a common way to generate hypothetical forest stands, i.e., each forest stand has a regular shape and an equal number of neighbors. To avoid this regularity, Voronoi diagrams and random graphs have also been proposed in the recent forest literature to generate hypothetical landscapes that describe the location of stands and their inherent adjacency relationships. It is beneficial and necessary to examine how different simulation methods affect final solutions in regards to adjacency relationships. In this study, comparisons were made among these three methods (grids, Voronoi diagrams, and random graphs) for demonstrating and solving a typical spatial harvest scheduling problem. Advantages and disadvantages using each of the three methods are discussed and useful suggestions are provided in terms of selecting one particular method for research purposes. MCFNS 2(1):53-60.
Contemporary Journal Concept Press
2010-02-28 00:00:00
Peer-reviewed Papers on System Analysis
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS.2-53
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 2, No 1: MCFNS February 28, 2010
eng
United States
Year
Ownership
Copyright (c)
oai:ojs.mcfns.com:article/94
2013-05-18T09:28:10Z
Journal:Letter
nmb a2200000Iu 4500
"100816 2010 eng "
1946-7664
dc
ZEIDE’S LOGIC, AND CONCLUSION, “Falsification without verification (and hence induction) cannot existâ€, are invalid
Rennolls, Keith
Professor Emeritus, University of Greenwich, UK http://www.cms.gre.ac.uk/staff/details.asp?id=248
Array
Contemporary Journal Concept Press
2010-08-28 00:00:00
Unsolicited Commentaries
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS.2-161
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 2, No 2: MCFNS August 28, 2010
eng
Global
Contemporary
Theoretical constructs
Copyright (c)
oai:ojs.mcfns.com:article/114
2011-08-29T10:26:06Z
Journal:FIA
nmb a2200000Iu 4500
"110802 2011 eng "
1946-7664
dc
Errors In Terrain-Based Model Predictions Caused By Altered Forest Inventory Plot Locations In The Southern Appalachian Mountains, USA
Wang, Huei-Jin
Virginia Tech, USA
Prisley, Stephen P.
Virginia Tech, USA
Radtke, Philip J.
Virginia Tech, USA
Coulston, John
USDA Forest Service, Southern Research Station, FIA, USA
Array
Forest modeling applications that cover large geographic areas can benefit from the use of widely-held knowledge about relationships between forest attributes and topographic variables. A noteworthy example involves the coupling of field survey data from the Forest Inventory Analysis (FIA) program of USDA Forest Service with digital elevation model (DEM) data in attempts to explain how topographic characteristics influence forest productivity, vegetation composition, fire behavior, and other phenomena. Because U.S. federal law prohibits the release of actual FIA plot coordinates, only altered coordinates are released to the public. Here, terrain-based variables derived from a 10 m DEM using actual FIA plot locations were compared to those from altered plot locations in a region of the Southern Appalachian Mountains of western North Carolina, USA. Variables examined included simple terrain attributes such as percent slope and azimuth of aspect, and composite attributes such as terrain shape index, flow accumulation, slope position and forest site quality index. Results showed little correspondence between variables from altered plot locations compared to those derived using actual locations. Further, FIA field measurements of percent slope and azimuth of aspect showed little correspondence with corresponding DEM-derived estimates from the actual plot coordinates. In order to effectively link FIA plot data with DEM-derived topographic variables in mountainous regions like the Southern Appalachians, access to actual plot coordinates or terrain variables derived from them may be required.
Contemporary Journal Concept Press
2011-08-28 00:00:00
Peer-reviewed FIA-related Papers
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS.3-114
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 3, No 2: MCFNS August 28, 2011
eng
North Carolina, USA
Contemporary
FIA data; USGS Digital elevation data
Copyright (c)
oai:ojs.mcfns.com:article/155
2021-04-14T18:20:09Z
Journal:MicroDetect
nmb a2200000Iu 4500
"130330 2013 eng "
1946-7664
dc
Wood quality assessment of tree trunk from the tree branch sample and auxiliary data based on NIR Spectroscopy and SilviScan
Cieszewski, Chris J
The University of Georgia, USA http://scholar.google.com/citations?hl=en&user=npyjSdoAAAAJ&view_op=list_works&pagesize=10
Strub, Mike
The University of Georgia, USA
Antony, Finto
The University of Georgia, USA
Bettinger, Pete
The University of Georgia, USA http://scholar.google.com/citations?hl=en&user=rvCOS60AAAAJ&pagesize=100&view_op=list_work
Dahlen, Joseph
The University of Georgia, USA
Lowe, Roger C
The University of Georgia, USA
Array
We estimated wood quality parameters for a specific tree trunk using samples of this tree’s branch, and auxiliary samples from other similar species, based on analysis of wood density, modulus of elasticity (MOE), and microfibril angle (MFA), measured with the near-infrared spectroscopy (NIRS) and SilviScan processes. The measured materials included a branch sample from the subject tree, also known as the smolensk birch1, and stem analysis disk samples from silver birch (Betula pendula Roth) trees collected in central Poland. We analyzed and modeled the pith-to-bark and base-to-tip density changes in the silver birch samples, and using developed models estimated the subject tree trunk air-dry wood quality parameters and compared them with published yellow birch (Betula alleghaniensis) and silver birch tabular data. Then we compared the corresponding surrogated green wood parameters of the subject tree against the standard American utility wood pole parameters, and identified environmental adjustments necessary for a realistic and accurate representation of the final subject tree wood characteristics. The final conclusions from this study are that the subject tree dry wood parameters are not significantly different (in the statistical sense) from the well-documented yellow birch parameters, which were used as their surrogate, and even without the due reductions in parameters for excessive amount of whorls and branches, and for the height of the tree brake (5 to 7 m above ground), the structural parameters of the subject tree green wood, as applicable to live tree and as surrogated by appropriate yellow birch parameters, are generally weaker than corresponding dry wood parameters for the standard American wood poles and weaker then the southern yellow pine parameters. The adjustments for the whorls and knots and height of the brake may yield some additional 50% reduction in the estimates for the subject tree structural wood parameter values.
Contemporary Journal Concept Press
2013-03-30 00:00:00
Peer-reviewed Multidisciplinary Works
application/pdf
http://mcfns.com/index.php/Journal/article/view/155
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 5, No 1: MCFNS March 30, 2013
eng
Smolensk, Russia
April 2010
Wood samples; Tabular Data; Photographs;
Copyright (c)
oai:ojs.mcfns.com:article/183
2023-10-20T02:46:24Z
Journal:SOFOR
nmb a2200000Iu 4500
"140930 2014 eng "
1946-7664
dc
Creation of GIS data requirements for FARSITE modeling of an historic wildfire
Williams, Thomas M
Baruch Institute of Coastal Ecology and Forest Science
Clemson University
Williams, Brian J
Baruch Institute of Coastal Ecology and Forest Science
Clemson University
Song, Bo
Baruch Institute of Coastal Ecology and Forest Science
Clemson University
Array
The September 1, 1894 fire near Hinckley, Minnesota has well documented accounts from many survivors that allow position of the flame front to be established for a number of times throughout the fire. FARSITE is a modern fire spread rate simulation model requiring spatial layers of elevation, slope aspect, timber type, and derived layers of fuel type, crown cover, stand height, crown base height, crown bulk density, duff and coarse woody debris. We combined present GIS data, historical map data, and present ecosystem properties to provide data needed for these layers. GIS output of FARSITE spread predictions were used to match flame front position to eyewitness accounts and model parameters were altered to produce a flame front location and time that matched eyewitness location and timing.
Contemporary Journal Concept Press
2014-09-30 00:00:00
Peer-reviewed GIS Papers from Southern USA
application/pdf
text/x-tex
http://mcfns.com/index.php/Journal/article/view/6_80
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 6, No 2: MCFNS September 30, 2014
eng
http://mcfns.com/index.php/Journal/article/download/183/1112
http://mcfns.com/index.php/Journal/article/download/183/1113
http://mcfns.com/index.php/Journal/article/download/183/1114
http://mcfns.com/index.php/Journal/article/download/183/1115
http://mcfns.com/index.php/Journal/article/download/183/1116
east central Minnesota
1894
GIS data
Copyright (c)
oai:ojs.mcfns.com:article/208
2021-04-14T18:16:54Z
Journal:SOFOR
nmb a2200000Iu 4500
"160930 2016 eng "
1946-7664
dc
Spatial Assessment of Meadow Vole Herbivory on a Replanted Agriculture Field in Mississippi
Crosby, Michael K
Shorter University
Self, Andrew B
Mississippi State University
Array
Successful afforestation of fields formerly used for agricultural production is dependent upon manageable seedling mortality rates. Animal herbivory can exacerbate mortality of planted seedlings beyond acceptable levels. A study conducted at a planted site in Desoto County, Mississippi, of 1,440 bare-root seedlings comprised of Nuttall oak (Quercus texana Buckley), Shumard oak (Quercus shumardii Buckley), and swamp chestnut oak (Quercus michauxii Nutt.) exhibited high levels of mortality as a result of herbivory by meadow voles (Microtus pinetorum LeConte) seven years after planting. Tree locations, according to planting, were analyzed using hot-spot (Getis-Ord Gi*) and cluster-outlier (Anselin Moran’s I) analyses to determine if a spatial pattern exists for herbivory by meadow voles. Meadow voles accounted for 94 percent of the mortality on the planting site. A spatial relationship was determined for motality caused by meadow vole herbivory, particularly for the Nuttall oak seedlings (i.e., cold spots). Overall, it was determined that meadow voles favored Nuttall oak seedlings throughout the planting area over Shumard and swamp chestnut oaks.  Should animal herbivory lead to unacceptably high mortality for seedlings, this information will be useful to resource managers for the application of counter-measures to prevent increased mortality.
Contemporary Journal Concept Press
2016-09-30 00:00:00
Peer-reviewed GIS Papers from Southern USA
application/pdf
http://mcfns.com/index.php/Journal/article/view/8.5
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 8, No 2: MCFNS September 30, 2016
eng
http://mcfns.com/index.php/Journal/article/download/208/1366
Lower Mississippi Alluvial Valley
Age; Survival
Copyright (c) 2016 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/239
2021-04-14T18:13:51Z
Journal:SOFOR
nmb a2200000Iu 4500
"180330 2018 eng "
1946-7664
dc
Geospatial Assessment of Potential American Chestnut (Castanea Dentata) Reestablishment -- Presentation Summary
Zhang, Siyu
Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun City, China.
Array
The American chestnut (Castanea dentata) was once the dominant deciduous tree species of eastern North America forests. It produced a large amount of seed and lumber and was once regarded as the perfect tree species, having also a positive ecological impact on ecosystems.  At the beginning of 20th century, two exotic fungi, Phytophthora cinnamomi and Cryphonectria parasitica killed great many C. dentata bringing its population to near extinction. By the 1950s, C. dentata lost its historical position as a dominating tree species in the United States forests; and although, some sprouts of this species can still be discovered within its native range, they are usually quickly killed by the blight. Thanks to breeding techniques, biological control and genetic engineering, advances has been made in effort to produce blight-resistance seedlings, which are projected to succeed in production during the upcoming decades.  Even in the presence of blight-resistance seedlings production the cultivation of C. dentata species requires a full site preparation and a range of intensive management plantation silvicultural treatments. Because of the high costs associated with C. dentata reestablishment, it is important to maximize its successful development by carefully choosing the most suitable sites for its growth.
The presented here study used Multi-Criteria Decision Analysis (MCDA) method to produce a spatial distribution suitability map for the reestablishment of C. Dentata in northeast Georgia. The results of the analysis suggest that in the investigated study area there is only 3.75% of sites either unsuitable or of low suitability for rebuilding the habitats for C. dentata, while there is 58.98% of sites with high or very high suitability for such habitats, and 37.27% of sites with medium suitability. The results indicate that soil texture, slope and soil organic matter play the most important roles for C. dentata reestablishment suitability, while climatic factors and soil pH don't play any significant role in suitability of the sites for C. dentata reestablishment. Although, most of the suitable sites for reestablishing C. dentata are present in forests, particularly with Deciduous tree species, the results of this analysis showed no clear preferences of this species towards any specific land cover types. Furthermore, C. dentata showed also to be indifferent to most of the topographic condition, and only slope appeared to be potentially a limiting factor if it exceeds 70% on the reestablishment sites, when they become unsuitable for the restoration. This analysis also considers the ownership of the suitable sites to evaluate the potential of the C. dentata reestablishment on our study area. Of all the suitable sites 72.56% fall within federal lands and 27.44% in private lands. Deciduous Forest is the main land cover type of our suitable sites owned by both the federal government and the private landowners.  Since expensive treatments are required to successfully reestablish C. dentata, the 27.44% of the land base within the considered area will be subject to the landowners’ consideration of the economic versus ecological tradeoffs, which may affect the reestablishment rate on these lands.
Contemporary Journal Concept Press
2018-03-30 00:00:00
Peer-reviewed GIS Papers from Southern USA
application/pdf
http://mcfns.com/index.php/Journal/article/view/10.7
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 10, No 1: MCFNS March 30, 2018
eng
South Eastern USA
21st century
Seedlings counts and regeneration survey
Copyright (c) 2018 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/258
2021-04-10T02:09:22Z
Journal:Modeling
nmb a2200000Iu 4500
"200420 2020 eng "
1946-7664
dc
AN OPTIMIZED MODEL FOR PREDICTING FOREST FIRES AREA BASED ON BINOCULAR VISION
Li, Xingdong
1.College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, Chinaï¼›
2.Northern Forest Fire Management Key Laboratory of the State Forestry and Grassland Bureau, Northeast Forestry University, Harbin 150040, China https://cmee.nefu.edu.cn/
Gao, Hewei
1.College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, Chinaï¼› https://cmee.nefu.edu.cn/
Han, Chengqi
1.College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, Chinaï¼› https://cmee.nefu.edu.cn/
Wang, Yangwei
1.College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, Chinaï¼› https://cmee.nefu.edu.cn/
Hu, Tongxin
1.College of Forestry, Northeast Forestry University, Harbin 150040, China;
2.Northern Forest Fire Management Key Laboratory of the State Forestry and Grassland Bureau, Northeast Forestry University, Harbin 150040, China https://forestry.nefu.edu.cn/
Sun, Long
1.College of Forestry, Northeast Forestry University, Harbin 150040, China;
2.Northern Forest Fire Management Key Laboratory of the State Forestry and Grassland Bureau, Northeast Forestry University, Harbin 150040, China https://forestry.nefu.edu.cn/
Guo, Yanling
Array
 Forecasting of forest fire area is of great significance to effectively control the spread of forest fire. In this paper, the forest fire spreading velocity model and the forest fire spreading simulation technology based on huygens principle are used to estimate the forest fire area. Firstly, binocular camera is used to collect the firing state data of wild forest fire, and segment the firing image, extract the firing line,
locate the firing line and calculate the three-dimensional coordinates of the firing line pixels according to perspective projection model;. Secondly, the forest fire spreading velocity model based on Wang Zhengfei’s model is redesigned. The model parameters of forest fire area were optimized by gradient method. The prediction accuracy is much higher than that of the model before optimization.
Contemporary Journal Concept Press
2020-03-30 00:00:00
Peer-reviewed Modeling Papers
application/pdf
http://mcfns.com/index.php/Journal/article/view/12.2
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 12, No 1: MCFNS March 30, 2020
eng
http://mcfns.com/index.php/Journal/article/download/258/0
meadow ï¼›
November
Spreading area
Copyright (c) 2020 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/297
2023-10-15T04:55:37Z
Journal:GIS%2BRS
nmb a2200000Iu 4500
"220430 2022 eng "
1946-7664
dc
ESTIMATING DIAMETER AND HEIGHT DISTRIBUTIONS FROM AIRBORNE LIDAR VIA COPULAS
Yang, Ting-Ru
Faculty of Forestry and Environmental Management
University of New Brunswick
Kershaw, John A
Faculty of Forestry, University of New Brunswick http://ifmlab.for.unb.ca/People/Kershaw/
Array
Estimates of quantitative variables in forest stands often are required. Light Detection and Ranging (LiDAR) can create three-dimensional point clouds of forest structures and ground surface
elevation maps. These features are useful for quantifying forest stand parameters such as volume and canopy height at broad scales. This study explores the potential of applying copulas and LiDAR metrics to obtain diameter and height estimates. Predicted values were compared with field measurements. Diameter and height distributions were obtained using moment–based parameter recovery and prediction of moments using nonlinear least squares from LiDAR attributes. We then used copula methods to link the diameter and height distributions. Using the diameter and height distributions, other attributes such as volume or carbon content can be estimated and summed to obtain area-based estimates.
Contemporary Journal Concept Press
2022-04-30 00:00:00
Peer-reviewed Spatial Analysis Papers
application/pdf
http://mcfns.com/index.php/Journal/article/view/14.1
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 14, No 1: MCFNS April 30, 2022
eng
Acadian Forest
Copyright (c) 2022 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/44
2011-05-01T22:50:42Z
Journal:G%26Y%2BQS
nmb a2200000Iu 4500
1946-7664
dc
Algebraic Difference Equations Of Stand Height, Diameter, And Volume Depending On Stand Age And Site Factors For Estonian State Forests
Kiviste, Külliki
Estonian Agricultural University, Faculty of Forestry, Estonia http://mi.emu.ee/147346
Kiviste, Andres
Estonian Agricultural University, Faculty of Forestry, Estonia http://noltfox.metla.fi/contact.htm
Array
Algebraic difference equations of stand height, diameter, and volume depending on dominant species and site factors have been explored on the basis of Estonian state forest inventory data. Stand variables such as total age, average height, breast height diameter, volume, origin (naturally regenerated or cultivated), forest site type and dominant species from forest inventory database files of Estonian state forests have been used as initial data for this study. A total of 171 data series of height, diameter and volume on age were calculated as averages of data groups by site type, dominant species, origin, and age classes of 5 years. The Cieszewski, Bella (1989) algebraic difference equation has been used for model construction. First, tree parameters of the Hossfeld function were estimated for each of the height, diameter and volume series and relationships between the parameters were later studied. In the final model, dominant tree species, thickness of organic layer of soil, stand origin, height, diameter, and volume at given age were used as input variables. The model is included in the Estonian state forest information system and in several software packages for forest inventory data processing.
Contemporary Journal Concept Press
2009-08-28 00:00:00
Peer-reviewed Papers on Growth and Mortality Dynamics
application/pdf
application/postscript
application/x-tex
http://mcfns.com/index.php/Journal/article/view/MCFNS.1-67
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 1, No 2: MCFNS August 28, 2009
eng
Estonia
Contemporary
Age, Height, Diameter
Copyright (c)
oai:ojs.mcfns.com:article/72
2011-04-16T22:55:08Z
Journal:SSAFR
nmb a2200000Iu 4500
"100809 2010 eng "
1946-7664
dc
ECOSEL: An Auction Mechanism for Forest Ecosystem Services
Tóth, Sándor F.
The University of Washington, USA http://faculty.washington.edu/toths/
Ettl, Gregory J.
The University of Washington, USA http://www.cfr.washington.edu/SFRPublic/People/FacultyProfile.aspx?PID=43
Rabotyagov, Sergey S.
The University of Washington, USA http://www.cfr.washington.edu/SFRPublic/People/FacultyProfile.aspx?PID=50
Array
This paper describes the foundations of a market mechanism that was designed to stimulate more efficient provisions of forest ecosystem services to society. The proposed tool is a competitive multi-unit public goods subscription game of incomplete information. A conceptual and mathematical characterization of the game is followed by an illustrative example where Pareto-efficient bundles of timber, carbon and mature forest habitat services of a real forest are used in a simulated bidding game. Attractive features of the mechanism include the use of multi-criteria optimization to ensure only the most cost-efficient bundles of ecosystem services are offered for bidding, and that it does not rely on regulatory control or on complex valuation exercises that are otherwise needed in alternative methods such as the cap-and-trade scheme. MCFNS 2(2):99-116.
Contemporary Journal Concept Press
2010-08-28 00:00:00
Peer-reviewed Papers on System Analysis
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS.2-99
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 2, No 2: MCFNS August 28, 2010
eng
Pacific Northwest
Future
Bids
Copyright (c)
oai:ojs.mcfns.com:article/88
2023-10-20T02:45:35Z
Journal:DSTSFM
nmb a2200000Iu 4500
"110713 2011 eng "
1946-7664
dc
An integrated MCDA software application for forest planning: a case study in southwestern Sweden
Korosuo, Anu
Swedish University of Agricultural Sciences, Umeå, Sweden
Wikström, Peder
Swedish University of Agricultural Sciences, Umeå, Sweden
Öhman, Karin
Swedish University of Agricultural Sciences,
Umeå, Sweden
Eriksson, Ljusk Ola
Swedish University of Agricultural Sciences, Umeå, Sweden
Array
Forest planning in Sweden today translates not only into planning of timber production, but also for the provision of other functions and services. Multi-criteria decision analysis (MCDA) methods provide a way to take also non-monetary values into account in planning. The purpose of this study was to gain experience on how to use a forest decision support system combined with an MCDA tool in practical forestry. We used a new forest planning tool, PlanWise, which includes an integrated MCDA module, PlanEval. Using the software, the decision maker can compare different forest plans and evaluate them against his/her objectives in a structured and analytical manner. The analysis thus provides a ranking of the alternatives based on the individual preferences of the decision maker. PlanEval and the MCDA planning process are described in a case study, where the manager of a forest estate in southwestern Sweden used the program to compare different forest plans made for the estate. In the paper, we analyze possibilities and challenges of this approach and identify problems such asthe adherence to formal requirements of MCDA techniques and the difficulty of comparing maps. Possibilities to expedite an MCDA planning process further are also discussed. The findings confirm that integration of an MCDA tool with a forest decision support system is valuable, but requires expert assistance to be successful.
Â
Keywords: AHP, case study, forest decision support system, Heureka, multi-criteria decision analysis
Contemporary Journal Concept Press
2011-08-28 00:00:00
Peer-reviewed DSS-Related Papers
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS.3-75
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 3, No 2: MCFNS August 28, 2011
eng
http://mcfns.com/index.php/Journal/article/download/88/388
http://mcfns.com/index.php/Journal/article/download/88/389
http://mcfns.com/index.php/Journal/article/download/88/390
http://mcfns.com/index.php/Journal/article/download/88/391
http://mcfns.com/index.php/Journal/article/download/88/392
http://mcfns.com/index.php/Journal/article/download/88/393
http://mcfns.com/index.php/Journal/article/download/88/394
http://mcfns.com/index.php/Journal/article/download/88/395
Scandinavia
Copyright (c)
oai:ojs.mcfns.com:article/140
2012-09-30T23:59:04Z
Journal:GIS%2BRS
nmb a2200000Iu 4500
"120930 2012 eng "
1946-7664
dc
Influence of the juxtaposition of trees on consumer-grade GPS position quality
Bettinger, Pete
The University of Georgia, USA http://www.forestry.uga.edu/warnell_bios/app/Public/ViewBio/2
Merry, Krista L.
The University of Georgia, USA
Array
Static horizontal position accuracy of a consumer-grade GPS receiver was estimated in a young loblolly pine (Pinus taeda) plantation in Georgia (USA) to determine whether the arrangement of trees had any influence on position quality. No significant relationship was observed between static horizontal positional accuracy and environmental variables (air temperature, relative humidity, and atmospheric pressure) or the planned positional dilution of precision (PDOP) of the NAVSTAR satellite configuration. However, in a semi-spatial sense, we found moderate correlation between average positional error and a few forest structure measures. For example, we observed that as hardwood (deciduous species) basal area and hardwood tree count within 4 or 5 m of a test point increased, the average positional error tended to increase. No significant correlation was observed using forest structure values obtained within 3 m of each test point. However, some directional effects were observed with increases of pine tree count, pine basal area, and total live tree basal area within 4 or 5 m of each test point. And using rose diagrams (circular histograms), we observed that in some sense there was a negative attraction between the location of live trees and the position determined by the GPS receiver.
Contemporary Journal Concept Press
2012-09-30 00:00:00
Peer-reviewed Spatial Analysis Papers
application/pdf
http://mcfns.com/index.php/Journal/article/view/140
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 4, No 2: MCFNS September 30, 2012
eng
Southern USA
Contemporary
Hardwood and Softwood stands
Copyright (c)
oai:ojs.mcfns.com:article/172
2023-10-20T02:45:42Z
Journal:Modeling
nmb a2200000Iu 4500
"140330 2014 eng "
1946-7664
dc
The Role of Age-Structure in the Optimal Germination Fraction of Seeds
Webster, Amy K.
Institutional Affiliations: Department of Genetics, University of Georgia,
Athens, GA 30602. http://www.promislowlab.org/currentpeople.html
Cieszewski, Rene
University of Georgia
Promislow, Daniel
University of Georgia http://www.genetics.uga.edu/people_bio_promislow.html
Array
When a plant living in an unpredictable environment produces seeds, its ideal strategy might not be to have all seeds germinate at once. What is the germination fraction that will maximize a plant's fitness, allowing the plant to hedge its bets in case of a poor year? To answer this question, in his now classic 1966 paper, Dan Cohen worked out the optimal annual germination fraction for seeds in a fluctuating environment. His result was elegant, but relied on a series of simplifying assumptions. We focus here on two specific assumptions. Namely, Cohen assumed that the population consists of annual plants, which have no adult age-structure, and that a seed's age has no effect on whether or not it will germinate. We review empirical and theoretical papers that have considered what happens when one or both of these assumptions is relaxed. More than a half-century has passed since Cohen's landmark study, and yet the existing literature has yet to provide theoretical solutions for perennial species as Cohen was able to do for annuals. Empirical studies have addressed short-lived perennials with minimal seed dormancy. However, perennials with longer lifespans and significant dormancy, such as many species of trees, are left largely unexplored. In this light, we conclude our review with ideas that we hope will encourage future research on both theoretical and experimental aspects of this important problem.
Contemporary Journal Concept Press
2014-03-30 00:00:00
Peer-reviewed Modeling Papers
application/pdf
http://mcfns.com/index.php/Journal/article/view/6_26
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 6, No 1: MCFNS March 30, 2014
eng
Global
Seeding and Germination; Regeneration;
Age-Structure; Annual vs. Perennial
Copyright (c)
oai:ojs.mcfns.com:article/214
2021-04-14T18:17:46Z
Journal:SOFOR
nmb a2200000Iu 4500
"160330 2016 eng "
1946-7664
dc
An overview of the 10th Southern Forestry and Natural Resource Management GIS Conference
Bettinger, Pete
University of Georgia http://www.forestry.uga.edu/warnell_bios/app/Public/ViewBio/2
Merry, Krista
University of Georgia
Array
With this brief summary, we provide an introduction and overview of a paper delivered at the 10th Southern Forestry and Natural Resource Management GIS Conference (SOFOR GIS). The conference was held in Athens, Georgia (USA) on December 7-8, 2015. Although still undergoing peer review, we anticipate that future issues of MCFNS will include other papers from the conference.
Contemporary Journal Concept Press
2016-03-30 00:00:00
Peer-reviewed GIS Papers from Southern USA
application/pdf
http://mcfns.com/index.php/Journal/article/view/MSFNS.8.1
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 8, No 1: MCFNS March 30, 2016
eng
Southeastern USA
21 Century
Multisource data in spatial technologies
Copyright (c) 2016 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/210
2023-10-20T02:43:26Z
Journal:SOFOR
nmb a2200000Iu 4500
"170930 2017 eng "
1946-7664
dc
GIS Analysis of Historical Maps: A case study from an 1885 survey of the Congaree River
Williams, Thomas M
Clemson University
Song, Bo
Clemson University
Shelley, David C
National Park Service
Array
Large floodplain forests, such as the area preserved by Congaree National Park in South Carolina, are among the most dynamic terrestrial ecosystems known on earth. Flooding and migration of river meanders constantly disturb, create, and erode forest habitats. This provides abundant opportunities for new primary succession. Like many long-term processes, meander evolution is primarily understood from extrapolation of short-term measurements (events or 1-2 year campaigns), decadal-scale rates from comparison of mid- to late 20th century aerial photographs, or millennial-scale trends from geological and geomorphic analysis. There is often a gap in detailed analysis of century-scale geomorphic trends without excessive and expensive radiometric dating techniques. A unique opportunity to examine more than 100 years of channel change on the Congaree River is presented by an 1885 map. This 1:6000 scale map was prepared from a survey conducted by the US Army to determine the cost of removing snags and rocks impeding steamboat traffic. Using modern GIS techniques, a composite plat from that survey was scanned from the National Archives and geo-referenced to a modern datum. Managing these images involves several caveats (drafting errors, north arrow alignments, availability of registration points, paper stretch, etc.), but the overall quality of the map was evident by very reasonable channel locations relative to other aerial photographs from 1938 and 1999. Although some errors were found, comparison of 1885 and 1999 data allowed measurements of channel migration rates and patterns over 114 years.
Contemporary Journal Concept Press
2017-09-30 00:00:00
Peer-reviewed GIS Papers from Southern USA
application/pdf
http://mcfns.com/index.php/Journal/article/view/9.6
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 9, No 2: MCFNS September 30, 2017
eng
Copyright (c) 2017 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/259
2019-04-04T22:10:25Z
Journal:RTC
nmb a2200000Iu 4500
"190330 2019 eng "
1946-7664
dc
Special Issue on SELECTED EXAMPLES OF RECENT TRENDS IN COMPUTING
Rajesh, M
Dept of Computer Science and Engineering, KRS College of Engineering, India. https://www.researchgate.net/profile/Rajesh_Manoharan3
Kannan, V
Dept of Computer Science and Engineering, KRS College of Engineering, India.
Cieszewski, C J
Institute for Artificial Intelligence, University of Georgia, Athens, GA, USA.
Array
The presented here a collection of conference papers is a Special Volume on Recent Trends in Computing that was compiled by the editors for the Mathematical and Computational Forestry {\ } Natural-Resource Sciences (MCFNS) journal. The creation of this Special Issue and the Special Section, which contains it, was requested by the organizers of the International Conference on Recent Trends in Computing (ICRTC-2017), held on Dec. 14-15, 2017, at the SRM Institute of Science and Technology (formerly SRM University) on the NCR Campus, Tamil Nadu, India. The purpose of the Special Section hosting this volume is to contain publications originated from this and other similar scientific endeavors involving research on developments of computing technology as relevant to various Computational Sciences associated with natural resources or related to their research and management. In the current issue, dedicated in its entirety to this conference, we present a set of the papers in this category, which includes 29 selected examples of research that have been reviewed externally by the conference organizers.
Contemporary Journal Concept Press
2019-03-30 00:00:00
Externally Peer-reviewed Articles
application/pdf
http://mcfns.com/index.php/Journal/article/view/11.1
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 11, No 1: MCFNS March 30, 2019
eng
Global
Contemporary
Conceptual developments;
Copyright (c) 2019 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/292
2021-04-14T23:00:02Z
Journal:Modeling
nmb a2200000Iu 4500
"210330 2021 eng "
1946-7664
dc
UTADA: Unified Theory of the Algebraic Differences Approaches---Derivation of Dynamic Site Equations from Yield-Site Relationships
Cieszewski, Chris J.
The University of Georgia http://mcfns.com/index.php
Array
Dynamic-equation-based self-referencing models of the form: Y=f(y0,t0,t) describe changes in Y as a function of two variables: one longitudinal variable t, and one unobservable cross-sectional variable X. Traditionally, X is represented implicitly by its substitution of a snapshot value of Y, (y0), at an arbitrary value of t, (t0). The unobservable variable X represents the environment potential, which cannot be directly measured or precisely defined due to its extreme complexity and variability. While the most elusive and difficult in handling, X is the most critical variable of the dynamic site equations due to its disproportionate impact on the modeled dynamics, yet, all traditional approaches to such modeling are predominantly based on a detailed analysis of primarily longitudinal relationships Y=u(t), which subsequently, to be helpful in practice, are modified into the self-referencing forms. All the former approaches devote little to no effort to explicitly model the cross-sectional relationships governed by the unobservable variable X.
The presented approach unifies the modeling efforts of defining yield and site relationships equally by focusing primarily on direct mathematical formulations describing the theory of their interaction. This approach considers the variable t only in the secondary analysis, adding it to the model through modifying the final model parameters. Despite the somewhat elusive nature of exploring the unobservable properties of the site, the new approach appears to be highly empowering by analyzing more direct yet more robust relationships between Y and X as opposed to those between Y and t.
Contemporary Journal Concept Press
2021-03-30 00:00:00
Peer-reviewed Modeling Papers
application/pdf
http://mcfns.com/index.php/Journal/article/view/13.4
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 13, No 1: MCFNS March 30, 2021
eng
Global
Contemporary
Yield; height; site index; age; volume;
Copyright (c) 2021 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/19
2011-04-16T23:16:42Z
Journal:Editorial
nmb a2200000Iu 4500
1946-7664
dc
The Foundation of Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
Cieszewski, Chris J
The University of Georgia, USA http://drcjc.com
Strub, Mike R
Weyerhaeuser Company, Hot Springs, AR, USA
Array
The International Journal of Mathematical and Computational Forestry Natural-Resource Sciences publishes biannual quantitative and analytical works in mathematical and computational forestry and natural resource sciences. The two areas of this scope cover the extreme ends of the currently (several decades old) predominant model of forestry and natural resource research. The center of this model consists of empirical data collection and associated statistical analysis. On one extreme of this model lies analytical derivation, such as equation derivation, mathematical proofs, and hypothetical theories. On the other extreme of the spectrum lie the modern computational sciences based on massive amounts of computations allowing solutions to formerly inconceivable problems. The journal also covers other works geared towards implementation of new computer related technologies or computational solutions.
This journal applies a 3-stage peer review process that includes the traditional editorial consideration and double blind peer review by appointed referees, as well as a modern concept of Open Public Peer-Review system posting journal preprints online for worldwide scrutiny prior to their final publication. This journal promotes the modern features of e-publishing including but not limited to: Open Access, LaTeX support, advanced color graphs and animation publishing, e-attachments, active hyperlinks, custom intercept-links (URLs), flexibility in citation style, accompanying publication of original source manuscripts, manuscript public comments and discussion, and publication of outstanding Reviews as well as dispute and error corrections. MCFNS 1(1):41-46.
Contemporary Journal Concept Press
2009-02-28 00:00:00
Peer-reviewed Opinionated Discussions
application/pdf
application/postscript
http://mcfns.com/index.php/Journal/article/view/MCFNS.1-41
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 1, No 1: MCFNS February 28, 2009
eng
USA, North America, Europe, Asia, Woldwide
Contemporary
publishing, refereed journal,
Copyright (c)
oai:ojs.mcfns.com:article/76
2013-06-18T13:32:15Z
Journal:Review
nmb a2200000Iu 4500
"100228 2010 eng "
1946-7664
dc
Review of: “Comparisons of three different methods used to generate forest landscapes for spatial harvest scheduling problems with adjacency restrictionsâ€
Referee, Anonymous
MCFNS http://mcfns.com
Array
Contemporary Journal Concept Press
2010-02-28 00:00:00
Invited Commentaries
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS.2-63
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 2, No 1: MCFNS February 28, 2010
eng
United States
Year
Ownership
Copyright (c)
oai:ojs.mcfns.com:article/86
2013-03-22T22:41:37Z
Journal:DSTSFM
nmb a2200000Iu 4500
"110228 2011 eng "
1946-7664
dc
Upgrading Geographic Information Systems to Spatio-Temporal Decision Support Systems
Van Orshoven, Jos M.F.
DEES, Katholieke Universiteit Leuven, Belgium http://ees.kuleuven.be/
Kint, Vincent
DEES, Katholieke Universiteit Leuven, Belgium
Wijffels, Anja
Universidad de Cuenca, Cuenca, Ecuador
Estrella, René
Universidad de Cuenca, Cuenca, Ecuador
Bencsik, Gergely
IIE, University of West Hungary, Sopron, Hungary
Vanegas, Pablo
DEES, Katholieke Universiteit Leuven, Belgium
Muys, Bart
DEES, Katholieke Universiteit Leuven, Belgium
Cattrysse, Dirk
CIM, Traffic and Infrastructure, K.U.Leuven, Belgium
Dondeyne, Stefaan
DEES, Katholieke Universiteit Leuven, Belgium
Array
AÂ GIS is capable of identifying a set of land units meeting positional, temporal, topological and multiple on-site attribute criteria. Based on the combination of its generic analytical functionalities, a GIS can also be used to rank the alternative land units and propose the best or worst ones in terms of the non-weighted or weighted criteria. More advanced multi-criteria decision methods are however not easily incorporated in the GIS-framework so that extension with dedicated tools is required to upgrade the GIS to a full blown sDSS. In this paper we illustrate this upgrading of GIS to sDSS and we argue that when also temporal alternatives are dealt with, the DSS can be termed spatio-temporal. Three statements are made: (i) the presented rationale is challenged by phenomena of spatial and spatio-temporal interaction, (ii) important research avenues are present in order to optimize topological and off-site decision attributes in the spatial and spatio-temporal decision problems and (iii) the forestry domain is very suitable for study and application of all the mentioned issues due to the explicit spatial and temporal nature of the management issues which must be addressed. MCFNS 3(1):36-41.
Contemporary Journal Concept Press
2011-02-28 00:00:00
Peer-reviewed DSS-Related Papers
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS.3-36
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 3, No 1: MCFNS February 28, 2011
eng
http://mcfns.com/index.php/Journal/article/download/86/385
Global; Southern Andes of Ecuador
Contemporary
Land unit
Copyright (c)
oai:ojs.mcfns.com:article/110
2013-03-21T23:21:07Z
Journal:OR%2BDSS
nmb a2200000Iu 4500
"120228 2012 eng "
1946-7664
dc
A Strengthening Procedure for the Path Formulation of the Area-Based Adjacency Problem in Harvest Scheduling Models
Tóth, Sándor F.
The University of Washington, USA http://faculty.washington.edu/toths/
McDill, Marc E
The Pennsylvania State University, USA http://sfr.psu.edu/directory/mem14
Konnyu, Nora
The University of Washington, USA
George, Sonney
Walmart Canada
Array
Spatially-explicit harvest scheduling models optimize the spatiotemporal layout of forest management actions to best meet management objectives such as profit maximization, even flow of products, or wildlife habitat preservation while satisfying a variety of constraints. This investigation focuses on modeling maximum harvest opening size restrictions whose role is to limit the size of contiguous clear cuts on a forested landscape. These restrictions, a.k.a. green-up constraints, allow adjacent forest stands to be cut within a pre-specified timeframe, called green-up period, only if their combined area does not exceed a limit. We present a strengthening procedure for one of the existing integer programming formulations of this so-called Area Restriction Model and test the computational performance of the new model on sixty hypothetical and five real forest planning applications. The results suggest that the strengthened model can often outperform the other three existing formulations.
Contemporary Journal Concept Press
2012-02-28 00:00:00
Peer-reviewed Optimization Papers
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS.4%3A27
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 4, No 1: MCFNS February 28, 2012
eng
http://mcfns.com/index.php/Journal/article/download/110/603
http://mcfns.com/index.php/Journal/article/download/110/604
http://mcfns.com/index.php/Journal/article/download/110/605
http://mcfns.com/index.php/Journal/article/download/110/606
http://mcfns.com/index.php/Journal/article/download/110/607
http://mcfns.com/index.php/Journal/article/download/110/608
http://mcfns.com/index.php/Journal/article/download/110/609
http://mcfns.com/index.php/Journal/article/download/110/610
http://mcfns.com/index.php/Journal/article/download/110/611
North America
Copyright (c)
oai:ojs.mcfns.com:article/169
2013-10-01T10:22:41Z
Journal:Sampling
nmb a2200000Iu 4500
"130930 2013 eng "
1946-7664
dc
Quantitative assessment of predicted climate change pressure on North American tree species
Potter, Kevin M
North Carolina State University http://cnr.ncsu.edu/fer/directory/potter.php
Hargrove, William W
Southern Research Station, USDA Forest Service http://www.srs.fs.usda.gov/staff/825
Array
Changing climate may pose a threat to forest tree species, forcing three potential population-level responses: toleration/adaptation, movement to suitable environmental conditions, or local extirpation. Assessments that prioritize and classify tree species for management and conservation activities in the face of climate change will need to incorporate estimates of the risk posed by climate change to each species. To assist in such assessments, we developed a set of four quantitative metrics of potential climate change pressure on forest tree species: (1) percent change in suitable area, (2) range stability over time, (3) range shift pressure, and (4) current realized niche occupancy. All four metrics are derived from climate change environmental suitability maps generated using the Multivariate Spatio-Temporal Clustering (MSTC) technique, which combines aspects of traditional geographical information systems and statistical clustering techniques. As part of the Forecasts of Climate-Associated Shifts in Tree Species (ForeCASTS) project, we calculated the predicted climate change pressure statistics for North American tree species using occurrence data from the USDA Forest Service Forest Inventory and Analysis (FIA) program. Of 172 modeled tree species, all but two were projected to decline in suitable area in the future under the Hadley B1 Global Circulation Model/scenario combination. Eastern species under Hadley B1 were predicted to experience a greater decline in suitable area and less range stability than western species, although predicted range shift did not differ between the regions. Eastern species were more likely than western species, on average, to be habitat generalists. Along with the consideration of important species life-history traits and of threats other than climate change, the metrics described here should be valuable for efforts to determine which species to target for monitoring efforts and conservation actions.
Contemporary Journal Concept Press
2013-09-30 00:00:00
Peer-reviewed Experimental Design Works
application/pdf
text/x-tex
http://mcfns.com/index.php/Journal/article/view/MCFNS_169
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 5, No 2: MCFNS September 30, 2013
eng
http://mcfns.com/index.php/Journal/article/download/169/1020
http://mcfns.com/index.php/Journal/article/download/169/1021
http://mcfns.com/index.php/Journal/article/download/169/1022
http://mcfns.com/index.php/Journal/article/download/169/1023
http://mcfns.com/index.php/Journal/article/download/169/1024
continental United States
tree occurrence data
Copyright (c)
oai:ojs.mcfns.com:article/188
2016-04-26T12:41:21Z
Journal:Sampling
nmb a2200000Iu 4500
"150330 2015 eng "
1946-7664
dc
Plot intensity and cycle-length effects on growth and removals estimates from forest inventories
Van Deusen, Paul
NCASI
Roesch, Francis A.
USDA Forest Service
Southern Station
Asheville, NC
Array
ontinuous forest inventories use permanent plots that are remeasured to provide information on growth, removals and mortality. Typically, all plots are remeasured within a narrow time span, but the USDA Forest Service has popularized a variant referred to as an annual forest inventory where a percentage of the permanent plots are remeasured every year. We discuss trade-offs between number of field plots and cycle length and provide some insight with example applications showing how these decisions impact growth and removals estimates. We also discuss a variant of the traditional growth over removals ratio estimator that limits degradation in estimate quality as cycle lengths increase.
Contemporary Journal Concept Press
2015-03-30 00:00:00
Peer-reviewed Experimental Design Works
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS7.1_4
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 7, No 1: MCFNS March 30, 2015
eng
http://mcfns.com/index.php/Journal/article/download/188/1150
US with emphasis on South
Copyright (c)
oai:ojs.mcfns.com:article/212
2023-10-19T13:43:11Z
Journal:Sampling
nmb a2200000Iu 4500
"170330 2017 eng "
1946-7664
dc
Effect of perturbing the geographic coordinates of forest inventory plots on hotspot cluster detection
Randolph, KaDonna
USDA Forest Service, Southern Research Station, Knoxville, TN 37919 USA https://www.srs.fs.usda.gov/staff/820
Array
The USDA Forest Service Forest Inventory and Analysis (FIA) program makes and keeps current an inventory of all forest land in the United States. Data from this ongoing inventory are available to the public, though FIA is restricted from releasing exact plot locations by the 2000 Interior and Related Agencies Appropriations Act (H.R. 3423). To comply with this policy while at the same time offering its data to the public, FIA makes approximate plot locations available through a process known as perturbing and swapping. This process has little to no effect on some research questions and a considerable effect on others. In this study, using the perturbed and swapped, i.e., the publicly available plot locations, was shown to affect the location, size, and composition of clusters of standing dead trees in the eastern United States as detected by the free spatial scanning software program SaTScanTM. When employing SaTScan with publicly available FIA plot coordinates as compared to using the confidential FIA plot coordinates, users risk identifying a cluster that does not exist (false positive) or failing to identify a cluster that does exist (false negative), or both.
Contemporary Journal Concept Press
2017-03-30 00:00:00
Peer-reviewed Experimental Design Works
application/pdf
http://mcfns.com/index.php/Journal/article/view/9.1
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 9, No 1: MCFNS March 30, 2017
eng
http://mcfns.com/index.php/Journal/article/download/212/1447
eastern United States
Contemporary; all ages;
standing dead trees
Copyright (c) 2017 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/244
2021-04-14T18:13:51Z
Journal:SOFOR
nmb a2200000Iu 4500
"180330 2018 eng "
1946-7664
dc
Overview of the 2017 11th Southern Forestry and Natural Resources GIS Conference
Cieszewski, Chris
University of Georgia http://www.uga.edu
Array
This is a brief overview of the 11th Southern Forestry and Natural Resources GIS Conference (SOFOR GIS) and associated with it current submissions to this Special Section dedicated to the series of these repeated biannually SOFOR GIS conferences. In the current issue we have in this section two papers from this conference, one Research Summary of a Presentation, and two Research Summaries of Posters.
Contemporary Journal Concept Press
2018-03-30 00:00:00
Peer-reviewed GIS Papers from Southern USA
application/pdf
http://mcfns.com/index.php/Journal/article/view/10.4
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 10, No 1: MCFNS March 30, 2018
eng
Worldwide
Contemporary
Publications
Copyright (c) 2018 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/274
2021-04-14T18:12:06Z
Journal:SOFOR
nmb a2200000Iu 4500
"201030 2020 eng "
1946-7664
dc
Using Landsat 8 imagery to determine a threshold for land cover change: a simulation approach
Gay, D. Conner
Louisiana Tech University - School of Agricultural Sciences and Forestry
Crosby, Michael
Louisiana Tech University - School of Agricultural Sciences and Forestry
Holderieath, Jason J.
Louisiana Tech University - School of Agricultural Sciences and Forestry
McConnell, T. Eric
Mississippi State University - Department of Forestry
Array
Satellite data is often employed to assess land use/land cover changes, particularly over larger areas. However, little attention is given to how much area can change before a given land use/cover classification is detected using satellite data. This is an important consideration, particularly in the use of image classifications to assess best management practices (BMPs). To determine these changes, and their corresponding impacts on land cover classification, Landsat 8 data was acquired and an area selected where two land cover classes meet (i.e., forest and field). The Landsat pixels were subset into 900 one square meter (1 m2) pixels and the average pixel values for grass were utilized to simulate tree/forest removal. The objective is to determine how many pixels would be converted from forest to field before an unsupervised classification detected the change. Approximately 25 percent of the area changed before one Landsat pixel (30m) changed classes and 43 % of pixels changed before a row, representing a streamside management zone (SMZ), changed. This indicates that image resolution should be considered when using satellite imagery to assess BMPs/land cover changes.
Contemporary Journal Concept Press
2020-10-30 00:00:00
Peer-reviewed GIS Papers from Southern USA
application/pdf
http://mcfns.com/index.php/Journal/article/view/12.7
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 12, No 2: MCFNS October 30, 2020
eng
Louisiana
Copyright (c) 2020 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/308
2023-10-15T04:45:37Z
Journal:Modeling
nmb a2200000Iu 4500
"230430 2023 eng "
1946-7664
dc
Parameter Estimation And Data-Driven Method For Forest Fire Prediction
Li, X.
Tang, C.
Zhang, H.
Zhang, S.
Li, S.
Wang, Y.
Sun, S.
Liu, J.
Array
Improvement in the accuracy of the forest fire prediction model is essential to properly instructfirefighting forces. The input parameters of traditional prediction method cannot be adjusted in real-time,so the forecasting accuracy will decrease over time. To solve this problem, the forest fire predictionsystembased on parameter estimation and data-driven method is proposed in this paper. First, twodynamic parameters based on the empirical formula, rate of fire spread and main spreading direction,and multi-sensor data are input to a forward prediction model based on the Huygens principle togenerate the predicted fireline for the current time. Secondly, the difference between the predicted andobserved firelines is minimized by the Grey Wolf Optimization algorithm, which derives the optimaldynamic parameters.Finally, the optimal parameters and the current multi-sensor data are input into theprediction model to achieve accurate prediction of the fireline. The burn experiment was designed, andthe feasibilityof the systemwasverifiedbyreal fire data. The results indicate thata fire prediction systemthat quickly calibrates dynamic input parametersis developed and can achieve real-time accurate firepredictions.
Contemporary Journal Concept Press
2023-04-30 00:00:00
Peer-reviewed Modeling Papers
application/pdf
http://mcfns.com/index.php/Journal/article/view/15.2
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 15, No 1: MCFNS April 30, 2023
eng
Global
Contemporary
Copyright (c) 2023 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/8
2013-06-18T13:35:26Z
Journal:Sustain
nmb a2200000Iu 4500
"090202 2009 eng "
1946-7664
dc
A note on ‘A review of the status and use of validation procedures for heuristics used in forest planning'
Murray, Alan
The Arizona State University, USA http://geography.asu.edu/murray
Array
This paper provides a discussion on validation procedures associated with heuristic solution approaches used in forest planning, initiated by Bettinger et al. (2008) (Bettinger, Sessions and Boston, 2008. A review of the status and use of validation procedures for heuristics used in forest planning. MCFNS 1(1): 26-37). Three issues are addressed. MCFNS-1:38-40.
Contemporary Journal Concept Press
2009-02-28 00:00:00
Peer-reviewed Papers on Assessment and Flow Analysis
application/pdf
application/postscript
http://mcfns.com/index.php/Journal/article/view/MCFNS.1-38
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 1, No 1: MCFNS February 28, 2009
eng
International
Two decades
Published papers
Copyright (c)
oai:ojs.mcfns.com:article/68
2013-03-21T23:09:01Z
Journal:SSAFR
nmb a2200000Iu 4500
"100217 2010 eng "
1946-7664
dc
2009 Symposium on Systems Analysis in Forest Resources
McDill, Marc E
The Pennsylvania State University, USA http://www.personal.psu.edu/faculty/m/e/mem14/
Array
This is the Introduction to and an overview of the Special Section of papers from the 2009 Symposium on Systems Analysis in Forest Resources (SSAFR) held in Charleston, South Carolina on May 26--29, by the symposium organizer and the Guest Editor of this section. MCFNS 2(1):41-42.
Contemporary Journal Concept Press
2010-02-28 00:00:00
Peer-reviewed Papers on System Analysis
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS.2-41
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 2, No 1: MCFNS February 28, 2010
eng
Copyright (c)
oai:ojs.mcfns.com:article/95
2013-05-18T09:27:31Z
Journal:Letter
nmb a2200000Iu 4500
1946-7664
dc
FALSIFICATION AND CERTAINTY
Zeide, Boris
Professor Emeritus, University of Arkansas, USA http://www.afrc.uamont.edu/zeideb/index.htm
Array
Contemporary Journal Concept Press
2010-08-28 00:00:00
Unsolicited Commentaries
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS.2-163
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 2, No 2: MCFNS August 28, 2010
eng
Global
Contemporary
Analytical
Copyright (c)
oai:ojs.mcfns.com:article/116
2013-03-22T22:48:39Z
Journal:Sampling
nmb a2200000Iu 4500
"110805 2011 eng "
1946-7664
dc
Relative Efficiency of Point Sampling Change Estimators
Therien, Guillaume
Consultant, Quebec, Canada
Array
Concerns about the efficiency and the reliability of point sampling to estimate change in forest growth variables have been omnipresent ever since point sampling appeared in the literature some 60 years ago. Change estimators for point samples based on point-to-tree distance in variable-radius plots were introduced in 1981 but are rarely implemented despite easy access to point-to-tree distance. The statistical efficiency and bias of these estimators were compared to traditional fixed-area plot estimators using stem-mapped permanent sample plots. Methods using variable-radius plots and point-to-tree distance were more efficient to estimate volume and basal area while fixed-area plots were more efficient to estimate stems/ha. Compatible and time-additive estimators are proposed for estimating survivor, mortality, and ingrowth change using point samples. These estimators are unbiased under unrestrictive conditions.
Contemporary Journal Concept Press
2011-08-28 00:00:00
Peer-reviewed Experimental Design Works
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS.3-64
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 3, No 2: MCFNS August 28, 2011
eng
Copyright (c)
oai:ojs.mcfns.com:article/154
2021-04-14T18:20:09Z
Journal:MicroDetect
nmb a2200000Iu 4500
"130330 2013 eng "
1946-7664
dc
Micro-detail comparative forest site analysis using high-resolution satellite imagery
Cieszewski, Chris J
The University of Georgia, USA http://drcjc.com
Lowe, Roger C
The University of Georgia, USA
Bettinger, Pete
The University of Georgia, USA http://scholar.google.com/citations?hl=en&user=rvCOS60AAAAJ&pagesize=100&view_op=list_work
Kumar, Arun
The University of Georgia, USA
Array
This study presents comparative analysis of high-resolution satellite imagery taken on different dates around a detected incident of interest. Under an assumption of a micro-detail land monitoring and disturbance detection interests we compared the patterns of image captured disturbances on the analyzed site and leveraged their interpretation with knowledge base published on relevant subjects. The incident of interest was the Polish Air Force One TU-154M plane destruction on Apr. 10, 2010. We analyzed the image changes on micro-detail level tracked over time and considered with respect to the patterns of destruction and the plane debris size distribution in space against a broad engineering literature describing destruction patterns of thin walled structures, such as planes and cars. Then, we compared the spatial distribution of the debris between the pictures taken on different dates. Finally, we also considered on ground changes in soil moisture and landscape features between different images. The main conclusions from the study were that: (i) the pattern of the plane destruction debris and their spatial distribution found on the ground following the catastrophe was not consistent with expectations associated with a plane crash but rather was suggestive of a plane explosion; (ii) the scene and the plane debris were manipulated over time during the very initial period after the destruction; (iii) surprisingly the numerous heavy equipment vehicles present on the site , which were much larger than the image spatial resolution, were not recorded on any of the satellite images from Apr. 11, 12, or 14, 2010; (iv) the frequency of the high resolution satellite imagery captured around this airport on the dates of Apr. 5, 9, 11, 12, and 14, 2010, is intriguing given that the last captured image of this type prior to April 5, 2010, took place only in 2007; and (v) a large amount of snow-like high reflectivity coverage in the middle of the crash scene was followed by low reflectivity (suggestive of dry ground) areas following the crash despite generally swampy surroundings of the site and no reported explosion of the plane, which could imply a fast drying out of the melting snow large amounts of water.
Contemporary Journal Concept Press
2013-03-30 00:00:00
Peer-reviewed Multidisciplinary Works
application/pdf
http://mcfns.com/index.php/Journal/article/view/154
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 5, No 1: MCFNS March 30, 2013
eng
Smolensk, Russia
April 2010
High Resolution Satellite Images; photographs; journal publications;
Copyright (c)
oai:ojs.mcfns.com:article/179
2016-04-26T12:43:04Z
Journal:Sampling
nmb a2200000Iu 4500
"140930 2014 eng "
1946-7664
dc
A Test of the Mean Distance Method for Forest Regeneration Assessment
Unger, Daniel
Stephen F. Austin State University
Stovall, Jeremy
Stephen F. Austin State University
Oswald, Brian
Stephen F. Austin State University
Kulhavy, David
Stephen F. Austin State University
Hung, I-Kuai
Stephen F. Austin State University
Array
A new distance-based estimator for forest regeneration assessment, the mean distance method, was developed by combining ideas and techniques from the wandering quarter method, T-square sampling and the random pairs method. The performance of the mean distance method was compared to conventional 4.05 square meter plot sampling through simulation analysis on 405 square meter blocks of a field surveyed clumped distribution and a computer generated random distribution at different levels of density of 100, 50 and 25%. The mean distance method accurately estimated density on the random populations but the mean distance method estimates were more variable than those of 4.05 square meter plot sampling. The mean distance method overestimated actual density and was less precise than plot sampling when both methods were tested on the clumped populations. The optimum sample sizes needed for the mean distance method to achieve the same precision as 4.05 square meter plot sampling at all three density levels, for both the random and clumped spatial distributions, were at least 10 times larger than the sample size used for 4.05 square meter plot sampling.
Contemporary Journal Concept Press
2014-09-30 00:00:00
Peer-reviewed Experimental Design Works
application/pdf
text/x-tex
http://mcfns.com/index.php/Journal/article/view/6_54
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 6, No 2: MCFNS September 30, 2014
eng
anywhere
seedling stage
seedlings per acre/hectare
Copyright (c)
oai:ojs.mcfns.com:article/220
2021-04-14T18:16:54Z
Journal:SOFOR
nmb a2200000Iu 4500
"160930 2016 eng "
1946-7664
dc
A brief overview of the second Special Section of papers from the 10 th Southern Forestry and Natural Resource Management GIS Conference
Bettinger, Pete
University of Georgia
Merry, Krista
University of Georgia
Array
This is the second Special Section of papers from the 10 th Southern Forestry and Natural Resource Management GIS Conference. The conference was held in Athens, Georgia (USA) on December 7-8, 2015. In this Special Section resides the third manuscript that has passed the peer review process. We anticipate that future issues of Mathematical and Computational Forestry Natural-Resource Sciences may include other papers from the conference.
Contemporary Journal Concept Press
2016-09-30 00:00:00
Peer-reviewed GIS Papers from Southern USA
application/pdf
http://mcfns.com/index.php/Journal/article/view/8.3
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 8, No 2: MCFNS September 30, 2016
eng
North America
Contemporary
Copyright (c) 2016 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/240
2021-04-14T18:13:51Z
Journal:SOFOR
nmb a2200000Iu 4500
"180330 2018 eng "
1946-7664
dc
Object-based forest cover change mapping using remote sensing in Nuristan Province, Afghanistan -- Poster Summary
Popal, Shogufa
Laboratory of Global Forest Environmental Studies
Department of Global Agricultural Sciences
Graduate School of Agricultural and Life Sciences
The University of Tokyo
Array
Deforestation and forest degradation are among significant environmental issues in Afghanistan but has not been studied intensively due to insecurity, confined budget, lack of expertise, and limited accessibility to new technology. In such a situation, remote sensing technology offers practical and economical means to acquire reliable, consistent, and up-to-date information for assessing forest cover and monitoring its spatial and temporal dynamics, especially in areas where field data collection is nearly impossible. Therefore, this study aims to detect deforestation in six districts of Nuristan Province over the past three decades using object-based classification of Landsat imagery. The specific objectives to achieve the overall objective of this study are: (i) ascertaining the current status of the forest cover, (ii) mapping forest cover in 1998, 2008, and 2016, and (iii) detecting forest cover change between 1988-2008 and 2008-2016. Overall, this study can be utilized as a baseline data of forest cover and its spatial and temporal dynamics of Nuristan Province, where the effort was to exploit the potential of freely available, medium-resolution Landsat data series that might contribute in future forest management, restoration, and conservation at a local, provincial, and national level in Afghanistan.
This study utilized the Landsat satellite imageries acquired from United States Geological Survey (USGS) for the years 1998, 2008, and 2016 to produce a new set of land cover (1998, 2008 and 2016) and forest cover change (1998-2008 and 2008-2016) maps for the six districts of Nuristan Province based on the use of a consistent set of methods and datasets using TNTmips Pro 2016 and eCognition Developer 9.0 softwares. The land cover maps were used to depict the land cover areas and transitions within each year, whereas the forest cover change maps indicated the extent of forest loss (deforestation) and forest gain (forest recover) together with the land and forest cover dynamics between two successive years or time-series i.e. (1998 and 2008) and (2008 and 2016) using object-based classification approach. This combination was in order to estimate the forest loss and gains, produce accurate and stable classification results, and reduce the year-to-year inconsistencies through the use of adequate numbers of training sample data. Meanwhile, the current study attempted to characterize the forest cover mapping based on its types. Overall, the research methodology comprises of (i) preprocessing of Landsat images using TNTmips (ii) object-based image classification using eCognition Developer 9.0, (iii) mapping land and forest cover change, and (iv) quantifying land cover dynamics together with forest cover loss and gains. Altogether, 13 main classes were assigned in the land cover maps with the help of hyperspectral SPOT-7 images and Google and Bing maps, whereas 3 additional change classes were added in the forest cover change maps (i) forest loss, (ii) forest gain, and (iii) seasonal snow cover.
Overall, the time series land cover mapping (1998, 2008, 2016) revealed that the dense broad-leaved forests have decreased (164.89 km2) from 1998 until 2016, whereas the sparse broad-leaved forests increased gradually within the same time duration. The increase (134.95 km2) in sparse broad-leaved forests during the study period was primarily attributed to a shift from dense broad-leaved forests to sparse broad-leaved forests, which can be defined as “forest degradationâ€. Furthermore, between 1998 and 2008, a large area of sparse broad-leaved forests have also been degraded and converted to other vegetation class which is not considered as forest. On the other hand, the district-based forest comparisons showed that Nurgeram district contained the highest amount of the forests (48.9% in 1998, 43.92% in 2008, and 45.24% in 2016) whereas, Parun district contained the lowest coverage of the forests (12.25% in 1998, 9.86% in 2008, and 11.07% in 2016) within the study area.
In addition, the findings from the forest cover change maps revealed that deforestation did not occur in a large and alarming quantity (7.26 km2) in the study area from 1998 to 2016. The results showed that the forest loss was 5.92 km2 in 1998-2008 change map, whereas forest gain was only 0.31 km2. In contrast, forest loss was decreased (1.34 km2) in 2008-2016 change map with surprisingly increase in forest area (1.24 km2). Although deforestation has not occurred in a large scale, the results illustrated that the forests have been continuously degraded during the study period, converting from dense broad-leaved forest to sparse as well as sparse to other vegetation areas.
Overall, the performed accuracy assessments on the final land cover and forest cover change maps showed that the utility of high-resolution images for choosing a sufficient number of training samples in Landsat images resulted in relatively high overall accuracies ( 91 %). The maps indicated that most of the land cover classes have been better distinguished after applying the classification algorithms on the segmented images. However, some inconsistencies and misclassifications between the classes were encountered during data analysis, error matrices evaluation, and visual interpretation of the generated maps, where some are highlighted and exemplified as follows. Notably, the land cover and forest cover change maps failed to detect the settlement areas precisely ( 0.39 km2), which can be assumed due to the inadequate resolution of Landsat imagery in the identification of smaller areas, topographical features, and characteristics of the settlements. Moreover, some confusions were observed in the mixed forests with dense broad-leaved and coniferous forests, which were mainly assumed to be due to the dominance of coniferous or broad-leaved species within the mixed forests. Since a field survey was not implemented in this study, it is difficult to predict the main driving factors of forest degradation and deforestation in the area. Therefore, it is highly recommended that further research should be undertaken to analyze and explain the findings of this study in the context of underlying driving forces of change and assessing the impact on forest dynamics in Nuristan Province. Overall, such findings can be utilized to create a better understanding of forest conditions for the previous decades and provide sufficient and reliable information to decision makers and scientists to introduce sustainable management plans and implement concrete actions for forest restoration and conservation of natural forests at local, regional, and national levels.
Contemporary Journal Concept Press
2018-03-30 00:00:00
Peer-reviewed GIS Papers from Southern USA
application/pdf
http://mcfns.com/index.php/Journal/article/view/10.8
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 10, No 1: MCFNS March 30, 2018
eng
Afghanistan
Contemporary
Landsat Imagery;
Copyright (c) 2018 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/271
2023-10-20T02:46:50Z
Journal:Software
nmb a2200000Iu 4500
"200420 2020 eng "
1946-7664
dc
An Integrated System for Estimating Forest Basal Area from Spherical Images
Wang, Haozhou
University of New Brunswick
Kershaw, John A.
University of New Brunswick
Yang, Ting-Ru
University of New Brunswick
Hsu, Yung-Han
University of New Brunswick
Ma, Xu
University of New Brunswick
Chen, Yingbing
University of New Brunswick
Array
Basal area is one of the most important parameters in forest inventory, but data collection by traditional methods is often time consuming and labor intensive. This study uses a new, portable, and relatively inexpensive 360° spherical camera to estimate stand basal area and make permanent digital forest visual records. Forty-five plots in Newfoundland and eighty-three plots in New Brunswick were used to compare traditional field inventory with spherical photo inventory and to analyze potential factors impacting results. Results showed that 1) photo estimated basal area is similar to traditional methods measured by diameter tape and fixed-area plots or by angle gauge counting; 2) better accuracy and precision can be achieved when adding multiple digital sample locations to avoid effects of hidden trees caused by nearby trunks; 3) understory tree and shrub density did not significantly influence stem visibility; and 4) differences among different users were tested and shown to not be significant. An open-source software package was developed to make the implementation of our technique easy and efficient.
Contemporary Journal Concept Press
2020-03-30 00:00:00
Peer-reviewed Computational Works
application/pdf
http://mcfns.com/index.php/Journal/article/view/12.1
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 12, No 1: MCFNS March 30, 2020
eng
North-East America
2017
Copyright (c) 2020 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/303
2023-10-15T04:55:37Z
Journal:GIS%2BRS
nmb a2200000Iu 4500
"220430 2022 eng "
1946-7664
dc
Mission Impossible: Positions determined by basic mapping-grade and recreation-grade GNSS receivers cannot emulate the actual spatial pattern of trees
Lee, TaeYoon
University of Georgia http://orcid.org/0000-0001-5376-5638 http://orcid.org/0000-0001-5376-5638
Bettinger, Pete
University of Georgia
Merry, Krista
University of Georgia
Bektas, Volkan
University of Georgia
Cieszewski, Chris
University of Georgia
Array
Global navigation satellite systems (GNSS) can provide valuable spatial information for effectively mapping and navigating through forest conditions. The accuracy of GNSS receivers has been well-tested under many environmental conditions. Depending on the technology and conditions, different amounts of variation will occur in the determination of a horizontal position. However, studies involving the spatial pattern and distribution of tree locations observed by independent GNSS receivers generally have not considered the horizontal position error inherent in the spatial data. We conducted this study to investigate whether tree locations determined by GNSS receivers can adequately represent the real point pattern of trees in a forest. We tested three different GNSS receivers: one mapping-grade receiver and two recreation-grade receivers. We determined tree locations at cardinal points around the stems. We compared these observed tree locations to actual tree locations which were determined through precise field measurements. This study confirmed that the horizontal positional error of mapping grade receivers was significantly lower than those of recreation grade receivers, regardless of measurement method. However, the observed point pattern of trees from the GNSS observations by GNSS receivers failed to adequately represent the actual regular point pattern of the trees.
Contemporary Journal Concept Press
2022-04-30 00:00:00
Peer-reviewed Spatial Analysis Papers
application/pdf
http://mcfns.com/index.php/Journal/article/view/14.2
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 14, No 1: MCFNS April 30, 2022
eng
http://mcfns.com/index.php/Journal/article/download/303/1923
http://mcfns.com/index.php/Journal/article/download/303/1924
http://mcfns.com/index.php/Journal/article/download/303/1925
http://mcfns.com/index.php/Journal/article/download/303/1926
http://mcfns.com/index.php/Journal/article/download/303/1927
http://mcfns.com/index.php/Journal/article/download/303/1928
http://mcfns.com/index.php/Journal/article/download/303/1933
http://mcfns.com/index.php/Journal/article/download/303/1929
http://mcfns.com/index.php/Journal/article/download/303/1930
http://mcfns.com/index.php/Journal/article/download/303/1931
http://mcfns.com/index.php/Journal/article/download/303/1932
Georgia; seed orchard
leaf-off season
GNSS receiver Types
Copyright (c) 2022 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/47
2023-10-19T19:32:56Z
Journal:G%26Y%2BQS
nmb a2200000Iu 4500
"100115 2010 eng "
1946-7664
dc
Parallelization, Spatial Decomposition and Load Balancing of a Single Tree Level Forest Dynamics Simulator
Signell, Artur
Ã…bo Akademi University, Finland http://www.abo.fi/public/?setlanguage=en
Schöring, Johan
Ã…bo Akademi University, Finland http://www.abo.fi/public/?setlanguage=en
Aspnäs, Mats
Ã…bo Akademi University, Finland http://www.abo.fi/public/?setlanguage=en
Westerholm, Jan
Ã…bo Akademi University, Finland http://www.abo.fi/public/?setlanguage=en
Array
SPATE-HPC is a single tree level forest dynamics simulator capable of simulating very large forest areas. The size and shape of the simulation area as well as the number of trees are only restricted by the amount of memory available and subareas can be used for a tighter specification of the simulation.
In this article we describe the parallelization of SPATE-HPC and its major computational challenges. We describe the domain decomposition methods and the load balancing strategy we have used to ensure good performance and scalability of huge simulations. We also describe how we have verified the correctness of the parallel implementation. Additionally we present performance measurement results for the simulator by running a fixed 32,300 ha simulation on 32-2,048 processors and a simulation with 1,000 ha/core on 32-2,048 cores. The results show that it is possible to simulate a forest area of more than 1,000,000 ha with several billion trees. MCFNS 2(1):30-40.
Contemporary Journal Concept Press
2010-02-28 00:00:00
Peer-reviewed Papers on Growth and Mortality Dynamics
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS.2-30
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 2, No 1: MCFNS February 28, 2010
eng
http://mcfns.com/index.php/Journal/article/download/47/210
http://mcfns.com/index.php/Journal/article/download/47/222
http://mcfns.com/index.php/Journal/article/download/47/223
Independent of geographical location
Tree lifespan
Individual tree ; age ; species ; diameter ; height ; position
Copyright (c)
oai:ojs.mcfns.com:article/79
2011-05-01T22:33:36Z
Journal:Computing
nmb a2200000Iu 4500
"100810 2010 eng "
1946-7664
dc
The role of misclassification in estimating proportions and an estimator of misclassification
Zimmerman, Patrick L
USDA Forest Service, USA
Liknes, Greg C
USDA Forest Service, USA
Array
Dot grids are often used to estimate the proportion of land cover belonging to some class in an aerial photograph. Interpreter misclassification is an often-ignored source of error in dot-grid sampling that has the potential to significantly bias proportion estimates. For the case when the true class of items is unknown, we present a maximum-likelihood estimator of misclassification probability based on agreement between two interpreters. Two of the assumptions underlying the estimator are: (i) the probability that an interpreter makes a misclassification is constant, (ii) both interpreters have the same probability of misclassification. Simulation results suggest the estimator has acceptable performance when (ii) does not hold. This estimator can be used to investigate whether bias due to misclassification has exceeded a threshold, or to correct bias due misclassification. MCFNS 2(2):78-85.
Contemporary Journal Concept Press
2010-08-28 00:00:00
Peer-reviewed Simulations and Algorithms
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS.2-78
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 2, No 2: MCFNS August 28, 2010
eng
N/A
N/A
N/A
Copyright (c)
oai:ojs.mcfns.com:article/91
2013-03-22T22:18:55Z
Journal:DSTSFM
nmb a2200000Iu 4500
"110713 2011 eng "
1946-7664
dc
The Heureka Forestry Decision Support System: An Overview
Wikström, Peder
Swedish University of Agricultural Sciences, Umeå, Sweden
Edenius, Lars
Swedish University of Agricultural Sciences, Umeå, Sweden
Elfving, Björn
Swedish University of Agricultural Sciences,
Umeå, Sweden
Eriksson, Ljusk Ola
Swedish University of Agricultural Sciences, Umeå, Sweden
Lämås, Tomas
Swedish University of Agricultural Sciences,
Umeå, Sweden
Sonesson, Johan
Skogforsk
Uppsala, Sweden
Öhman, Karin
Swedish University of Agricultural Sciences,
Umeå, Sweden
Wallerman, Jörgen
Swedish University of Agricultural Sciences, Umeå, Sweden
Waller, Carina
Candeo Know IT
Umeå, Sweden
Klintebäck, Fredrik
Sogeti
Umeå, Sweden
Array
Mathematical programming and computers have been used for several decades to solve complex and long term forest management planning problems. The ever increasing demand on the forest ecosystem to produce wood and other goods and services poses a corresponding demand on a forest decision support system. As a response to meet new requirements the development of the Heureka system was initiated at SLU in 2002 and a first version of the system was released in 2009. Based on a common kernel, a number or applications of the system for different problem areas and users have been developed. The three main applications are made up by an interactive stand simulator, a tool for long term forest level planning containing an optimization module, and a simulator for regional analyses. The system contains models for growth projections, simulation of treatments, estimation of recreation values and carbon sequestration, and habitat suitability. It is also possible to make projections under different climate scenarios. In addition the system includes a number of supporting applications for importing data from different sources, for field inventory, and for comparing and ranking alternative management plans.
Contemporary Journal Concept Press
2011-08-28 00:00:00
Peer-reviewed DSS-Related Papers
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS.3-87
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 3, No 2: MCFNS August 28, 2011
eng
http://mcfns.com/index.php/Journal/article/download/91/408
http://mcfns.com/index.php/Journal/article/download/91/409
http://mcfns.com/index.php/Journal/article/download/91/410
http://mcfns.com/index.php/Journal/article/download/91/411
Boreal Forest, Scandinavia
Copyright (c)
oai:ojs.mcfns.com:article/143
2012-09-30T23:59:04Z
Journal:Sampling
nmb a2200000Iu 4500
"120930 2012 eng "
1946-7664
dc
Some Current Subsampling Techniques in Forestry
Iles, Kim
Kim Iles & Associates, Nanaimo, B.C., Canada http://www.island.net/~kiles/
Array
Because different tree parameters are of differing importance, and have different variability, efficiency in sampling would suggest that some of the principle variables be subsampled. One convenient way to do this is to sample different numbers of items at the same sample locations. This paper is a review of some current techniques in subsampling for measured values, especially with Variable Plot sampling, but including Fixed Plot and 3P sampling as well.
Contemporary Journal Concept Press
2012-09-30 00:00:00
Peer-reviewed Experimental Design Works
application/pdf
http://mcfns.com/index.php/Journal/article/view/143
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 4, No 2: MCFNS September 30, 2012
eng
World wide
Contemporary
Diameters, Heights, Basal Area, Volume
Copyright (c)
oai:ojs.mcfns.com:article/181
2021-04-14T18:19:23Z
Journal:Software
nmb a2200000Iu 4500
"140330 2014 eng "
1946-7664
dc
A generic approach to spatial individual-based modelling and simulation of plant communities
Garcia, Oscar
University of Northern British Columbia, Prince George, BC, Canada http://web.unbc.ca/~garcia/
Array
A general framework is proposed for the formulation and simulation of spatially explicit individual-based models of plant communities. A software implementation, siplab, was developed using the R statistical programming language. The scheme is a synthesis that encompasses many approaches from the literature, making possible to compare and combine their different components. Relationships between plant growth and various competition or assimilation indices are discussed, together with the choice of state variables and statistical issues in growth equations. Modelling is extended to deal with environmental heterogeneity, specified as a given resource distribution in the plane. Plants exert competitive pressure over resources at each point, represented by size- and distance-dependent functions that emulate or generalize similar concepts used in existing models. The partitioning of resources where these functions overlap is parametrized in a way that includes the one-sided fully asymmetric allocation of tessellation models, as well as a continuum of symmetric and asymmetric resource sharing alternatives. Finally, the plant resource uptake is integrated over space, with an optional size- and distance-dependent plant response or efficiency weighting. The framework and software permit conducting simulation studies where results are less dependent on any specific model structure.
Contemporary Journal Concept Press
2014-03-30 00:00:00
Peer-reviewed Computational Works
application/pdf
application/zip
http://mcfns.com/index.php/Journal/article/view/6_36
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 6, No 1: MCFNS March 30, 2014
eng
http://mcfns.com/index.php/Journal/article/download/181/1108
Temporal forests
Contemporary
Forest inventory data
Copyright (c)
oai:ojs.mcfns.com:article/209
2021-04-14T18:17:46Z
Journal:SOFOR
nmb a2200000Iu 4500
"160330 2016 eng "
1946-7664
dc
Automated Estimation of Forest Stand Age Using Vegetation Change Tracker and Machine Learning
Kauffman, Jobriath Scott
Center for Natural Resources Assessment and Decision Support
Virginia Tech http://cenrads.cnre.vt.edu/index.html
Prisley, Stephen P
Center for Natural Resources Assessment and Decision Support
Virginia Tech http://cenrads.cnre.vt.edu/index.html
Array
The ability to automatically delineate forest stands and determine their age is useful to natural resources professionals. Vegetation Change Tracker (VCT) is an algorithm that uses time series stacks of Landsat images to identify forest disturbances. However, additional computation is required to predict type of disturbance. This paper evaluates the usefulness of machine learning tools, such as support vector machine (SVM), for reclassifying VCT disturbances as stand clearing disturbances or partial disturbances. Overall accuracy for a 2010 VCT disturbance map of the entire state of Virginia was determined to be 87 percent. 100 percent of 2010 Virginia clearcut harvests recorded in a reference dataset were classified as disturbances by VCT. Neighboring disturbed pixels, as classified by VCT, were clumped together and reclassified as stand clearing disturbances or partial disturbances using SVM and variables for average disturbance magnitude and shape and size metrics of the clumped pixels, with an overall accuracy rate of 86 percent. The user’s and producer’s accuracy rates for stand clearing disturbances were 88 percent and 95 percent respectively. In addition, an algorithm was developed in R for determining years since last stand clearing disturbance for each pixel in a time series stack of reclassified VCT disturbance maps from 1984 to 2011. Neighboring pixels of the same age, in number of years since last stand clearing disturbance, were clumped together and correspond, in general, to clearcut harvest boundaries.
Contemporary Journal Concept Press
2016-03-30 00:00:00
Peer-reviewed GIS Papers from Southern USA
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS.8.4
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 8, No 1: MCFNS March 30, 2016
eng
Virginia
1984-2011
Harvest Year; Harvest Location
Copyright (c) 2016 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/215
2023-10-19T19:18:04Z
Journal:SOFOR
ec_fundedresources
nmb a2200000Iu 4500
"170930 2017 eng "
1946-7664
dc
Incorporating a local-statistics-based spatial weight matrix into a spatial regression model to predict the distribution of invasive Rosa multiflora in the Upper Midwest forestlands
Yu, Weiming
Auburn University
Fan, Zhaofei
Moser, W. Keith
Array
In this study, we extended the spatial weight matrix defined by Getis and Aldstadt (2004) to a more general case to predict the distribution of non-native invasive Rosa multiflora among the Upper Midwest counties in a spatial lag model (SLM) context. Both the simulation study and the application to invasive Rosa multiflora data collected in 2005-2006 proved that the modified spatial weight matrix outperforms its original case in diagnostic statistics and resultant invasion maps. The geographical distribution of invasive Rosa multiflora in the Upper Midwest was significantly associated with latitude; local clusters (a group of counties) of high presence/abundance of Rosa multiflora were significantly determined by TRPF (a ratio of road density to percentage of forest cover at the county level), a variable reflecting the intensity of human disturbance. As a conclusion, the SLM model incorporating the modified spatial weight matrix has potential applications in mapping spatial data with strong clustering patterns and estimating spatial autocorrelation structure and covariate effect in ecological studies.  Â
Â
Â
Contemporary Journal Concept Press
2017-09-30 00:00:00
Peer-reviewed GIS Papers from Southern USA
application/pdf
http://mcfns.com/index.php/Journal/article/view/9.7
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 9, No 2: MCFNS September 30, 2017
eng
7 Upper Midwest states
2005-2006
Invasive shrub; presence/absence; cover class
Copyright (c) 2017 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/269
2019-11-04T19:19:07Z
Journal:Bayesian
nmb a2200000Iu 4500
"191030 2019 eng "
1946-7664
dc
Quantification and Incorporation of Uncertainty in Forest Growth and Yield Projections Using A Bayesian Probabilistic Framework: A Demonstration for Plantation Coastal Douglas-fir in the Pacific Northwest, USA
Willson, Duncan
Monleon, Vicente
Weiskittel, Aaron
Array
A Bayesian probabilistic modeling platform was used and evaluated for application in a relatively complex individual-tree growth and yield model for coastal Douglas-fir (Pseudotsuga menziesii var. menziesii (Mirb.) Franco), which was expressed as a mixed discrete and continuous Bayesian Network for annual projections. The modeling platform used a common and open-source Bayesian analysis program (JAGS v3.3.0), and was sufficiently flexible to handle a relatively complex model structure; namely, a differential form, highly dynamic, recursive, hierarchical, non-linear system of equations with a rather complex error structure. This novel probabilistic modeling platform met certain desirable criteria, including (1) accurate and tractable projections that included full error propagation; (2) flexible and comprehensive analytic capabilities; (3) full consideration of hierarchical and multi-level model structures; (4) capacity for random effects calibration; (5) allowance of hypothesis testing and updating knowledge across different system components, simultaneously with different sources of information (i.e., new data); (6) computational efficiency; and (7) relatively simple implementation as demonstrated in a complied scripting language. Probabilistic projections of forest growth and yield included all sources of errors and uncertainty (e.g., estimated parameters, ...
Contemporary Journal Concept Press
2019-10-30 00:00:00
Peer-reviewed Bayesian Papers
application/pdf
application/pdf
application/pdf
application/pdf
http://mcfns.com/index.php/Journal/article/view/11.3
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 11, No 2: MCFNS October 30, 2019
eng
http://mcfns.com/index.php/Journal/article/download/269/1700
Oregon, Washington
Contemporary
coastal Douglas-fir,
Copyright (c) 2019 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/296
2021-12-09T02:55:17Z
Journal:Software
nmb a2200000Iu 4500
"211101 2021 eng "
1946-7664
dc
INGROWTH IMPUTATION IN EVEN-AGED PERMANENT SAMPLE PLOTS
Garcia, Oscar
Dasometrics, Concón, Chile http://dasometrics.net http://orcid.org/0000-0002-8995-1341
Array
In forest sample plots, it is common to measure only trees that are larger than some minimum size. This fact needs to be considered when using such truncated samples. I describe here a procedure for imputing the presence and sizes of the missing trees. Computer code is included.
Contemporary Journal Concept Press
2021-11-01 06:02:50
Peer-reviewed Computational Works
application/pdf
http://mcfns.com/index.php/Journal/article/view/13.5
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 13, No 2: MCFNS October 30, 2021
eng
Global
Contemporary
Diameters and other tree measurements.
Copyright (c) 2021 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/15
2023-10-20T02:47:08Z
Journal:Modeling
nmb a2200000Iu 4500
"090812 2009 eng "
1946-7664
dc
Modeling Caribbean Tree Stem Diameters from Tree Height and Crown Width Measurements
Brandeis, Thomas
USDA Forest Service, USA
Randolph, KaDonna C.
USDA Forest Service, USA
Strub, Mike
The University of Georgia, USA
Array
Regression models to predict diameter at breast height (DBH) as a function of tree height and maximum crown radius were developed for Caribbean forests based on data collected by the U.S. Forest Service in the Commonwealth of Puerto Rico and Territory of the U.S. Virgin Islands. The model predicting DBH from tree height fit reasonably well (R2 = 0.7110), with strongest in subtropical moist and wet forest. The model predicting DBH from crown radius fit the data poorly (R2 = 0.2876), but improvements were made when the model was fit by forest life zone and crown radius measurement protocol. Models fit with both maximum crown radius and tree height had R-square values that ranged from 0.1803 for the subtropical dry forest to 0.8018 for the subtropical moist forest life zone where crown radius was measured with urban forest inventory protocols. Tree heights had stronger correlations with DBH than did crown radius, perhaps due to difficulties in measuring tree crown width or natural variability in this hurricane-disturbed environment. Models that use tree height have some potential for predicting DBH for use in Caribbean forest biomass and carbon estimation models, but the potential for error propagation by using DBH predicted from crown radius is too great to earn our recommendation for such applications. MCFNS 1(2):78-85. Â
Contemporary Journal Concept Press
2009-08-28 00:00:00
Peer-reviewed Modeling Papers
application/pdf
application/postscript
http://mcfns.com/index.php/Journal/article/view/MCFNS.1-78
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 1, No 2: MCFNS August 28, 2009
eng
Puerto Rico; U.S. Virgin Islands
Second Growth;
Crown Width; Height; Diameter
Copyright (c)
oai:ojs.mcfns.com:article/74
2011-04-16T22:05:24Z
Journal:Review
nmb a2200000Iu 4500
"100228 2010 eng "
1946-7664
dc
Review of: Nearest Neighbor Bias -- A simple example
Czaplewski, Raymond
USDA Forest Service, USA
Array
Contemporary Journal Concept Press
2010-02-28 00:00:00
Invited Commentaries
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS.2-66
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 2, No 1: MCFNS February 28, 2010
eng
Independent of space
Indendent of time.
Simulated conceptual sudo data
Copyright (c)
oai:ojs.mcfns.com:article/103
2023-10-19T13:43:15Z
Journal:GIS%2BRS
nmb a2200000Iu 4500
"110228 2011 eng "
1946-7664
dc
Kriging with External Drift in Model Localization
Räty, Minna
Dpt of Forest Sciences, University of Helsinki, Finland
Heikkinen, Juha
The Finnish Forest Research Institute, Vantaa, Finland
Kangas, Annika
Dpt of Forest Sciences, University of Helsinki, Finland
Array
When a large-area model is utilized in smaller sub-areas, the results may be biased, even though the model is unbiased in general. One method for adjusting the large-area models for such bias is kriging, in which the predictions are corrected with the help of neighbouring observations. A variogram represents the spatial correlation between neighbouring observations as a function of distance. With the selected variogram and drift model that describes the general mean, the variable values for given objects are then predicted. The aim of this study was (1) to test for a spatial correlation in the residuals of a global form height model fitted over a large study area and (2) to use this correlation in prediction of the same variable. The dataset consisted of 19 175 Scots pines (Pinus sylvestris L.) from the 9th National Forest Inventory of Finland. Nested spherical and Bessel variograms were selected for the kriging calculations. In nested models the short-range intrastand correlation and long-range correlation are modelled separately. We used 10-fold cross-validation to evaluate the variogram models selected. We limited the number of neighbours from 20 to 100, i.e. at distances within an 8-17-km radius. At the global level, 30 neighbours were needed for stable estimates, and with 60 neighbours the RMSEs of kriging were lower than the globally fitted model. At the regional level, we obtained better estimates than with regionally re-fitted models when the number of neighbours was 60 for both variogram models. The biases at the regional level in the kriging were small (0.8% of the regional RMSE). In conclusion, there was an app. 6-km spatial correlation in the residuals, but the size of the kriging neighbourhood required for improving prediction was larger than the range. MCFNS 3(1):1-14.
Contemporary Journal Concept Press
2011-02-28 00:00:00
Peer-reviewed Spatial Analysis Papers
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS.3-1
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 3, No 1: MCFNS February 28, 2011
eng
http://mcfns.com/index.php/Journal/article/download/103/521
http://mcfns.com/index.php/Journal/article/download/103/522
http://mcfns.com/index.php/Journal/article/download/103/523
http://mcfns.com/index.php/Journal/article/download/103/524
http://mcfns.com/index.php/Journal/article/download/103/525
http://mcfns.com/index.php/Journal/article/download/103/574
Southern Finland
One inventory round; 1996-2003
Volume; Form height
Copyright (c)
oai:ojs.mcfns.com:article/133
2012-09-19T23:09:45Z
Journal:OBT
nmb a2200000Iu 4500
"120228 2012 eng "
1946-7664
dc
In Memory of René Marek Cieszewski
Cieszewski, Chris J
The University of Georgia, USA http://growthandyield.com/cieszewski/
Array
Contemporary Journal Concept Press
2012-02-28 00:00:00
Annoncement of passing away
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS.4%3A1
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 4, No 1: MCFNS February 28, 2012
eng
Copyright (c)
oai:ojs.mcfns.com:article/163
2013-10-01T10:22:41Z
Journal:Sampling
nmb a2200000Iu 4500
"130930 2013 eng "
1946-7664
dc
Comparing spatial and non-spatial approaches for predicting forest soil organic carbon at unsampled locations
Clough, Brian J
Rutgers University
Green, Edwin J
Rutgers University
Array
Prediction of soil organic carbon (SOC) at unsampled locations is central to statistical modeling of regional SOC stocks. This is often accomplished by applying geostatistical techniques to plot inventory data. However, in many cases inventory data is sparsely sampled ( 0.1 plots/km^2) relative to the region of interest, and it is unknown if geostatistics provides any advantage. Our objective was to test whether modeling spatial autocorrelation, in multivariate and univariate predictive models, improved estimates of SOC at prediction locations based on sparsely-sampled inventory data. We conducted our study using a dataset sampled across all forested land in the Coastal Plain physiographic province of New Jersey, USA. We considered five models for predicting SOC, two linear regression models (intercept only and multiple regression with predictor variables), ordinary kriging (a univariate spatial approach), and two multivariate spatial methods (regression kriging and co-kriging). We conducted a simulation study in which we compared the predictive performance (in terms of root mean squared error) of all five models. Our results suggest that our sparsely-sampled SOC data exhibits no spatial structure (Moran’s I=0.05, p=0.39), though several of the covariates are spatially autocorrelated. Multiple linear regression had the best performance in the simulation study, while co-kriging performed the worst. Our results suggest that when inventory data is dispersed across the region of interest, modeling spatial autocorrelation does not provide significant advantage for predicting SOC at unsampled locations. However, it is unknown whether this autocorrelation does not exist at broad scales, or if sparse sampling strategies are unable to detect it. We conclude that in these situations, multiple regression provides a straightforward alternative to predicting SOC for mapping studies, but that more work on the spatial structure of soil carbon across multiple scales is needed.
Contemporary Journal Concept Press
2013-09-30 00:00:00
Peer-reviewed Experimental Design Works
application/pdf
text/x-tex
http://mcfns.com/index.php/Journal/article/view/MCFNS_163
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 5, No 2: MCFNS September 30, 2013
eng
http://mcfns.com/index.php/Journal/article/download/163/1052
http://mcfns.com/index.php/Journal/article/download/163/1053
http://mcfns.com/index.php/Journal/article/download/163/1056
Coastal Plain; New Jersey
Year
forest soil samples; remote sensing data
Copyright (c)
oai:ojs.mcfns.com:article/204
2021-04-14T18:18:31Z
Journal:GIS%2BRS
nmb a2200000Iu 4500
"150930 2015 eng "
1946-7664
dc
Evaluation of alternative methods for using LiDAR to predict aboveground biomass in mixed species and structurally complex forests in northeastern North America
Hayashi, Rei
University of Maine, School of Forest Resources, Orono, ME 04469 USA http://forest.umaine.edu/
Kershaw, John A
University of New Brunswick, Faculty of Forestry and Environmental Management, Fredericton, NB Canada E3B 5A3 http://www.unb.ca/fredericton/forestry/index.html
Weiskittel, Aaron
University of Maine, School of Forest Resources, Orono, ME 04469 USA http://forest.umaine.edu/
Array
Light detection and ranging (LiDAR) has become a common means for predicting key forest structural attributes, but comparisons of alternative statistical methods and the spatial extent of LiDAR metrics extraction on independent datasets have been minimal. The primary objective of this study was to assess the performance of local and non-local LiDAR aboveground biomass (AGB) prediction models at two locations in the Acadian Forest. Two common statistical techniques, nonlinear mixed effects (NLME) and random forest (RF), were used to fit the prediction models and compared. Finally, this study evaluated the influence of alternative plot radii for LiDAR metrics extraction on model fit and prediction accuracy. AGB models were independently developed at each forest and tested both locally (model applied to same forest used for development) and non-locally (model applied to different forest) using an extensive network of ground-based plots. In general, RF was found to outperform NLME when applied locally, but the differences between the approaches were negligible when applied to the non-local dataset. NLME was found to perform equally well locally and non-locally. LiDAR extraction radius had very little influence on model performance as well. Minimal differences between models developed using fixed- and variable-radius methods were found, while the optimal LiDAR extraction radius was not consistent among forests, statistical technique, or local vs. non-local. Overall, the results highlight the importance of a robust calibration dataset that covers the full range of observed variation for developing accurate prediction models based on remote sensing data.
Contemporary Journal Concept Press
2015-09-30 00:00:00
Peer-reviewed Spatial Analysis Papers
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS7.2_2
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 7, No 2: MCFNS September 30, 2015
eng
http://mcfns.com/index.php/Journal/article/download/204/1250
http://mcfns.com/index.php/Journal/article/download/204/1256
Northeastern North America
Mixed Species and Structurally Complex Forests
Basal Area; Height; Canopy Surface Height
Copyright (c) 2015 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/226
2021-04-14T18:16:26Z
Journal:GIS%2BRS
nmb a2200000Iu 4500
"170330 2017 eng "
1946-7664
dc
Effects of forest thinning on static horizontal positions collected with a mapping-grade GNSS receiver
Akbulut, Ramazan
University of Georgia
Ucar, Zennure
University of Georgia
Bettinger, Pete
University of Georgia http://www.forestry.uga.edu/warnell_bios/app/Public/ViewBio/2
Merry, Krista
University of Georgia
Obata, Shingo
University of Georgia
Array
The static horizontal position accuracy of a mapping-grade GPS receiver was tested in two different pine forest conditions (pre-thinning and post-thinning). The main objective of this study was to describe the horizontal position error that might be observed shortly before and shortly after the thinning operation. In general, by using the Trimble Juno T41 series receiver, we found the static horizontal position error prior to the thinning operation averaged 4.14 m when each individual point was assumed to be as a sample. If the northing and easting values of each epoch were averaged, the error would be 1.57 m. According to the most immediate post-thinning measurements, the horizontal position error averaged 2.32 m for individual samples, and 1.02 m when the northing and easting values were averaged. Subsequent post-thinning measurements showed further improvements in static horizontal position accuracy. The findings suggested that the magnitude of horizontal position error decreased after the thinning operation. Therefore, the quality of the data and the density of the trees around the data collection area are dependent.
Contemporary Journal Concept Press
2017-03-30 00:00:00
Peer-reviewed Spatial Analysis Papers
application/pdf
http://mcfns.com/index.php/Journal/article/view/9.2
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 9, No 1: MCFNS March 30, 2017
eng
Piedmont
2016
Static horiztonal positions
Copyright (c) 2017 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/254
2023-10-19T13:09:22Z
Journal:NREcon
nmb a2200000Iu 4500
"181030 2018 eng "
1946-7664
dc
THE ROLE OF THE U.S. MAYORS AND URBAN FORESTS IN ADDRESSING CLIMATE CHANGE MITIGATION AND ADAPTATION
Tran, Yenie L.
Siry, Jacek P.
University of Georgia
Bowker, J. M.
USDA Forest Service
Poudyal, Neelam C.
University of Tennessee
Array
Leadership at cities and municipalities can be instrumental in beginning local conversation regarding climate change and urban forest policies. Much research has been devoted to national climate change actions, but research focusing on reducing human vulnerabilities to climate change is lacking. This study presents results of a survey of U.S. Conference of Mayors Climate protection Agreement (MCPA) members, representing 1,054 cities and 93.6 million people, conducted to improve the understanding of how mayors view urban forest policies related to climate change. The goals of the study were to examine local government initiatives for climate change and urban forests and how mayors prioritize these investments. The results indicated that a variety of local climate change mitigation and adaptation actions were being pursued by member MCPA cities. This is important as the international climate change policy rarely acknowledges the role of cities tackling climate change adaptation, although they are vulnerable settlements and at the same time important emitters.
Contemporary Journal Concept Press
2018-10-30 00:00:00
Peer-reviewed Economics and Policy Works
application/pdf
http://mcfns.com/index.php/Journal/article/view/10.10
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 10, No 2: MCFNS October 30, 2018
eng
http://mcfns.com/index.php/Journal/article/download/254/1615
United States
Copyright (c) 2018 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/284
2023-10-19T13:09:01Z
Journal:Modeling
nmb a2200000Iu 4500
"201030 2020 eng "
1946-7664
dc
Optimizing the Rothermel model for easily Predicting spread rate of forest fire
Hua, Jun
College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, China
Zhang, Shiyu
College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, China
Gao, Hewei
College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, China
Chen, Xiandong
College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, China
Li, Xingdong
College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, China
Northern Forest Fire Management Key Laboratory of the State Forestry and Grassland Bureau
Liu, Jiuqing
College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, China
Array
Rothermel model is a common method for predicting forest fire spread rate, but Its application is limited, due to complexity of the formula and too many parameters. In this paper, the Rothermel model is optimized to a simple format, which contains 4 independent variables as input, 1 dependent variable as output and 8 parameters to be estimated. In order to validate the effectiveness of the optimized model, the indoor ignition experiment is designed and carried out, and then the fire spreading data is collected and processed in advance for training the parameters of the model. By analyzing the effectiveness of 3 nonlinear optimizing methods , the Levenberg-Marquardt(LM) method is chosen to estimated the parameters of the model. At last, by comparing to the actual measured value, precision of the optimized model is validated on the verification data, and with the ability to predict the speed of fire spreading in the indoor laboratory.
Contemporary Journal Concept Press
2020-10-30 00:00:00
Peer-reviewed Modeling Papers
application/pdf
http://mcfns.com/index.php/Journal/article/view/12.5
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 12, No 2: MCFNS October 30, 2020
eng
Copyright (c) 2020 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/309
2023-10-15T04:45:37Z
Journal:Modeling
nmb a2200000Iu 4500
"230430 2023 eng "
1946-7664
dc
Solutions to the Base-Age Variant Models
Cieszewski, Chris J
Mathematical and Computational Forestry & Natural-Resource Sciences http://mcfns.com/index.php
Array
Self-referencing models predict the value of Y at age t as a function of both t and a snapshot
observation of Y = Y 0 at t = t 0 , which implicitly integrates the entire environment affecting the development
of Y . Common examples of such models are site-dependent height over age models, or site index models,
hereafter referred to as site models. These models are often developed using pooled cross-sectional and
longitudinal data and describe families of multiple curve shapes.
It is advantageous to formulate these models as algebraic difference equations, which can be referred to as
“dynamic equations,” with their reference variables describing the environment or site quality. For example,
in height modeling, site models predict height as a function of age and a height at a base-age known as the
site index.
The base-age specific modeling ideology suggests that curves generated by these models are unique to a
particular selection of base-age, at which the input data or site index is defined during the estimation
of model parameters. Base-age variant models are designed to capture some of the patterns of curves
corresponding to different base-ages through a single formula. The curves generated by this approach vary
with base-ages and with various methods in which the models can be applied.
However, the available base-age variant models have been limited in their usage to avoid inconsistent
predictions and cannot be considered equations in the algebraic sense since they can show that 1 = 0. To
address this issue, I present a mathematical approach that leads to the derivation of a new type of proper
base-age invariant equations, which can be applied in various alternative ways for the same purpose as the
base-age variant models, but without creating mathematical inconsistencies.
Contemporary Journal Concept Press
2023-04-30 00:00:00
Peer-reviewed Modeling Papers
application/pdf
http://mcfns.com/index.php/Journal/article/view/15.3
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 15, No 1: MCFNS April 30, 2023
eng
Global
Contemporary
Age; diameter; height; volume.
Copyright (c) 2023 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/7
2011-05-01T23:01:31Z
Journal:Sampling
nmb a2200000Iu 4500
"090202 2009 eng "
1946-7664
dc
“Total-Balancing†an inventory: A method for unbiased inventories using highly biased non-sample data at variable scales
Iles, Kim
Kim Iles & Associates, Nanaimo, B.C., Canada http://www.island.net/~kiles/
Array
The described here method can provide unbiased estimates and sampling errors with increasingly precise polygon information from non-sample sources that are often free and readily available. It is extremely flexible, and it appears to be in line with the main trend of modern sampling you first estimate using any information available, and then you sample to adjust those estimates. At later dates, further readjustment can be done at will, as long as the total is maintained. The situation with forest inventory is very similar to mapmaking. For many years the only acceptable method of improving a map was to start over with a fresh sheet of paper and do the entire job again with great fidelity to current map accuracy standards. Those days are over. The same is true of forest inventory. A better concept is let s just change the parts that are not good enough . The other parts change so little as not to be noticed. Stratified cruises with standard descriptions for multiple stands and repeating the process every 20 years while ignoring the existing inventory are old and outdated processes. In an age where information pours down upon us from every direction, it is time we started to use it effectively. It is so easy to insure statistical unbiasedness, good polygon estimates, and valid sampling errors by the progress described here that it is hard to imagine why anyone would strike the old forest inventory off the records and independently do it again from a standing start. MCFNS-1:10-13.
Contemporary Journal Concept Press
2009-02-28 00:00:00
Peer-reviewed Experimental Design Works
application/pdf
application/postscript
http://mcfns.com/index.php/Journal/article/view/MCFNS.1-10
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 1, No 1: MCFNS February 28, 2009
eng
Worldwide, landscape,
Contemporary
height, diameter, volume, density, volume, basal area,
Copyright (c)
oai:ojs.mcfns.com:article/63
2013-03-21T22:40:36Z
Journal:Sampling
nmb a2200000Iu 4500
"100218 2010 eng "
1946-7664
dc
Nearest Neighbor Bias -- A simple example
Iles, Kim
Kim Iles & Associates, Nanaimo, B.C., Canada http://www.island.net/~kiles/
Array
This is a short research note with an illustrative example describing the bias inherent in the nearest neighbor method. MCFNS 2(1):18-19.
Contemporary Journal Concept Press
2010-02-28 00:00:00
Peer-reviewed Experimental Design Works
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS.2-18
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 2, No 1: MCFNS February 28, 2010
eng
Independent of space
Indendent of time.
Simulated conceptual sudo data
Copyright (c)
oai:ojs.mcfns.com:article/45
2011-04-16T22:55:51Z
Journal:SSAFR
nmb a2200000Iu 4500
"100821 2010 eng "
1946-7664
dc
A Hierarchical Timber Allocation Model to Analyze Sustainable Forest Management Decisions
Marinescu, Marian V.
The University of Florida, USA
Maness, Thomas C
The University of British Columbia, Canada
Array
A two-level Hierarchical Timber Allocation model was developed that iteratively negotiates medium-term (sustainable forest management) decisions with operational (lumber production) plans. At the medium-term level, a multi-criteria timber allocation model optimally allocates forest land units, called stewardship units, to different forest products companies based on five sustainability criteria: profit, employment, wildlife habitat, recreation, and visual quality. At the operational level, a sawmilling model maximizes the profits resulting from optimally converting the timber allocated by the medium-term level into lumber products. An iterative algorithm was developed in which the decisions generated by the two hierarchical levels reach a mutually beneficial solution. The model was demonstrated in two cases and conclusions were presented about future development. MCFNS 2(2):117-134.
Contemporary Journal Concept Press
2010-08-28 00:00:00
Peer-reviewed Papers on System Analysis
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS.2-117
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 2, No 2: MCFNS August 28, 2010
eng
Province of British Columbia, Canada
Copyright (c)
oai:ojs.mcfns.com:article/119
2013-03-22T22:21:59Z
Journal:DSTSFM
nmb a2200000Iu 4500
"110828 2011 eng "
1946-7664
dc
The Conclusion of Perspectives on New Developments of Decision Support Systems for Sustainable Forest Management
Cieszewski, Chris J
The University of Georgia, USA http://drcjc.com
Bettinger, Pete
The University of Georgia, USA http://www.warnell.uga.edu/Members/bettinger
Falcão, André
The University of Lisboa Bloco, Lisboa, Portugal
Array
This short discussion of two publications on Decision Support Tools for Sustainable Forest Management concludes the series of this journal's Special Sections on this theme resulting from the 2010 Workshop on Decision Support Systems in Sustainable Forest Management held in Lisbon, Portugal, on April 19-21, 2010. While the current section doesn't exhaust all the collection of the papers that were selected through collaboration between the conference organizers, its participants, and the MCFNS editorial team, it contains the two last papers from that series that passed the peer review process within a one year period (one journal volume timeframe) and were published as a collection of papers under a common banner. Thus, the papers contained here conclude this series of Special Sections on the subject, and any other submission from that same conference that may pass the peer-review process in the future will be published as general submissions.
Contemporary Journal Concept Press
2011-08-28 00:00:00
Peer-reviewed DSS-Related Papers
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS.3-73
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 3, No 2: MCFNS August 28, 2011
eng
Sweden, Applicable worldwide
Modern
Forest and stand parameters, Inventory, Economic Values
Copyright (c)
oai:ojs.mcfns.com:article/164
2023-10-19T15:42:10Z
Journal:MicroDetect
nmb a2200000Iu 4500
"130330 2013 eng "
1946-7664
dc
Micro-detail detections and their seemingly unrelated scientific inquiries
Green, Edwin J
Rutgers University http://deathstar.rutgers.edu/people/egreen/egreen.html
Array
This is an introduction of the initial publication of the new Special Section of the MCFNS journal on micro-detail detection and tracking problems and various related interdisciplinary studies in other disciplines, which are deemed to be synergistic or relevant to detection and tracking problems.  The initial selection of publications presented here arose from the Smolensk Conference held on Oct. 22, 2012, in Warsaw, Poland. This Special Section originated out of a collaboration between the MCFNS editors and the organizers of the Smolensk Conference, but the submissions of the presented here manuscripts was independent from this organization; all authors submitted their manuscripts independently of each other. This issue contains four of the papers presented at the conference. In what follows, I briefly review the background behind the creation of this Special Section series and introduce the papers contained herein.
Contemporary Journal Concept Press
2013-03-30 00:00:00
Peer-reviewed Multidisciplinary Works
application/pdf
http://mcfns.com/index.php/Journal/article/view/164
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 5, No 1: MCFNS March 30, 2013
eng
http://mcfns.com/index.php/Journal/article/download/164/928
http://mcfns.com/index.php/Journal/article/download/164/929
http://mcfns.com/index.php/Journal/article/download/164/932
Smolensk, Russia; worldwide applicable;
April 2010; contemporary;
Available documentations and review of sample studies
Copyright (c)
oai:ojs.mcfns.com:article/89
2023-10-20T02:45:03Z
Journal:DSTSFM
nmb a2200000Iu 4500
"140930 2014 eng "
1946-7664
dc
From WIS.2 to Smart Forest – a sustainable forest management decision support system
Rosset, Christian
Bern University of Applied Sciences, Swiss College of Agriculture, Switzerland https://www.hafl.bfh.ch/en/home.html
Schütz, Jean-Philippe
former ETH-Zürich, Brüggliäcker 37, 8050 Zürich, Switzerland
Günter, Mark
Bern University of Applied Sciences, Swiss College of Agriculture, Switzerland https://www.hafl.bfh.ch/en/home.html
Gollut, Clotilde
Bern University of Applied Sciences, Swiss College of Agriculture, Switzerland https://www.hafl.bfh.ch/en/home.html
Array
WIS.2 is a DSS for monitoring and implementing the goal-oriented and sustainable management
of forest ecosystems, especially with regard to the integral management of signicant spatial and
temporal scales in forest ecosystems. WIS.2 considers multiple ecosystem goods and services in silvicultural
management and the implementation of silvicultural interventions, which are in accordance with the
Swiss silvicultural tradition. WIS.2 takes a top-down approach, starting with the entrepreneurial strategy,
and ending at short and mid-term interventions at stand level. WIS.2 structures the overall decision process
across multiple scales and provides decision support for each decision to be taken by organizing and
connecting available data and models.
WIS.2 is based on MS Access and ArcGIS View and is composed of dierent applications, each handling a
main aspect of the management of forest ecosystems. The tool is used at the level of higher education in
forest management in Switzerland. WIS.2, initially developed during 2001-2005 within the framework of a
PhD thesis at the ETH in Zurich (\Author" 2005a), has been successively improved through practical use
in more than 10 case studies in ve Swiss Cantons. The main challenge is now to advance from a prototype
to an easily available consolidated IT product.
Contemporary Journal Concept Press
2014-09-30 00:00:00
Peer-reviewed DSS-Related Papers
application/pdf
text/x-tex
http://mcfns.com/index.php/Journal/article/view/6_89
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 6, No 2: MCFNS September 30, 2014
eng
http://mcfns.com/index.php/Journal/article/download/89/398
http://mcfns.com/index.php/Journal/article/download/89/399
http://mcfns.com/index.php/Journal/article/download/89/400
http://mcfns.com/index.php/Journal/article/download/89/401
http://mcfns.com/index.php/Journal/article/download/89/402
http://mcfns.com/index.php/Journal/article/download/89/403
http://mcfns.com/index.php/Journal/article/download/89/404
Copyright (c)
oai:ojs.mcfns.com:article/213
2021-04-14T18:16:54Z
Journal:Software
nmb a2200000Iu 4500
"160930 2016 eng "
1946-7664
dc
Spatiotemporal Data Modelling for Chinese Forest Geo-Entity Sub-compartment
Xia, Kai
Array
Sub-compartment, the most significant type of forest geo-entity, is the basic unit of forest management in China. Apart from having a certain shape, the sub-compartment has social attributes, such as ownership, as well as natural attributes, such as tree species, stand volume, and average diameter at breast height (DBH). The evolution of the sub-compartment is a spatiotemporal process that involves gradual and abrupt changes. A forest resource spatiotemporal data model is designed based on a spatiotemporal expression method named sequence states which could express the spatiotemporal evolution process that involves gradual and abrupt changes. The example shows that when the data from the entire region or from a few sub-compartments are updated, all of them can be stored and related well in the database constructed based on our model. Not only the history of a sub-compartment but also its ancestor sub-compartments can be retrieved and displayed on the client window. The controls, space-time cube and history tree, are designed to visualize the evolution of sub-compartments.
Contemporary Journal Concept Press
2016-09-30 00:00:00
Peer-reviewed Computational Works
application/pdf
http://mcfns.com/index.php/Journal/article/view/8.0
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 8, No 2: MCFNS September 30, 2016
eng
Copyright (c) 2016 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/235
2021-04-14T18:13:51Z
Journal:SOFOR
nmb a2200000Iu 4500
"180330 2018 eng "
1946-7664
dc
An assessment of invasive plants on Shorter University’s campus
Anderson, Madelyn
Department of Forestry, Mississippi State University
Box 9680, Mississippi State, MS 39762
Crosby, Michael K.
School or Agricultural Sciences and Forestry, Louisiana Tech University
P.O. Box 10138, Ruston, LA 71272
Array
Invasive plant species have various negative impacts on the ecosystems they invade. Studies have shown that invasive species decrease species diversity, cause economic loss, and reduce forest health and productivity. A study was designed to determine the presence of invasive plant species on Shorter University’s campus in Rome, GA, using 50 (1 m x 1 m) randomly allocated plots. From the initial assessment, it was determined that invasive plants are most prevalent along the forest edge, extending into the forest. Therefore, a forest edge study, consisting of 25 (1 m x 1 m) plots, was developed to assess the effects of invasive plants within the forest edge. Plants were identified to the species level and percent cover was estimated for the plots. Simpson’s Diversity Index was calculated to assess plant diversity in the forest edge. The study indicated that as the percent cover of invasive plants increased, so did the diversity of the plot. While native plant species diversity did decline, overall diversity increased because of the high density of invasive plants in the forest edge. The invasive plant species identified in this study included, Chinese privet (Ligustrum sinense), tree of heaven (Ailanthus altissima), English ivy (Hedera helix), wisteria (Wisteria sinensis), Asiatic Jasmine (Trachelospermum asiaticum), nandina (Nandina domestica), mimosa (Albizia julibrissin), lespedeza (Lespedeza cuneate), and kudzu (Pueraria montana). These invasive species will continue to degrade the ecosystem through their rapid spread, necessitating the need to develop strategies for effective management on Shorter University’s campus.
Contemporary Journal Concept Press
2018-03-30 00:00:00
Peer-reviewed GIS Papers from Southern USA
application/pdf
http://mcfns.com/index.php/Journal/article/view/10.6
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 10, No 1: MCFNS March 30, 2018
eng
Southern United States
21st century
Presence of invasive species on sample plots
Copyright (c) 2018 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/264
2023-10-20T02:45:49Z
Journal:Modeling
nmb a2200000Iu 4500
"200420 2020 eng "
1946-7664
dc
CROWN ASYMMETRY AND NICHE SEGREGATION AS AN ADAPTATION OF TREES TO COMPETITION FOR LIGHT: CONCLUSIONS FROM SIMULATION EXPERIMENTS IN MIXED BOREAL STANDS
Shanin, Vladimir
Institute of Physicochemical and Biological Problems in Soil Science of the Russian Academy of Sciences http://orcid.org/0000-0002-8294-7796
Grabarnik, Pavel
Shashkov, Maxim
Ivanova, Natalya
Bykhovets, Sergey
Frolov, Pavel
Stamenov, Miroslav
Array
Most models of forest communities cannot represent the asymmetry of crowns resulting from inter-tree competition. However, this is important for the accurate simulation of mixed and uneven-aged forest stands. In the paper we propose a new model, which is individual-based and spatially-explicit, i.e., taking into account the relative positions and properties of all competing trees in a forest stand. The model uses species-specific coefficients, thus it allows to take into account the different strategies of competition for light. The model operates with the 3D-representation of tree crowns and light transmission through the canopy, with discrete spatial and temporal resolution. It thus enables to represent the asymmetry of the crown shape and biomass distribution in response to the local surrounding of a given tree. In order to estimate the performance of the model in the simulation of aboveground competition, a set of simulation scenarios, representing stands of different spatial structures, ages, and species compositions, was used. Simulations showed the positive effect of species mixture on crown size and light interception efficiency, as well as species- and age-related dependencies of these parameters. Differences in the spatial structure mostly affected the light transmission pattern at the stand level. The importance of crown asymmetry in the increase in light interception efficiency was also shown. Thus, the proposed model allows simulating light absorption by the canopy with a high spatial resolution, using relatively few parameters. The model imitates a mechanism allowing trees to decrease the aboveground competition in forest stands and it also is applicable for simulating aboveground competition in mixed uneven-aged stands.
Contemporary Journal Concept Press
2020-03-30 00:00:00
Peer-reviewed Modeling Papers
application/pdf
http://mcfns.com/index.php/Journal/article/view/12.3
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 12, No 1: MCFNS March 30, 2020
eng
Boreal Forests, Europe
Year
Species, Individual Trees
Copyright (c) 2020 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/278
2023-10-20T02:46:20Z
Journal:GIS%2BRS
nmb a2200000Iu 4500
"220430 2022 eng "
1946-7664
dc
Mapping natural forest stands with low cost drones
Williams, Thomas
Clemson University
Williams, Brian
Clemson University
Song, Bo
Clemson University
Forsythe, Jeremy
Clemson University
O'Halloran, Thomas L
Clemson University
Array
We used a low cost hobby drone to produce high resolution aerial photographs of a 12 ha mature longleaf pine (Pinus palustris) stand. The photos were combined into orthophoto mosaics and digital surface models to produce repeatable crown maps. Repeated flights allowed the use of tree phenology to separate longleaf from loblolly (Pinus taeda) and pond (Pinus serotina) pines, as well some hardwood species. Aerial crown maps and field measured stems did not produce 1:1 correspondence. However, average stems and crown area/basal area ratio of 15 m radius plots produced correlation coefficients comparable to open single tree measures. Height of tallest trees also was relatively well correlated for larger longleaf trees but had a positive bias greater than 1 m. The most difficult problems were determining the number of stems associated with a mapped crown area and determining a correction for the true ellipsoid height of the camera.
Contemporary Journal Concept Press
2022-04-30 00:00:00
Peer-reviewed Spatial Analysis Papers
application/pdf
http://mcfns.com/index.php/Journal/article/view/14.3
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 14, No 1: MCFNS April 30, 2022
eng
http://mcfns.com/index.php/Journal/article/download/278/0
Coastal Plain South Carolina
2019
Longleaf pine 80 yr old
Copyright (c) 2022 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/48
2011-05-01T22:42:46Z
Journal:G%26Y%2BQS
nmb a2200000Iu 4500
"100116 2010 eng "
1946-7664
dc
A Management Model for Persian Oak -- A Model for Management of Mixed Coppice Stands of Semiarid Forests of Persian Oak
Salehi, Ali
Swedish University of Agricultural Sciences, Umeå, Sweden
Eriksson, Ljusk Ola
Swedish University of Agricultural Sciences, Umeå, Sweden http://www.srh.slu.se/default.cfm
Array
This study aims to present a diameter class model to predict the effects of different forest management practices on growth and yield conditions of the mixed coppice stands of Persian oak (Quercus persica) in the semiarid forests in southern Zagros, Iran. Using inventory data in 2003, the model was applied to make management recommendations for a forested watershed. Some requested data for the model were extracted from available information on an adjacent forested area. The model was analyzed under a set of different management strategies considering uneven-aged forest management. Linear programming was used to solve the problems. The model yields results of importance for policy development. For instance, the present prohibition of harvests could be counterproductive as some 10--20 times more volume can be extracted when harvests are allowed. In addition, the effect of improved protection of natural regeneration from grazing seems only to be justified if it is combined with harvesting trees. These conclusions should however be considered with great caution as the calculated model parameters hinge on a number of critical assumptions. Sensitivity analyses with the model could show what parameters are critical and therefore motivate research with permanent field trials. MCFNS 2(1):20-29.
Contemporary Journal Concept Press
2010-02-28 00:00:00
Peer-reviewed Papers on Growth and Mortality Dynamics
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS.2-20
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 2, No 1: MCFNS February 28, 2010
eng
http://mcfns.com/index.php/Journal/article/download/48/219
Semi arid; Iran
Copyright (c)
oai:ojs.mcfns.com:article/80
2013-03-21T22:47:53Z
Journal:SOFOR
nmb a2200000Iu 4500
"100810 2010 eng "
1946-7664
dc
The 2009 Southern Forestry and Natural Resources GIS Conference
Bettinger, Pete
The University of Georgia, USA
Hubbard, William G
Southern Region Extension Forestry, Georgia, USA
Array
Â
This is the introduction to, and overview of, the Special Section of papers from the 2009 Southern Forestry and Natural Resources GIS Conference (SOFOR GIS). The conference was held for the seventh time in Athens, Georgia, on December 7-9, 2009. MCFNS 2(2):135-137.
Â
Contemporary Journal Concept Press
2010-08-28 00:00:00
Peer-reviewed GIS Papers from Southern USA
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS.2-135
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 2, No 2: MCFNS August 28, 2010
eng
Southern United States
Year
Copyright (c)
oai:ojs.mcfns.com:article/104
2011-08-29T10:26:06Z
Journal:GIS%2BRS
nmb a2200000Iu 4500
"110713 2011 eng "
1946-7664
dc
Measurement differences resulting from analyzing natural resource spatial databases referenced to multiple map coordinate systems
Wing, Michael G.
The Oregon State University, USA
Array
Map projection on-the-fly capability allows natural resource GIS analysts to geoprocess spatial data layers referenced to different map coordinate systems. This study's primary objective was to provide examples of spatial measurement differences that can result when point, line, and polygon natural resource spatial databases are referenced to different map coordinate systems and are used for a set of typical spatial analysis tasks. The GIS software used for evaluations was part of the ArcGIS product suite.
We performed three separate spatial analyses: the intersection of spatial line features to polygons, the identity of polygons with other polygons, and a spatial join analysis that involved several components. Four separate spatial databases representing gauges, streams, watershed boundaries, and forest ownerships were each referenced to four different map coordinate system settings. An initial assessment of distances, areas, and categories of features resulting from geoprocessing tasks involved only spatial databases referenced to the same map coordinate system. The measurement and categorical results of this initial assessment became comparative benchmarks. Subsequent analyses involved the same geoprocessing tasks but mixed databases referenced to different map coordinate systems. We found differences from the benchmark values in many of the comparisons between databases of different map coordinate systems.
There were relatively small measurement differences in the amount of line lengths measured within specific polygons resulting from overlay intersections between databases in different map coordinate systems. The identity of polygons with other polygons resulted in large area differences in some cases from initial baseline measurements, particularly when datums were substantially different (NAD 27 and WGS 84). Distance differences were greatest for the spatial joining of points to other point and line features when involving databases referenced to map coordinate systems with substantially different datums. Results indicate that GIS analysts using ArcGIS analysis tools should be cautious when analyzing spatial databases referenced to different map coordinate systems.
Contemporary Journal Concept Press
2011-08-28 00:00:00
Peer-reviewed Spatial Analysis Papers
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS.3-53
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 3, No 2: MCFNS August 28, 2011
eng
http://mcfns.com/index.php/Journal/article/download/104/529
Oregon
Gauges, Streams, Watersheds, Forest Ownership
Copyright (c)
oai:ojs.mcfns.com:article/142
2013-03-21T22:51:10Z
Journal:Modeling
nmb a2200000Iu 4500
"120930 2012 eng "
1946-7664
dc
Generalization of the Coefficient of Determination or R-square and its application to Self-Referencing Models
Strub, Mike
The University of Georgia, USA
Cieszewski, Chris J
The University of Georgia, USA http://drcjc.com
Array
The traditional coefficient of determination or R-square is the proportion of variation explained by a regression model versus the variation explained by the mean. This measure does not discriminate well between alternative self-referencing models such as site index curves. A generalized R-square based on the proportion of the variation explained by the self-referencing model versus the variation explained by a straight line through zero for each growth series provides better discrimination between candidate models. Three growth series from the South Africa Correlated Curve Trend Study are used to illustrate the difference between the traditional R-square and the generalized R-square.
Contemporary Journal Concept Press
2012-09-30 00:00:00
Peer-reviewed Modeling Papers
application/pdf
http://mcfns.com/index.php/Journal/article/view/142
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 4, No 2: MCFNS September 30, 2012
eng
Wordwide
Contemporary
Site-Height-Age data from South Africa
Copyright (c)
oai:ojs.mcfns.com:article/178
2016-04-26T12:43:04Z
Journal:OR%2BDSS
nmb a2200000Iu 4500
"140930 2014 eng "
1946-7664
dc
Off road transportation cost calculations for ground based forest harvesting systems
Søvde, Nils Egil
The Norwegian Forest and Landscape Institute
Array
Ground based systems are the main approach used for off-road timber transportation throughout the world. Estimates of terrain transportation costs are required for several forest planning problems and for assessment of harvesting contracts and forest land values. Methods for these calculations can be categorized into two groups. Methods based on average transportation distance predate computers, are analytical, and based on manual calculations. Network methods are based on a digital raster representation and are solved with numerical computations. Here, the two categories are compared and linked. Analytical methods in the literature have been limited to flat terrain and including detail is difficult. The network method can be extended to include uneven terrain or detailed input data.
Contemporary Journal Concept Press
2014-09-30 00:00:00
Peer-reviewed Optimization Papers
application/pdf
text/x-tex
http://mcfns.com/index.php/Journal/article/view/6_48
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 6, No 2: MCFNS September 30, 2014
eng
World
Copyright (c)
oai:ojs.mcfns.com:article/186
2021-04-14T18:17:46Z
Journal:G%26Y%2BQS
nmb a2200000Iu 4500
"160330 2016 eng "
1946-7664
dc
A stand growth and yield model for northern reforested stands of Mexico
Navar, J.
WATER CENTRE FOR LATIN AMERICA & CARIBBEAN COUNTRIES. INSTITUTO TECNOLOGICO DE ESTUDIOS SUPERIORES DE MONTERREY. http://www.biowebspin.com/wp-content/uploads/2015/04/Short-CV-Navar-J-English-09-03-20151.pdf
Dominguez-Calleros, P. A.
Universidad Juarez del Estado de Durango, Durango, Dgo., Mexico. http://www.ujed.mx
Rodriguez-Flores, F. J.
Universidad Politecnica de Durango, Durango, Dgo., Mexico. http://www.unipolidgo.edu.mx/sitio/
Lizarraga-Mendiola, L.
Universidad Autónoma del Estado de Hidalgo, Pachuca, Hidalgo, Mexico. http://www.uaeh.edu.mx/
de Hoogh, R.
Saltillo, Coahuila, Mexico.
Synnott, T. J.
The International Agricultural Center, Wageningen, Netherlands. http://www.wageningenur.nl/
Array
The aim of this research was to develop a growth and yield model to predict the basal area and timber volume of reforested stands in degraded, arid, semi-arid and dry-temperate lands of northern Mexico. In total, 124 forest stands (chronosequences) were sampled for allometric features (basal and breast height diameter, canopy height and canopy cover); data from 75% of the stands were used for model fitting and data from the remaining 25% of the stands were used to validate the model. The potential timber volume and basal area growth were determined for each reforested species. The growth rates of reforested native coniferous species in the states of Durango (P. durangensis Martinez, P. cooperi C.E. Blanco, and P. engelmannii Carrière) and Nuevo Leon (P. pseudostrobus Lindl.) were higher than those of pine species not native to south Central Durango (P. arizonica Engelmann), eastern Nuevo Leon (P. cembroides Zucc., P. pinceana Gordon, and P. nelsonii Shaw) and Coahuila (P. halepensis Mill.). Because forest stands are often reforested at high seedling densities, the productivity is higher than that of pre-existing native forests communities. Therefore, this practice is recommended in order to increase timber stocks and the productivity of Mexico’s degraded temperate and semi-arid forests.
Contemporary Journal Concept Press
2016-03-30 00:00:00
Peer-reviewed Papers on Growth and Mortality Dynamics
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS.8.25
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 8, No 1: MCFNS March 30, 2016
eng
UPLAND TEMPERATE AND SEMI-ARID REFORESTATIONS OF NORTHERN MEXICO
2002-2004
STAND AGES FROM 5 TO 50 YEARS
Copyright (c) 2016
oai:ojs.mcfns.com:article/231
2021-04-14T18:14:47Z
Journal:Data
nmb a2200000Iu 4500
"170930 2017 eng "
1946-7664
dc
Photogrammetric point cloud trees
Fang, Rong
College of Forestry, Oregon State University, Corvallis, OR, USA http://mars.forestry.oregonstate.edu/
Strimbu, Bogdan
College of Forestry, Oregon State University, Corvallis, OR, USA http://mars.forestry.oregonstate.edu/
Array
This note describes the point clouds representing the stem of three loblolly pines (Pinus taeda Lindl.) from west-central Louisiana reconstructed with terrestrial photogrammetry. After capturing the images needed for the 3D rendering, we cut the trees down and measured their diameters at breast height and at every meter along the stem starting at 1 m above the ground. The diameters measured in the field were stored as ASCII files. The reconstructed models reached over 50% of the relative height – the proportion of the stem on which the majority of the merchantable volume is located. For each tree, two files were produced, a point cloud and a mesh data, to represent the 3D stem and some branches. The point cloud was stored in the LAS format and the mesh in the DXF format. Diameter at breast height was marked on all trees by red rings. The files describing the three trees provide a calibrated dataset that can be used for development of taper models, testing and calibration of segmentation algorithms, and identification of products that can be obtained from a stem.
Contemporary Journal Concept Press
2017-09-30 00:00:00
Peer-reviewed Data Publication
application/pdf
http://mcfns.com/index.php/Journal/article/view/9.8
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 9, No 2: MCFNS September 30, 2017
eng
North America
Contemporary
Tree diameters, heights, distances
Copyright (c) 2017 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/234
2019-11-04T19:19:07Z
Journal:Sampling
nmb a2200000Iu 4500
"191030 2019 eng "
1946-7664
dc
Optimisation of tetrazolium concentration and immersion time in the viability test of Swietenia macrophylla seeds by using Response Surface Methodology
GarcÃa Quintana, Yudel
Universidad Estatal Amazónica
Abreu Naranjo, Reinier
Universidad Estatal Amazónica
Arteaga Crespo, Yasiel
Universidad Estatal Amazónica (UEA)
Reyes Morán, Héctor
Universidad Estatal Amazónica (UEA)
Array
The aim of this study was to optimise tetrazolium concentration and immersion time in the viability test of S. macrophylla seeds by using Response Surface Methodology (RSM). For this, a RSM Central Composite Design (CCD), type 23 was applied. The quantification of viable and non-viable seed germs was performed using the interpretation of topological patterns. The viability of the seed expressed as a percentage was selected as a response variable whilst the tetrazolium concentration and immersion time were independent factors. The quadratic polynomial model of the four evaluated aspects was best adjusted with 0.99 and 0.93 for the coefficients R2 and Predicted-R2, respectively. Using ANOVA, it was demonstrated that only immersion had a significant effect. The optimisation study showed that it is possible to achieve values of viability above 90% at low tetrazolium concentrations (0.05%) using immersion times between 75 and 90 minutes.
Contemporary Journal Concept Press
2019-10-30 00:00:00
Peer-reviewed Experimental Design Works
application/pdf
http://mcfns.com/index.php/Journal/article/view/11.2
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 11, No 2: MCFNS October 30, 2019
eng
Pastaza
2017
seed viability
Copyright (c) 2019 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/290
2023-10-19T16:11:22Z
Journal:Sampling
nmb a2200000Iu 4500
"211101 2021 eng "
1946-7664
dc
ALTERNATE RANKED SET SAMPLING FOR SKEWED AND MOUND SHAPED SYMMETRIC DISTRIBUTIONS: ACCOUNTING FOR FORESTRY AND ENVIRONMENTAL RESEARCH
Nautiyal, Raman
Tiwari, Neeraj
Chandra, Girish
Indian Council of Forestry Research and Education
Kershaw, Jr., John A.
Shaktan, Trishla
Array
Ranked Set Sampling (RSS) is a sampling strategy which is advantageous when measurement of sampling units is very difficult but when small sets of units can be ranked according to other methods that do not require actual measurements. The units corresponding to each rank are used in RSS and RSS performs better than simple random sampling (SRS) when estimating the population mean of forestry or environmental parameters (say, below ground biomass). A new RSS procedure based on alternate order statistics for estimating the population mean (ARSS) is suggested in this paper. ARSS measures only the first, third, fifth and so on units so that the information on remaining order statistics is captured from their respective neighboring order statistics. The bias correction term in the proposed estimator is included and calculated for some skewed and symmetric (both mound and U shaped) distributions. The estimators under ARSS are then compared to the estimators based on balanced RSS and Neyman’s optimal unbalanced RSS allocations. Based on the computed Relative Precisions, estimators based on ARSS are recommended for even set sizes of skewed distributions and odd set sizes of mound shaped symmetric distributions. RPs of these distributions are uniformly better than the other two methods (balanced and Neyman’s RSS). To demonstrate the performance of the different estimators, an example from forestry that estimates total biomass of three tree species is presented. The proposed method is efficient in forestry and environmental applications.
Contemporary Journal Concept Press
2021-11-01 06:02:50
Peer-reviewed Experimental Design Works
application/pdf
http://mcfns.com/index.php/Journal/article/view/13.7
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 13, No 2: MCFNS October 30, 2021
eng
western Himalaya
NA
NA
Copyright (c) 2021 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/17
2023-10-19T13:36:49Z
Journal:Software
nmb a2200000Iu 4500
"090828 2009 eng "
1946-7664
dc
Trends in spatial forest planning
Shan, Yong
The University of Georgia, USA
Bettinger, Pete
The University of Georgia, USA http://www.warnell.uga.edu/Members/bettinger
Cieszewski, Chris J
The University of Georgia, USA http://drcjc.com
Li, Rongxia Tiffany
University of Maine, USA
Array
Both mathematical and heuristic methods have advanced rapidly in spatial forest planning over the past 20 years. We conduct here a world-wide literature review and extensive analysis of the status and trends over the past two decades in spatial forest planning. The literature review results suggest that methods used in forest planning have shifted somewhat from exact analytical solution techniques to heuristic techniques. In an effort to incorporate complex relationship into forest plans, other solution methods have also been evaluated for adoption in the planning process. Besides the economic and commodity production objectives, there is a noticeable increase in the proportion of ecological and social concerns in objective functions. In Europe, multi-parameter objective functions now seem to be in vogue, containing little or no constraints. In the U.S., single-parameter objective functions are still common, with multiple concerns recognized as constraints. In addition to the economic and commodity production constraints, adjacency and green-up relationships have recently been considered as important constraints in many areas of the world. Vector data are found to be more popular than raster data in the forest planning process, particularly in real-life applications of methods. In theoretical applications of methods, both vector and raster data are commonly used. Limitations in mixed integer programming, heuristic parameter selection processes, modification and enhancements to heuristics, and measurements of heuristic solution quality are some of the gaps we have identified. MCFNS 1(2):86-112.
Contemporary Journal Concept Press
2009-08-28 00:00:00
Peer-reviewed Computational Works
application/pdf
application/postscript
application/x-tex
http://mcfns.com/index.php/Journal/article/view/MCFNS.1-86
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 1, No 2: MCFNS August 28, 2009
eng
http://mcfns.com/index.php/Journal/article/download/17/86
http://mcfns.com/index.php/Journal/article/download/17/87
http://mcfns.com/index.php/Journal/article/download/17/88
http://mcfns.com/index.php/Journal/article/download/17/89
http://mcfns.com/index.php/Journal/article/download/17/90
http://mcfns.com/index.php/Journal/article/download/17/91
http://mcfns.com/index.php/Journal/article/download/17/92
Worldwide
Last two decades
Age
Copyright (c)
oai:ojs.mcfns.com:article/50
2011-04-16T22:58:42Z
Journal:SOFOR
nmb a2200000Iu 4500
"100809 2010 eng "
1946-7664
dc
One Year's Experience with a Recreation-Grade GPS Receiver
Bettinger, Pete
The University of Georgia, USA http://www.forestry.uga.edu/warnell_bios/app/Public/ViewBio/2
Fei, SongLin
University of Kentucky, USA
Array
Between September 2008 and September 2009, data were collected with a Garmin Oregon 300 recreation-grade GPS receiver nearly every day, under a variety of environmental conditions. Horizontal position locations were collected in a young pine stand, an older pine stand, and a hardwood stand, each located within the Whitehall Forest GPS Test Site in Athens, GA. The purpose of this study was to determine whether long-term data collected with a recreation-grade GPS receiver were sensitive to stand type, time of year, and a number of environmental variables. We found no significant relationship between observed horizontal positional accuracy and environmental variables (air temperature, relative humidity, atmospheric pressure, and solar wind speed). We found significant differences in horizontal position accuracy among the three forest types studied. MCFNS 2(2):153-160.
Contemporary Journal Concept Press
2010-08-28 00:00:00
Peer-reviewed GIS Papers from Southern USA
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS.2-153
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 2, No 2: MCFNS August 28, 2010
eng
Piedmont
Year
Error
Copyright (c)
oai:ojs.mcfns.com:article/92
2012-04-02T12:37:04Z
Journal:DSTSFM
nmb a2200000Iu 4500
"110228 2011 eng "
1946-7664
dc
Sustainable forestry decisions: on the interface between technology and participation
Lawrence, Anna
Forest Research,
Alice Holt Lodge, Farnham
Stewart, Amy
Forest Research, Northern Research Station, Midlothian, UK
Array
The complexity of forest management decisions has been increasing for the last two decades. These changes affect the type of decision support needed, the context and methods in which they are used, and the processes for developing them. In this paper we examine how these changes and challenges have been addressed in the literature around decision support for sustainable forest management (DSFM). The kinds of tools fall into two categories. Those which help to analyse stakeholder preferences and choose a management option, are relatively well developed and have been tested in a few locations. Those tools which model forest management and provide the options on which such choices are based, on the other hand, seem to be more isolated from the social context. Most of the scientific literature on forest decision-making tools does not offer any analysis of the social and institutional processes of designing, testing or using such tools. We highlight the potential for studies of the social and institutional context, processes and impacts of DSS use, in overcoming some of the gaps between science and practice in forest management. MCFNS 3(1):42-52.
Contemporary Journal Concept Press
2011-02-28 00:00:00
Peer-reviewed DSS-Related Papers
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS.3-42
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 3, No 1: MCFNS February 28, 2011
eng
global
Copyright (c)
oai:ojs.mcfns.com:article/109
2013-03-21T23:01:29Z
Journal:GIS%2BRS
nmb a2200000Iu 4500
"120228 2012 eng "
1946-7664
dc
Comparing K Nearest Neighbours Methods and Linear Regression – Is There Reason To Select One Over the Other?
Haara, Arto
Dpt of Forest Sciences, University of Helsinki, Finland http://www.metla.fi/pp/4275/index-en.htm
Kangas, Annika
Dpt of Forest Sciences, University of Helsinki, Finland http://www.mv.helsinki.fi/home/askangas/
Array
Non-parametric k nearest neighbours (k-nn) techniques are increasingly used in forestry problems, especially in remote sensing. Parametric regression analysis has the advantage of well-known statistical theory behind it, whereas the statistical properties of k-nn are less studied. In this study, we compared the relative performance of k-nn and linear regression in an experiment. We examined the effect of three different properties of the data and problem: 1) the effect of increasing non-linearity, 2) the effect of balance of the modelling and test data and 3) the effect of the correct assumptions of the model form. In order to be able to determine the effect of these three aspects, we used simulated data and simple modelling problems. K-nn and linear regression gave fairly similar results with respect to the average RMSEs. In both cases, balanced modelling dataset gave better results than unbalanced dataset. When the results were examined within diameter classes, the k-nn results were less biased than regression model results, especially with extreme values of diameter. The differences increased with increasing non-linearity of the model and increasing unbalance of the data. The difference between the methods was more obvious, when the assumed model form was not exactly correct. This result, however, requires that the modelling and test datasets have a similar distribution: if the distributions are different, regression model may be more robust than k-nn.
Keywords: modelling, regression, imputation, balance of data
Contemporary Journal Concept Press
2012-02-28 00:00:00
Peer-reviewed Spatial Analysis Papers
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS.4%3A50
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 4, No 1: MCFNS February 28, 2012
eng
http://mcfns.com/index.php/Journal/article/download/109/590
http://mcfns.com/index.php/Journal/article/download/109/591
http://mcfns.com/index.php/Journal/article/download/109/592
http://mcfns.com/index.php/Journal/article/download/109/593
http://mcfns.com/index.php/Journal/article/download/109/594
http://mcfns.com/index.php/Journal/article/download/109/595
http://mcfns.com/index.php/Journal/article/download/109/596
http://mcfns.com/index.php/Journal/article/download/109/597
http://mcfns.com/index.php/Journal/article/download/109/599
http://mcfns.com/index.php/Journal/article/download/109/600
Finland
Contemporary
Diameter at breast height; tree height; mean height; mean diameter; mortality
Copyright (c)
oai:ojs.mcfns.com:article/175
2013-10-01T10:22:41Z
Journal:Sampling
nmb a2200000Iu 4500
"130930 2013 eng "
1946-7664
dc
Trend analyses and projections using national forest inventory data
Liknes, Greg C
USDA Forest Service http://www.nrs.fs.fed.us/people/Liknes
Morin, Randall S
USDA Forest Service http://www.nrs.fs.fed.us/people/rsmorin
Canham, Charles D
Cary Institute of Ecosystem Studies http://www.caryinstitute.org/science-program/our-scientists/dr-charles-d-canham
Array
We present a collection of papers derived from the 2012 Forest Inventory and Analysis (FIA) Symposium held on December 4-6, 2012 in Baltimore, MD, USA. The symposium featured 128 oral presentations with nearly 200 attendees from the United States and other countries. A proceedings from the symposium included 75 papers as well as abstracts for all presentations and posters. The symposium theme, \textit{Moving from Status to Trends}, focused on the ability to perform trend or time series analysis using national forest inventory data. A wide range of topics were covered including forest products, social dimensions of forestry, landscape change, analytical tools, Landsat time series, forest carbon, and many others. Based on these presentations, we have assembled a selection of several papers that presented examples of trend analyses and projections using forest inventory data. This Special Issue contains four of these papers that passed the MCFNS double-blind peer-review by a minimum of three peers.
Contemporary Journal Concept Press
2013-09-30 00:00:00
Peer-reviewed Experimental Design Works
application/pdf
text/x-tex
http://mcfns.com/index.php/Journal/article/view/MCFNS_175
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 5, No 2: MCFNS September 30, 2013
eng
http://mcfns.com/index.php/Journal/article/download/175/1043
http://mcfns.com/index.php/Journal/article/download/175/1051
recent past, current, future
Copyright (c)
oai:ojs.mcfns.com:article/202
2021-04-14T18:18:31Z
Journal:Editorial
nmb a2200000Iu 4500
"150930 2015 eng "
1946-7664
dc
Evaluating traditional peer-review processes and their alternatives: An opinionated discussion
Weiskittel, Aaron
University of Maine, School of Forest Resources http://www.forest.umaine.edu/facstaff/facstaff_pages/Weiskittel/index.html
Array
The advancement of science requires the timely and effective communication of important findings, which often takes the form of peer-reviewed journal articles. In the past decade, there has been significant changes in the world of scientific publishing with the rise of e-journals, open-access articles, and a greater volume of manuscript submissions. However, the overwhelming majority of journals rely on a traditional peer-review model, which is often inefficient and ineffective. In this discussion, I evaluate the core assumptions of traditional peer-review processes, assess current alternatives to traditional peer-review, and provide recommendations for authors, reviewers, Associate Editors, and Editors. Overall, the intent of the discussion is to raise the importance of this issue and provide some suggestions for change.
Contemporary Journal Concept Press
2015-09-30 00:00:00
Peer-reviewed Opinionated Discussions
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS7.2_4
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 7, No 2: MCFNS September 30, 2015
eng
http://mcfns.com/index.php/Journal/article/download/202/1257
http://mcfns.com/index.php/Journal/article/download/202/1258
http://mcfns.com/index.php/Journal/article/download/202/1259
North America
Contemporary;
Publishing statistics
Copyright (c) 2015 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/206
2021-04-14T18:16:26Z
Journal:G%26Y%2BQS
nmb a2200000Iu 4500
"170330 2017 eng "
1946-7664
dc
Growth response of coastal Douglas-fir (Pseudotsuga menziesii [Mirbel] Franco) in western Oregon following mechanical commercial thinning damage
Kiser, Jim Donald
Oregon State University
Array
Growth responses of coastal Pacific Northwest Douglas-fir (Pseudotsuga menziesii [Mirbel] Franco) were quantified 14 years following mechanical damage from commercial thinning. Damaged and undamaged adjacent and non-adjacent trees were measured for total height, crown length, and diameter at breast height (DBH) to assess neighbor competitiveness between damaged and undamaged trees. Results indicated that mechanical damage had no significant effect between damaged and undammed trees relative to adjacent or non-adjacent trees on total tree height, height/diameter curves, basal area growth after thinning, height to crown base, or crown length. However, there was a significant difference in crown length between the damaged and adjacent trees. Trends in height to crown base over tree diameter curves were not significantly different between damaged and undamaged trees of either the adjacent (P = 0.90) or non-adjacent group (P = 0.76)
Contemporary Journal Concept Press
2017-03-30 00:00:00
Peer-reviewed Papers on Growth and Mortality Dynamics
application/pdf
http://mcfns.com/index.php/Journal/article/view/9.3
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 9, No 1: MCFNS March 30, 2017
eng
Western Oregon
Copyright (c) 2017 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/156
2021-04-14T18:12:51Z
Journal:Modeling
nmb a2200000Iu 4500
"181030 2018 eng "
1946-7664
dc
COMPARING PROPERTIES OF SELF-REFERENCING MODELS BASED ON NONLINEAR-FIXED-EFFECTS VERSUS NONLINEAR-MIXED-EFFECTS MODELING APPROACHES
Cieszewski, Chris J.
The University of Georgia, USA http://drcjc.com
Strub, Mike
Array
In this study, we compare the properties of self-referencing models, such as various site dependent growth and yield models for predictions of height, diameter, basal area, volume, and density, developed using Nonlinear-Fixed-Effects (NFE) versus Nonlinear-Mixed-Effects (NME) modeling approaches. The properties investigated include the following core traditional well-behaved model characteristics applicable to self-referencing functions: Base-Age-Invariance, Path-Invariance, Indifference Under Model Reparameterization, and Model Conditioning to have the predictions at the base-age equal to the reference point, as well as estimation and prediction statistics such as bias and variance of the fitted versus predicted residuals. The results of this investigation demonstrate that self-referencing models based on the NFE approach possess all the desirable properties associated with logical behavior of the model and estimation statistics, while the NME based self-referencing models lack the well-behaved model properties. We illustrate these properties using an example of fitting self-referencing models to panel data of loblolly pine age-height measurements on a range of sites from the South Africa Correlated Curve Trend Study.
Contemporary Journal Concept Press
2018-10-30 00:00:00
Peer-reviewed Modeling Papers
application/pdf
http://mcfns.com/index.php/Journal/article/view/10.11
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 10, No 2: MCFNS October 30, 2018
eng
Universal
Contemporary
Age, Height, Species, plantations
Copyright (c) 2018
oai:ojs.mcfns.com:article/288
2023-10-20T02:47:01Z
Journal:GIS%2BRS
nmb a2200000Iu 4500
"210330 2021 eng "
1946-7664
dc
ESTIMATING INDIVIDUAL TREE HEIGHTS AND DBHS FROM VERTICALLY DISPLACED SPHERICAL IMAGE PAIRS
Wang, Haozhou
University of New Brunswick http://orcid.org/0000-0001-6135-402X
Yang, Ting-Ru
University of New Brunswick
Waldy, Joni
University of New Brunswick
Kershaw Jr., John A
University of New Brunswick
Array
Individual tree parameters, such as diameter at breast height (DBH) and tree height, are fundamental measurements in forest inventory, and often labour intensive and require significant financial expenditures. Applying digital imaging in forest inventory is an efficient way to decrease the workload. In this study, spherical images taken using a novel commercial 360° camera (Ricoh Theta S) and stereographic geometry were applied to obtain these parameters directly without stitching multiple images from common cameras. This technology was validated in both a sparse urban forest (pairwise comparison) and denser real forest (distributional comparison) in Atlantic Canada. The DBH (r2 0.76) and height (Dmax 0.25, K-S test) showed high correspondence with field measures. The spherical camera represents a low-cost option to terrestrial laser scanning and has potential to produce more accurate forest-level estimates with quicker field and office processing time than current under-canopy remote sensing technologies.Â
Contemporary Journal Concept Press
2021-03-30 00:00:00
Peer-reviewed Spatial Analysis Papers
application/pdf
http://mcfns.com/index.php/Journal/article/view/13.1
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 13, No 1: MCFNS March 30, 2021
eng
http://mcfns.com/index.php/Journal/article/download/288/1862
Atlantic Canada
2017
Traits
Copyright (c) 2021 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/310
2023-11-21T05:50:50Z
Journal:G%26Y%2BQS
nmb a2200000Iu 4500
"231030 2023 eng "
1946-7664
dc
Using 3d Scanning Technique for Estimating Forest Standing Volume
Thinh, Nguyen Van
Silviculture Research Institute, Vietnamese Academy of Forest Sciences,
Hanoi, Vietnam http://orcid.org/0000-0003-3034-1183
Dong, Tran Lam
Vietnamese Academy of Forest Sciences,
Hanoi, Vietnam http://vafs.gov.vn/en/
Dung, Pham Tien
Silviculture Research Institute, Vietnamese Academy of Forest Sciences,
Hanoi, Vietnam http://www.sri.org.vn/home/index/en
Tuan, Nguyen Van
Silviculture Research Institute, Vietnamese Academy of Forest Sciences,
Hanoi, Vietnam http://www.sri.org.vn/home/index/en
Hieu, Doan Trung
Silviculture Research Institute, Vietnamese Academy of Forest Sciences,
Hanoi, Vietnam http://www.sri.org.vn/home/index/en
Hoang, Nguyen Huy
Silviculture Research Institute, Vietnamese Academy of Forest Sciences,
Hanoi, Vietnam http://www.sri.org.vn/home/index/en
Cuong, Nguyen Viet
Silviculture Research Institute, Vietnamese Academy of Forest Sciences,
Hanoi, Vietnam http://www.sri.org.vn/home/index/en
Phuong, Nguyen Thi Thu
Silviculture Research Institute, Vietnamese Academy of Forest Sciences,
Hanoi, Vietnam http://www.sri.org.vn/home/index/en
Nguyen, Vo Dai
Silviculture Research Institute, Vietnamese Academy of Forest Sciences,
Hanoi, Vietnam http://www.sri.org.vn/home/index/en
Bich, Nguyen Van
Silviculture Research Institute, Vietnamese Academy of Forest Sciences,
Hanoi, Vietnam http://www.sri.org.vn/home/index/en
Array
The use of 3D (three-dimensional) scanning in calculating tree's volume is discussed and suitable equations are fitted for estimating stand volume based on stem diameter at breast height (DBH) and height in the form of power and logarithmic functions. One hundred eighty-four individuals of Hopea odorata, Dipterocarpus alatus and Afzelia xylocarpa were scanned. Then, 3D images were used to calculate an individual tree's volume, based on sectioning the main stem and branches by assuming the cylinder of each section. The results indicated that 3D image calculations underestimated volume by 2.1-4.8% compared to the water displacement method by testing spiral branches of 4.3-15.7 cm diameter. The logarithmic function is the best-fitted model for each species and the combination of three species. A. alatus, H. odorata and combination of three species require both DBH and height, while A. xylocarpa needs only DBH in volume estimation. All four best fitted equations have Adjusted R-Squared 0.88 and underestimate 0.9% 3D volume. The smallest underestimate of 0.02% 3D volume belongs to the best-fitted equation for combination of three species, indicating the potentiality of using a combination of three species equation for estimating the volume of all species, especially in natural forests. It is concluded the suitability of using the 3D scanning technique for calculating individual tree's volume with high accuracy and establishing volume equations for multiple species applications, especially in the tropical forest.
Contemporary Journal Concept Press
2023-11-21 05:50:13
Peer-reviewed Papers on Growth and Mortality Dynamics
application/pdf
http://mcfns.com/index.php/Journal/article/view/15.4
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 15, No 2: MCFNS October 30, 2023
eng
Asia
Contemporary
Volumes; diameters; heights;
Copyright (c) 2023 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/6
2013-06-18T13:35:58Z
Journal:Sustain
nmb a2200000Iu 4500
"090202 2009 eng "
1946-7664
dc
A review of the status and use of validation procedures for heuristics used in forest planning
Bettinger, Pete
The University of Georgia, USA http://www.warnell.uga.edu/Members/bettinger
Sessions, John
The Oregon State University, USA
Boston, Kevin
The Oregon State University, USA
Array
While there exist clear methods for validating and ensuring the quality of solutions generated by forest planning heuristic techniques, the use of these methods in the literature varies from one situation to the next. Based on our experience developing and using heuristic forest planning techniques, we describe six levels of heuristic validation that are currently in use, ranging from no validation (Level 1) on one end of the spectrum, to the comparison of heuristic technique solutions with an exact solution obtained using mathematical programming methods (Level 6) on the other end. The reasons why authors may choose or reviewers may require levels of validation are proposed. We do not believe that all research papers should be subjected to the highest level of validation, but suggest that authors of papers on forest planning techniques and reviewers associated with peer-reviewed journals try to place the level of validation within the larger scientific context, then determine an appropriate level of validation. Admittedly, this is problematic for review decisions, given the fact that reviewers may differ in opinion of what is appropriate. Four brief cases are provided to help one think through these issues. Ultimately, we hope that this discussion will lead to a reasoned approach for the use of validation processes in conjunction with the presentation of heuristic techniques, rather than the current ad-hoc process that, on one hand, relies on the valuable and careful thoughts of the reviewers, yet on the other hand, may be uneven in application. MCFNS-1:26-37.
Contemporary Journal Concept Press
2009-02-28 00:00:00
Peer-reviewed Papers on Assessment and Flow Analysis
application/pdf
application/postscript
http://mcfns.com/index.php/Journal/article/view/MCFNS.1-26
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 1, No 1: MCFNS February 28, 2009
eng
http://mcfns.com/index.php/Journal/article/download/6/17
International
Two decades
Published papers
Copyright (c)
oai:ojs.mcfns.com:article/67
2013-05-18T09:23:20Z
Journal:Modeling
nmb a2200000Iu 4500
"100218 2010 eng "
1946-7664
dc
Using strong inference to falsify differential equation models of sugar maple height growth---Discussion
Zeide, Boris
Professor Emeritus, University of Arkansas, USA http://www.afrc.uamont.edu/zeideb/index.htm
Array
Leary and Johannsen (2010; Leary and Johannsen. 2010. Using strong inference to falsify differential equation models of sugar maple height growth. MCFNS 2:1-11) envision growth modeling as a search for a single precise line like those depicting the laws of physics. However, it is unlikely that such a complex process as tree growth can be captured by our simple, usually empirical models. Instead of carrying out the experiment so as to get a clean result, it may be more realistic to start with enclosing the field of growth trajectories between two boundary lines representing the two opposite explanations of a studied relationship. Understanding complex process is more likely by combining opposites rather than falsifying one of them. Then, the modules delineating the boundaries can be joint in a single model that describes a more complex and fluid central tendency. MCFNS 2(1):12-14.
Contemporary Journal Concept Press
2010-02-28 00:00:00
Peer-reviewed Modeling Papers
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS.2-12
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 2, No 1: MCFNS February 28, 2010
eng
Global
Contemporary
Analytical
Copyright (c)
oai:ojs.mcfns.com:article/96
2013-05-18T09:26:47Z
Journal:Letter
nmb a2200000Iu 4500
"100822 2010 eng "
1946-7664
dc
FALSIFICATION AND CERTAINTY repost
Rennolls, Keith
Professor Emeritus, University of Greenwich, UK http://www.cms.gre.ac.uk/staff/details.asp?id=248
Array
Contemporary Journal Concept Press
2010-08-28 00:00:00
Unsolicited Commentaries
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS.2-166
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 2, No 2: MCFNS August 28, 2010
eng
Global
Contemporary
Theoretical constructs
Copyright (c)
oai:ojs.mcfns.com:article/105
2013-03-21T23:11:33Z
Journal:OR%2BDSS
nmb a2200000Iu 4500
"120228 2012 eng "
1946-7664
dc
Optimal Parameter Settings for Solving Harvest Scheduling Models with Adjacency Constraints
Manning, Phillip J.
Northeast Land Management, LLC, USA http://www.nelandmgmt.com
McDill, Marc E
The Pennsylvania State University, USA http://sfr.psu.edu/directory/mem14
Array
Optimal parameter settings to improve the efficiency of solving harvest scheduling models with adjacency constraints were examined using Ilog’s Cplex® 11.2 optimizer tuning tool. A total of 160 randomly generated hypothetical forests were created with either 50 or 100 stands and four age-class distributions. Mixed integer programming problems were formulated in Model I form with four different adjacency constraint types, two Unit Restriction Model (URM) adjacency constraints (Pairwise and Maximal Clique) and two Area Restriction Model (ARM) formulations (Path and Generalized Management Unit). A total of 640 problem sets―where a set is a common forest size, age-class distribution, and adjacency constraint type―were tuned to determine optimal parameter settings and then were solved at both the default and optimal settings. In general, mean solution time was less for a given problem set using the optimal parameters compared to the default parameters. The results discussed provide a simple approach to decrease the solution time of solving mixed integer forest planning problems with adjacency constraints.
Contemporary Journal Concept Press
2012-02-28 00:00:00
Peer-reviewed Optimization Papers
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS.4%3A16
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 4, No 1: MCFNS February 28, 2012
eng
http://mcfns.com/index.php/Journal/article/download/105/533
http://mcfns.com/index.php/Journal/article/download/105/534
Copyright (c)
oai:ojs.mcfns.com:article/147
2021-04-14T18:20:09Z
Journal:MicroDetect
nmb a2200000Iu 4500
"130330 2013 eng "
1946-7664
dc
Selected Technical Aspects of Tu-154M Smolensk Air Crash on April 10, 2010
Gieras, Jacek F.
University of Technology and Life Sciences, Poland http://jfgieras.com/
Array
This is a collection of reports that consists of three parts. The author is a Professor of PowerElectrical Engineering, so he focuses on the Tu-154M power electric system and all aspects of the air crashthat relate to electrical equipment and wiring.
Part I discusses the electric power system of the Tu-154M. After brief introduction to aircraft power systems,the results of reverse design and analysis of GT40PCh6 wound-eld synchronous generator including shortcircuit have been presented. An example of failure of GT40PCh6 generator is the re of the Tu-154B-2 onJanuary 1, 2011 before taking o at Surgut airport (ight 7K348). Guidelines for proper investigation ofaircraft electric equipment and wiring after crash have been given. There is no evidence of examinationof most electrical equipment of the Tu-154M No 101 after crash on April 10, 2010. It is now extremelydicult to determine, if the electric power system of the Tu-154M No 101 was operating correctly in thelast seconds of the ight, or not.
Part II analyzes the fuel system and possibility of explosion of fuel-air mixture as a result of arcing and/orstatic electricity in the left wing outer fuel tank of the Tu-154M No 101. Examples of explosions of fueltanks (Boeing 747-131 TWA 800 on June 17, 1996 and Boeing 727-200 at Bangalore Airport on May 42006) have been discussed. Although probability of explosion of fuel in the left wing outer tank due theelectric short circuit, arcing or static electricity is low, this problem should be carefully considered in futureexamination of the wreckage and remaining electrical wiring and equipment.
Part III describes a comparative analysis of hypothetical collision of the Tu-154M No 101 with birch tree,full-scale dynamic crash test of Douglas DC-7 and full-scale dynamic crash test of Lockheed Constellation1649. The analysis pertains to the technical data of the Tu-154M, DC-7 and LC-1649 airliners, dierencesin their construction and conditions of collision/impact.
Contemporary Journal Concept Press
2013-03-30 00:00:00
Peer-reviewed Multidisciplinary Works
application/pdf
http://mcfns.com/index.php/Journal/article/view/147
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 5, No 1: MCFNS March 30, 2013
eng
http://mcfns.com/index.php/Journal/article/download/147/945
Smolensk, Russia
10 April 2010; Contemporary
Available documentations and review of sample studies
Copyright (c)
oai:ojs.mcfns.com:article/189
2016-04-26T12:41:21Z
Journal:OR%2BDSS
nmb a2200000Iu 4500
"150330 2015 eng "
1946-7664
dc
Algorithms for estimating the suitability of potential landing sites
Søvde, Nils Egil
The Norwegian Forest and Landscape Institute
Array
Cable yarding systems are commonly used in steep or difficult terrain and require suitable landing sites. This work describes two algorithms that calculate the suitability of roads and areas for landing site use. The algorithms were tested against real world data. The results show that simple algorithms are sufficient to make stable, useful estimates that are comparable with human site placements. These techniques can be used to guide forest road network planning or reuse of existing roads.
Contemporary Journal Concept Press
2015-03-30 00:00:00
Peer-reviewed Optimization Papers
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS7.1_1
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 7, No 1: MCFNS March 30, 2015
eng
http://mcfns.com/index.php/Journal/article/download/189/1193
http://mcfns.com/index.php/Journal/article/download/189/1194
Global
Copyright (c)
oai:ojs.mcfns.com:article/216
2023-10-20T02:47:31Z
Journal:G%26Y%2BQS
nmb a2200000Iu 4500
"160930 2016 eng "
1946-7664
dc
ENTROPY DYNAMICS IN CONE PRODUCTION OF LONGLEAF PINE FORESTS IN THE SOUTHEASTERN UNITED STATES
Chen, Xiongwen
Alabama A & M University
Array
Irregular temporal patterns of seed production are a challenge for the regeneration and restoration of longleaf pine, which is a keystone component of an endangered ecosystem in the southeastern United States.  In this study, long-term data for longleaf pine cone production, collected at six sites across the southeastern region, was examined from the perspective of information entropy. Our results indicate that long-term monitoring data usefully reflects the information entropy and trajectory in cone production. The entropy of cone production for longleaf pine forests at all sites increased slowly through time.  However, a slight decrease in entropy was also noted.   Entropy across all sites remained within 1.28~1.77 until 2016. High linear correlation existed between entropy and log (time length). MaxEnt overestimated the information entropy at each site, although the dynamics were similar. Joint entropy among all sites might reflect an emergent pattern for entropy across the region. Our study provides an important approach for characterizing ecosystem dynamics by information flow in adaptive ecosystem management.Â
Contemporary Journal Concept Press
2016-09-30 00:00:00
Peer-reviewed Papers on Growth and Mortality Dynamics
application/pdf
http://mcfns.com/index.php/Journal/article/view/8.2
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 8, No 2: MCFNS September 30, 2016
eng
http://mcfns.com/index.php/Journal/article/download/216/1348
http://mcfns.com/index.php/Journal/article/download/216/1362
http://mcfns.com/index.php/Journal/article/download/216/1363
Southeastern USA
1958-2014
cone production
Copyright (c) 2016 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/238
2021-04-14T18:13:51Z
Journal:SOFOR
nmb a2200000Iu 4500
"180330 2018 eng "
1946-7664
dc
Follow-up study of the importance of mapping technology knowledge and skills for entry-level forestry job positions, as deduced from recent job advertisements
Bettinger, Pete
University of Georgia http://www.forestry.uga.edu/warnell_bios/app/Public/ViewBio/2
Merry, Krista
University of Georgia
Array
The purpose of this investigation is to assess the importance of mapping technology knowledge and skills for entry-level forestry job candidates, based on relevant job advertisements made available through the Internet. The study assumes that an expectation of the relevant details regarding educational background and desired work experience of an entry-level forestry position would be evident in a job advertisement. One hundred and seventy-two (172) job advertisements were collected from 91 employment and recruitment Internet sites over a six-month period of time beginning on March 30, 2017 and ending on September 30, 2017. Using a summative content analysis approach, we analyzed the word/phrase frequency of use of mapping technology requirements in these job advertisements. Employers placed greatest emphasis on knowledge and skill related to geographic information systems. The results indicate that over half of the entry-level forestry job advertisements required candidates to possess knowledge (24.4%) or skill (26.2%) related to geographic information systems (GIS). Over one-quarter of the advertisements suggested knowledge (10.5%) or skill (16.9%) of global positioning systems (GPS) was important. Only one GIS system was specifically mentioned in the job advertisements. Knowledge and skill related to the use of a compass, aerial images, and in a broader sense, remote sensing were mentioned in much lower frequencies. We observed some differences with respect to the type of forestry organization seeking job applicants (public and private), and the region in which the job being offered was situated.
Contemporary Journal Concept Press
2018-03-30 00:00:00
Peer-reviewed GIS Papers from Southern USA
application/pdf
http://mcfns.com/index.php/Journal/article/view/10.5
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 10, No 1: MCFNS March 30, 2018
eng
United States
2015
Online job advertisements;
Copyright (c) 2008 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/266
2021-04-10T02:09:22Z
Journal:G%26Y%2BQS
nmb a2200000Iu 4500
"200420 2020 eng "
1946-7664
dc
Second-Log Branch Size Comparison Between Even-aged and Multiaged Douglas-fir Stands in Coastal Northern California
Kirk, Christopher Isaac
Humboldt State University
Berrill, John-Pascal
University of Maine
Array
We studied how forest management decisions affect branching of coastal Douglas-fir Pseudotsuga menziesii var. menziesii in coastal northern California because knot sizes can affect performance, grade, and value of structural lumber. We focused on branching in the second log which is located immediately above the butt log and constitutes an important part of a tree's wood volume and potential value. Branch diameters were measured on multiple Douglas-fir trees nested within 40 plots sampling even-aged and multiaged stands. We analyzed two tree-level branch size metrics that can be influential in log grading: (i) the basal diameter of the largest branch on the log, and (ii) the average diameter of the largest branch on each quadrant (termed BIX). Generalized linear mixed-effects regression analysis revealed that branches were smaller in multiaged stands than even-aged stands. Trees with larger branches also had larger DBH and crown width, and lower height:diameter ratio. Branch diameters were more sensitive to competition from their nearest neighboring trees than overall stand density or basal area of larger trees. Since neighboring trees exerted control over branch development, and if large branches are undesirable, managers may consider implementing more dispersed patterns of retention and limiting creation of edges.
Contemporary Journal Concept Press
2020-03-30 00:00:00
Peer-reviewed Papers on Growth and Mortality Dynamics
application/pdf
application/pdf
http://mcfns.com/index.php/Journal/article/view/12.4
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 12, No 1: MCFNS March 30, 2020
eng
http://mcfns.com/index.php/Journal/article/download/266/1809
Coastal Northern California
Second Growth; Third Growth
Plot type; Species; Spacing; DBH; Height; Live Crown Base Height; Live Crown Radius; Branch Diameter; Branch Azimuth; Influential Neighboring Trees
Copyright (c) 2020 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/305
2023-10-15T04:59:13Z
Journal:NREcon
nmb a2200000Iu 4500
"221030 2022 eng "
1946-7664
dc
SPATIAL DEPENDENCIES WITHIN MISSISSIPPI’S PRIMARY FOREST PRODUCTS MANUFACTURERS
Editor, MCFNS
Mathematical and Computational Forestry & Natural-Resource Sciences http://mcfns.com/index.php
Crosby, Michael K.
School of Agricultural Sciences & Forestry, Louisiana Tech University, Ruston, LA, USA https://ans.latech.edu/agricultural-sciences-forestry/
Array
We determined whether wood-using mills’ locations spatially depended upon timber product harvest levels and the number of complementary species group mills within and between Mississippi counties. County mill count, either pine or hardwood, was the dependent variable. County timber product harvest levels (thousand green tons) for pine sawtimber, pine pulpwood, and pine poles along with count of hardwood mills were pine model predictors; the hardwood model included hardwood sawtimber and pulpwood harvests and pine-type mill count. Poisson regression models were augmented to Spatial Lag of X models as necessary to account for spatial dependencies.
Pine product harvesting direct effects were absent. Own-county pine pulpwood harvests positively influenced pine mill counts in neighboring counties (t = 3.21, p = 0.0013); pine sawtimber to less so (t = 1.77, p = 0.0766); while pine pole harvests produced the opposite effect (t = -1.96, p = 0.0505). Pine sawtimber and pulpwood competition increased with procurement radii. Greater hardwood pulpwood harvesting (t = 4.44, p 0.0001) and pine mill count (t = 2.70, p = 0.0085) indicated a significant own-county hardwood mill presence. This is germane to log trucking output, wood utilization efficiency, standing timber prices, and consequently timberland value.
Contemporary Journal Concept Press
2022-10-30 00:00:00
Peer-reviewed Economics and Policy Works
application/pdf
http://mcfns.com/index.php/Journal/article/view/14.4
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 14, No 2: MCFNS October 30, 2022
eng
Global
Contemporary
Copyright (c) 2022 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/35
2011-04-16T23:08:21Z
Journal:SSAFR
nmb a2200000Iu 4500
"100212 2010 eng "
1946-7664
dc
An overview of methods for incorporating wildfires into forest planning models
Bettinger, Pete
The University of Georgia, USA http://www.forestry.uga.edu/warnell_bios/app/Public/ViewBio/2
Array
The introduction or modification of land use regulations and sustainability initiatives over the last few decades has arguably increased the complexity of forest planning processes. Given the planning goals of a land management organization, both spatial and temporal characteristics of desired future landscapes may now be important to recognize. In some cases of planning, wildfire plays an important economic and ecological role. Efforts to model the potential effects of forest wildfires have ranged from manipulation of vegetation strata using hazard ratings or disturbance probabilities, to spatially recognizing the spread of wildfires across a landscape. This paper describes a range of options for incorporating wildfires into forest planning models, and discusses the challenges and limitations related to each. Linear programming, binary search, simulation models, and heuristics have all been used to assess the impacts of wildfire on forest planning goals. Wildfire has been incorporated into forest planning processes in both deterministic and stochastic manners, with some suggesting that the deterministic route provides a close approximation to historical stochastic events. When stochastic measures are employed, the position of the wildfire, the frequency, and the intensity can all be drawn from probability distributions, although only a few of the recognized works model these to the full extent. In general, the greater the stochastic measures employed, the stronger the implication is that multiple simulations are necessary to assess potential impacts. Further, the more complex the wildfire integration process becomes, the implication seems to be that simulation models and heuristics are necessary. MCFNS 2(1):43-52.
Contemporary Journal Concept Press
2010-02-28 00:00:00
Peer-reviewed Papers on System Analysis
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS.2-43
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 2, No 1: MCFNS February 28, 2010
eng
North America
1970-present
Published research
Copyright (c)
oai:ojs.mcfns.com:article/61
2011-04-16T22:58:03Z
Journal:SOFOR
nmb a2200000Iu 4500
"100810 2010 eng "
1946-7664
dc
Evaluating TIFFS (Toolbox for LiDAR Data Filtering and Forest Studies) in Deriving Forest Measurements from LiDAR Data
Chapman, John
Stephen F. Austin State University, USA
Hung, I-Kuai
Stephen F. Austin State University, USA
Tippen, Jeff
Surdex Corporation, USA
Array
The recent advances in LiDAR (Light Detection and Ranging) have allowed for the remote sensing of important forest characteristics to be more reliable and commercially available. Studies have shown that this technology can accurately estimate forest characteristics including individual tree location, canopy height, and crown diameter. These values are used to estimate biophysical properties of forests such as basal area and stand volume. This study assesses the accuracy of LiDAR-derived estimates of forest characteristics including diameter and height against traditional timber cruising through field sampling. A commercially available program, TiFFS (Toolbox for LiDAR Data Filtering and Forest Studies), is used for comparison. Results are discussed with the focus on forestry operation. MCFNS 2(2):145-152.
Contemporary Journal Concept Press
2010-08-28 00:00:00
Peer-reviewed GIS Papers from Southern USA
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS.2-145
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 2, No 2: MCFNS August 28, 2010
eng
Copyright (c)
oai:ojs.mcfns.com:article/115
2011-08-29T10:26:06Z
Journal:FIA
nmb a2200000Iu 4500
"110801 2011 eng "
1946-7664
dc
Calculation of Upper Confidence Bounds on Proportion of Area containing Not-sampled Vegetation Types: An Application to Map Unit definition for Existing Vegetation Maps
Patterson, Paul L.
USDA Forest Service, Rocky Mountain Research Station, FIA, USA
Finco, Mark
USDA Forest Service, Remote Sensing Applications Center, USA
Array
This paper explores the information forest inventory data can produce regarding forest types that were not sampled and develops the equations necessary to define the upper confidence bounds on not-sampled forest types. The problem is reduced to a Bernoulli variable. This simplification allows the upper confidence bounds to be calculated based on Cochran (1977). Examples are provided that demonstrate how the resultant equations are relevant to creating mid-level vegetation maps by assisting in the development of statistically defensible map units.
Contemporary Journal Concept Press
2011-08-28 00:00:00
Peer-reviewed FIA-related Papers
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS.3-98
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 3, No 2: MCFNS August 28, 2011
eng
Utah, USA
Contemporary
FIA data
Copyright (c)
oai:ojs.mcfns.com:article/165
2013-10-01T10:22:41Z
Journal:Sampling
nmb a2200000Iu 4500
"130930 2013 eng "
1946-7664
dc
Changes in forest habitat classes under alternative climate and land-use change scenarios in the northeast and midwest, USA
Tavernia, Brian G
Department of Biology, North Carolina State University
Nelson, Mark D
USDA Forest Service, Northern Research Station http://www.nrs.fs.fed.us/people/nelson
Goerndt, Michael E
University of Missouri
Walters, Brian F
USDA Forest Service, Northern Research Station http://www.nrs.fs.fed.us/people/bfwalters
Toney, Chris
USDA Forest Service http://www.fs.fed.us/research/people/profile.php?alias=christoney
Array
Large-scale and long-term habitat management plans are needed to maintain the diversity of habitat classes required by wildlife species. Planning efforts would benefit from assessments of potential climate and land-use change effects on habitats. We assessed climate and land-use driven changes in areas of closed- and open-canopy forest across the Northeast and Midwest by 2060. Our assessments were made using projections based on A1B and A2 future scenarios developed by the Intergovernmental Panel on Climate Change. Presently, forest land covers 70.2 million ha and is evenly divided between closed- and open-canopy habitats. Projections indicated that total forest land would decrease by 3.8 or 4.5 million ha for A2 and A1B, respectively. Within persisting forest land, the balance between closed- and open-canopy habitats depended on assumed harvest rates of woody biomass. Standard harvest rates led to closed-canopy habitat attaining a slight majority of total forest land area. Intensive harvest rates resulted in the majority of forest land being in open-canopy habitat for A1B or maintained the even split between closed- and open-canopy habitats for A2. Ultimately, managers need to identify benchmark habitat conditions informed by historical conditions and wildlife population dynamics and plan to meet these benchmarks in dynamic forest landscapes.
Contemporary Journal Concept Press
2013-09-30 00:00:00
Peer-reviewed Experimental Design Works
application/pdf
text/x-tex
http://mcfns.com/index.php/Journal/article/view/MCFNS_165
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 5, No 2: MCFNS September 30, 2013
eng
http://mcfns.com/index.php/Journal/article/download/165/1015
http://mcfns.com/index.php/Journal/article/download/165/1016
http://mcfns.com/index.php/Journal/article/download/165/1017
http://mcfns.com/index.php/Journal/article/download/165/1018
http://mcfns.com/index.php/Journal/article/download/165/1019
http://mcfns.com/index.php/Journal/article/download/165/1034
Northeast; Midwest
Copyright (c)
oai:ojs.mcfns.com:article/187
2016-04-26T12:43:04Z
Journal:SOFOR
nmb a2200000Iu 4500
"140930 2014 eng "
1946-7664
dc
A Brief Overview of the 9th Southern Forestry and Natural Resources GIS Conference
Bettinger, Pete
University of Georgia http://www.forestry.uga.edu/warnell_bios/app/Public/ViewBio/2
Merry, Krista
University of Georgia
Array
This short summary represents the introduction and overview of a special section of two papers that arose from the 2013 (9th) Southern Forestry and Natural Resources GIS Conference (SOFOR GIS). The conference held its ninth meeting in Athens, Georgia (USA) on December 9-10, 2013.
Contemporary Journal Concept Press
2014-09-30 00:00:00
Peer-reviewed GIS Papers from Southern USA
application/pdf
text/x-tex
http://mcfns.com/index.php/Journal/article/view/6_62
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 6, No 2: MCFNS September 30, 2014
eng
Southern United States
2013
Copyright (c)
oai:ojs.mcfns.com:article/207
2021-04-14T18:17:46Z
Journal:SOFOR
nmb a2200000Iu 4500
"160330 2016 eng "
1946-7664
dc
The importance of mapping technology knowledge and skills for students seeking entry-level forestry positions: Evidence from job advertisements
Bettinger, Pete
University of Georgia http://www.forestry.uga.edu/warnell_bios/app/Public/ViewBio/2
Merry, Krista
University of Georgia
Cieszewski, Chris J
University of Georgia
Array
We investigated in this study the importance of mapping technology (GIS, GPS, aerial photo interpretation) qualifications for entry-level forestry employment opportunities, based on relevant job advertisements made available through Internet services. The basis for the study is an expectation that the relevant details regarding the educational background and desired work experience of a position would be evident in the job advertisement. We collected data from eighty-four employment and recruitment related websites, which were monitored between May 2015 and November 2015. Using content analysis, we analyzed the inclusion of mapping technology requirements in job advertisements as basic criteria for screening candidates for forestry employment. The main focus of the data collection process was on forestry positions available in the United States that seemed to require a four-year degree in forestry and one year or less of work experience. The data came from 234 job advertisements; 165 (72%) of the job advertisements that had a requirement of basic knowledge, experience, or proficiency with regard to mapping technology or the ability to read and follow maps. Differences in the frequency with which mapping technologies were required varied among regions, types of employer, and types of jobs offered.
Contemporary Journal Concept Press
2016-03-30 00:00:00
Peer-reviewed GIS Papers from Southern USA
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS.8.14
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 8, No 1: MCFNS March 30, 2016
eng
United States
2015
Job advertisements
Copyright (c) 2016 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/236
2021-04-14T18:13:51Z
Journal:G%26Y%2BQS
nmb a2200000Iu 4500
"180330 2018 eng "
1946-7664
dc
Reverse Causality in Size-Dependent Growth
Garcia, Oscar
Dasometrics, Concon, Chile
Array
Size-dependent growth is likely to be growth-dependent size instead. Larger organisms do not necessarily grow faster, but faster-growing ones always tend to be larger. This fact has been generally ignored. Correct causality structures are essential for plausible predictions outside the range of the data. Some techniques potentially useful for studying these issues are brie y described. In forestry, the relevance of multiple size measures like volume, height, diameter and basal area greatly complicates the picture. Additionally, purely mathematical sources of growth-size correlations arise. Physiological considerations suggest avoiding stem thickness measures as explanatory variables in growth equations.
Contemporary Journal Concept Press
2018-03-30 00:00:00
Peer-reviewed Papers on Growth and Mortality Dynamics
application/pdf
http://mcfns.com/index.php/Journal/article/view/10.1
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 10, No 1: MCFNS March 30, 2018
eng
Temperate Forests
Contemporary
Hypothetical data
Copyright (c) 2018 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/265
2019-11-04T19:19:07Z
Journal:G%26Y%2BQS
nmb a2200000Iu 4500
"191030 2019 eng "
1946-7664
dc
Conifer retention and hardwood management affect harvest volume and carbon storage in Douglas-fir/tanoak
Berrill, John-Pascal
University of Maine
Boston, Kevin
Humboldt State University
Array
Modern forest management involves tradeoffs between harvest intensity and carbon storage in live trees. A key component is how non-merchantable tree species are treated. We simulated forest growth and yield over a century of multiaged management in a mixed stand in northern California. Pre-treatment basal area comprised 136 ft2 ac-1 (31 m2 ha-1) non-merchantable hardwood and 73 ft2 ac-1 (17 m2 ha-1) merchantable conifer. Individual-tree selection harvest was simulated for various conifer BA retention levels at 20-year harvest return intervals. Silvicultural prescriptions promoted conifer dominance by retaining only 5 ft2 ac-1 (1.1 m2 ha-1) hardwood BA at each harvest. Alternatively, retaining 50% of hardwood BA at each harvest slowed the conversion to conifer dominance. Higher BA retention favored per-acre growth and storage of carbon in live trees. Cutting more heavily sacrificed per-acre wood volume growth, but sizeable early conifer harvests ensued. The FORSEE growth and yield model did not predict expected positive responses of conifer tree growth to treatments that eliminated hardwoods, suggesting it may not adequately simulate benefits of hardwood management. Therefore, our projections of growth and harvest yield should be regarded as conservative when evaluating forest restoration and management options in terms of growth, yield, and carbon dynamics.  Â
Contemporary Journal Concept Press
2019-10-30 00:00:00
Peer-reviewed Papers on Growth and Mortality Dynamics
application/pdf
http://mcfns.com/index.php/Journal/article/view/11.4
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 11, No 2: MCFNS October 30, 2019
eng
Northern California Coast Range
Second Growth
Growth and Yield Model Simulations
Copyright (c) 2019 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/64
2021-11-22T03:52:19Z
Journal:Sampling
nmb a2200000Iu 4500
"211101 2021 eng "
1946-7664
dc
NEAREST NEIGHBOR BIAS IN THE SUBSTITUTION OF MISSING VALUES
Cieszewski, Chris J.
The University of Georgia, USA http://drcjc.com
Iles, Kim
Kim Iles & Associates, Nanaimo, B.C., Canada http://www.island.net/~kiles/
Array
We present a simplified illustration of the bias inherent in the general case of the Nearest Neighbor (NN) method used to substitute missing values. This presentation doesn't make any assumptions about the geometry of the sampled subjects. The general examples illustrate that the bias exists mainly at the limits of the data range and not necessarily within the center part of the range. However, the latter is also possible around any significant data gaps. Since the NN data domain stretches across an arbitrary subject characteristic rather than across the physical space, it is possible to reduce the bias by assuring that the domain range of the considered attribute is well-represented within its entire range, especially at its upper and lower limits.
Contemporary Journal Concept Press
2021-11-01 06:02:50
Peer-reviewed Experimental Design Works
application/pdf
http://mcfns.com/index.php/Journal/article/view/13.8
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 13, No 2: MCFNS October 30, 2021
eng
http://mcfns.com/index.php/Journal/article/download/64/255
Worldwide
Contemporary
Volume, Basal Area, Biomass, Species Groups, Cover Types
Copyright (c) 2021
oai:ojs.mcfns.com:article/18
2011-05-01T22:51:26Z
Journal:Sampling
nmb a2200000Iu 4500
"090828 2009 eng "
1946-7664
dc
“Nearest-tree†estimations - A discussion of their geometry
Iles, Kim
Kim Iles & Associates, Nanaimo, B.C., Canada http://www.island.net/~kiles/
Array
A discussion of the Nearest-tree estimations from the point of view of their geometry. MCFNS 1(2):47-51.
Contemporary Journal Concept Press
2009-08-28 00:00:00
Peer-reviewed Experimental Design Works
application/pdf
application/postscript
http://mcfns.com/index.php/Journal/article/view/MCFNS.1-47
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 1, No 2: MCFNS August 28, 2009
eng
Age; Species; Height; Diameter; Basal Area
Copyright (c)
oai:ojs.mcfns.com:article/62
2011-04-16T22:56:54Z
Journal:SOFOR
nmb a2200000Iu 4500
"100809 2010 eng "
1946-7664
dc
Geoprocessing Solutions Developed While Calculating the Mean Human Footprintâ„¢ for Federal and State Protected Areas at the Continent Scale
Lipscomb, Donald J
Clemson University, USA
Baldwin, Robert F
Clemson University, USA
Array
We calculated the mean Human Footprint (HF) for 196,498 polygons representing state and federal administrated Protected Areas (e.g., National Forests, National Parks, State and/or Provincial Parks, etc.) of Canada, Mexico, and the Continental United States. Separate calculations were made for (1) the area in each protected area which ranged in size from less than one to over 11 million hectares and (2) the area outside and within 10 km of each protected area. We used Last of the Wild s V. 2 (2005) for North America as the data source for Human Footprint values with spatial reference. This paper is about the technical problems we encountered using ArcGIS 9.3 and Spatial Analyst to accomplish this task in a timely manner. We wrote several scripts to automate processes and address overlapping polygons resulting from zone calculations of 10 km around each protected area (doughnut-shaped polygons defining the zones from which to calculate mean HF adjacent to protected areas). We learned that Spatial Analyst does not honor the object integrity of overlapping polygons when using them to define zones for calculating zonal statistics from raster data. We tried alternative solutions including the use of Hawth s Analysis Tools v3.27 (Zonal Statistics [++]) and writing scripts in Visual Basic 6.0 to separate overlapping polygons and to calculate zonal statistics both as a table and output raster. One of the four scripts resulting from this project was written to calculate the 10 km zone around each Protected Area polygon. This script can be used to calculate a separate doughnut polygon for any distance outside of any size polygon, even if it shares boundaries with other polygons. We also discovered that the zonal statistics function in Spatial Analyst does not calculate all of the zones in a large dataset even if the polygons do not overlap. Our solution for this problem is described in this paper as an iterative process ending with another custom script to define the raster value located under the label point of each polygon in a dataset. Ultimately, we successfully calculated the mean Human Footprint from a spatially defined raster both inside and outside the nearly 200,000 polygons defining the boundaries of Protected Areas in North America (http://cec.org/atlas). MCFNS 2(2):138-144.
Contemporary Journal Concept Press
2010-08-28 00:00:00
Peer-reviewed GIS Papers from Southern USA
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS.2-138
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 2, No 2: MCFNS August 28, 2010
eng
Copyright (c)
oai:ojs.mcfns.com:article/93
2012-04-02T12:37:03Z
Journal:DSTSFM
nmb a2200000Iu 4500
"110228 2011 eng "
1946-7664
dc
The development and implementation of forest and wildland fire management decision support systems: reflections on past practices and emerging needs and challenges
Martell, David
The University of Toronto, Canada http://www.firelab.utoronto.ca/people/dlm.html
Array
Forest fire managers in the province of Ontario, Canada have used computer-based decision support systems and actively supported their development since the late 1970 s. I describe four DSS projects in which I was involved and discuss factors that I believe contributed to the success and failures of those initiatives. I then outline some emerging fire management needs and challenges and present some recommendations to those who wish to develop DSSs for other forest and wildland fire management agencies. MCFNS 3(1):18-26.
Contemporary Journal Concept Press
2011-02-28 00:00:00
Peer-reviewed DSS-Related Papers
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS.3-18
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 3, No 1: MCFNS February 28, 2011
eng
Boreal forest
Copyright (c)
oai:ojs.mcfns.com:article/144
2013-06-18T13:53:14Z
Journal:Modeling
nmb a2200000Iu 4500
"120930 2012 eng "
1946-7664
dc
Self-thinning Limits in Two and Three Dimensions
Garcia, Oscar
University of Northern British Columbia, Canada
Array
The principles behind self-thinning laws and stand density management diagrams are examined. Relationships are analyzed based on trajectories of unthinned and thinned stands in a 3-dimensional state space. Limiting self-thinning lines and planes are demonstrated using a dynamic stand growth model for loblolly pine.
Contemporary Journal Concept Press
2012-09-30 00:00:00
Peer-reviewed Modeling Papers
application/pdf
http://mcfns.com/index.php/Journal/article/view/144
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 4, No 2: MCFNS September 30, 2012
eng
Temperate Forests
Second Growth
Copyright (c)
oai:ojs.mcfns.com:article/149
2021-04-14T18:19:23Z
Journal:OR%2BDSS
nmb a2200000Iu 4500
"140330 2014 eng "
1946-7664
dc
Schedule fuel treatments to fragment high fire hazard fuel patches
Wei, Yu
Warner College of Natural Resources, The Colorado State University, USA http://warnercnr.colostate.edu/
Long, Yehan
The Colorado State University, USA
Array
Fuel treatment is an important component of wildland fire management. This research revised and applied a mathematical programming model to schedule fuel treatment to fragment fuel patches with high fire intensity hazard. It differs from many previous fuel treatment scheduling models that aimed at detailed fire spread control. This new approach does not rely on the accurate prediction of future fire spread direction, speed and duration. Preliminary analyses suggested that scheduling fuel treatment to fragment high fire hazard fuel patches has similar effects as scheduling fuel treatment to control fires with very long fire duration. Both modeling strategies could effectively lower the risk of future fires with various spread directions, spread speeds and durations. Tests also suggested that fuel treatment layouts designed to control fires with short durations might not perform well when the actual fire duration is much longer that it is planned for. This research presented a new and practical approach in patch oriented fuel management.
Contemporary Journal Concept Press
2014-03-30 00:00:00
Peer-reviewed Optimization Papers
application/pdf
http://mcfns.com/index.php/Journal/article/view/6_1
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 6, No 1: MCFNS March 30, 2014
eng
Western USA
Year
Copyright (c)
oai:ojs.mcfns.com:article/198
2023-10-19T03:49:41Z
Journal:G%26Y%2BQS
nmb a2200000Iu 4500
"150930 2015 eng "
1946-7664
dc
Transplant size affects early growth of a Pinus taeda clone
South, David
Auburn University
Lyons, AL
Hancock Forest Management
Pohl, Russ
Georgia Forestry Commission
Array
Block-plot experiments in Alabama and Georgia were examined to determine the effects of transplant size on early height growth of a tissue-cultured, Pinus taeda L clone. Ramets of clone L-3576 were transplanted into a bareroot nursery at three spacings. After lifting, the transplants were sorted into three classes according to the diameter at the soil-line; 3-4.9 mm, 5-6.9 mm, 8-9.9 mm. Survival after 5 years in the field was greater than 97% at both thecutover site in Alabama and the grassland site in Georgia. At both sites, transplants with the largest diameter exhibited the greatest height and diameter growth. At year five, the difference in height between the smallest and largest class was approximately 0.5 m. This is roughly equal to a time-gain of 4 to 5 months. Stand uniformity can be improved slightly when planting large stock (when the stock range in initial diameter is 2 mm). Results from these trials suggest that early growth performance of one clone can be affected by the size of transplants at time of planting.
Â
Contemporary Journal Concept Press
2015-09-30 00:00:00
Peer-reviewed Papers on Growth and Mortality Dynamics
application/pdf
http://mcfns.com/index.php/Journal/article/view/MCFNS7.2_1
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 7, No 2: MCFNS September 30, 2015
eng
http://mcfns.com/index.php/Journal/article/download/198/1234
http://mcfns.com/index.php/Journal/article/download/198/1269
Piedmont; Coastal Plain;
5 year plantations; Contemporary;
5 yr; P. taeda; somatic embryogenesis
Copyright (c) 2015 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/223
2023-10-20T02:43:30Z
Journal:Hydro
nmb a2200000Iu 4500
"170330 2017 eng "
1946-7664
dc
The development of a spatio-temporal model for water hyacinth biological control strategies
Van Schalkwyk, Heléne
Stellenbosch University
Potgieter, Linke
Stellenbosch University
Hui, Cang
Stellenbosch University and African Institute for Mathematical Sciences
Array
A reaction-diffusion model for a temporally variable and spatially heterogeneous environment is developed to mathematically describe the spatial dynamics of water hyacinth and the interacting populations of the various life stages of the Neochetina eichhorniae weevil as a biological control agent on a bounded two-dimensional spatial domain. Difficulties encountered during the implementation of the model in MATLAB are discussed, including the implementation of time delays and spatial averaging. Conceptual validation tests indicate that the model may succeed in describing the spatio-temporal dynamics of the water hyacinth and weevil interaction. A modelling framework is thereby provided to evaluate the effectiveness of different biological control release strategies, providing guidance towards the optimal magnitude, timing, frequency and distribution of agent releases. Numerical results confirm the hypothesis that the seasonal timing of releases have a significant influence on the success of the control achieved. However, in order to ascertain the degree to which the model output realistically represent the real life water hyacinth and weevil interaction, predictive validation tests are proposed for further research.
Contemporary Journal Concept Press
2017-03-30 00:00:00
Peer-reviewed Research Publication
application/pdf
http://mcfns.com/index.php/Journal/article/view/9.4
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 9, No 1: MCFNS March 30, 2017
eng
http://mcfns.com/index.php/Journal/article/download/223/1401
http://mcfns.com/index.php/Journal/article/download/223/1402
http://mcfns.com/index.php/Journal/article/download/223/1403
http://mcfns.com/index.php/Journal/article/download/223/1404
http://mcfns.com/index.php/Journal/article/download/223/1405
http://mcfns.com/index.php/Journal/article/download/223/1406
http://mcfns.com/index.php/Journal/article/download/223/1407
http://mcfns.com/index.php/Journal/article/download/223/1408
http://mcfns.com/index.php/Journal/article/download/223/1409
http://mcfns.com/index.php/Journal/article/download/223/1410
http://mcfns.com/index.php/Journal/article/download/223/1411
http://mcfns.com/index.php/Journal/article/download/223/1412
http://mcfns.com/index.php/Journal/article/download/223/1413
http://mcfns.com/index.php/Journal/article/download/223/1414
http://mcfns.com/index.php/Journal/article/download/223/1415
http://mcfns.com/index.php/Journal/article/download/223/1416
http://mcfns.com/index.php/Journal/article/download/223/1417
http://mcfns.com/index.php/Journal/article/download/223/1418
http://mcfns.com/index.php/Journal/article/download/223/1419
http://mcfns.com/index.php/Journal/article/download/223/1420
http://mcfns.com/index.php/Journal/article/download/223/1421
http://mcfns.com/index.php/Journal/article/download/223/1423
http://mcfns.com/index.php/Journal/article/download/223/1424
http://mcfns.com/index.php/Journal/article/download/223/1425
http://mcfns.com/index.php/Journal/article/download/223/1426
http://mcfns.com/index.php/Journal/article/download/223/1427
http://mcfns.com/index.php/Journal/article/download/223/1428
http://mcfns.com/index.php/Journal/article/download/223/1429
http://mcfns.com/index.php/Journal/article/download/223/1430
http://mcfns.com/index.php/Journal/article/download/223/1431
http://mcfns.com/index.php/Journal/article/download/223/1432
http://mcfns.com/index.php/Journal/article/download/223/1433
http://mcfns.com/index.php/Journal/article/download/223/1434
http://mcfns.com/index.php/Journal/article/download/223/1435
http://mcfns.com/index.php/Journal/article/download/223/1436
http://mcfns.com/index.php/Journal/article/download/223/1437
http://mcfns.com/index.php/Journal/article/download/223/1438
http://mcfns.com/index.php/Journal/article/download/223/1439
Copyright (c) 2017 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/245
2023-10-20T02:45:37Z
Journal:G%26Y%2BQS
nmb a2200000Iu 4500
"181030 2018 eng "
1946-7664
dc
ESTIMATING TREE BOLE HEIGHT WITH BAYESIAN ANALYSIS.
Milios, Elias
Kitikidou, Kyriaki
http://orcid.org/0000-0003-3198-9387
Pipinis, Elias
Stampoulidis, Athanasios
Gotsi, Melina
Array
Aim of study: The classical method for estimating a height-diameter model is based on the Least Squares Method (LSM) and the fit of a regression line. The Bayesian method has an exclusive advantage, compared with the classical method, in that the parameters to be estimated are considered as random variables. In this study, the Simple Linear Regression (SLR) model and the Bayesian model were used to estimate bole height from breast height diameter. Area of study: We used data of the forest stands of Rhodope (north-eastern Greece). Materials and methods: The variables that we used were the tree bole height and the diameter at breast height. Main results: The results showed that there is an improvement in prediction accuracy with the Bayesian model; however, this didn't lead to narrower confidence intervals of the predicted value, compared to SLR. Research essentials: Narrower confidence intervals are not necessarily achieved with Bayesian methods; confidence intervals' width is related to both statistical analyses and nature of data (in this case, species ecology and structure - composition of the stands where the sampled trees belong).
Contemporary Journal Concept Press
2018-10-30 00:00:00
Peer-reviewed Papers on Growth and Mortality Dynamics
application/pdf
http://mcfns.com/index.php/Journal/article/view/10.12
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 10, No 2: MCFNS October 30, 2018
eng
Greece
Contemporary
Height; diameter.
Copyright (c) 2018 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/283
2023-10-20T02:45:29Z
Journal:GIS%2BRS
nmb a2200000Iu 4500
"210330 2021 eng "
1946-7664
dc
Spatial analysis of airborne laser scanning point clouds for predicting forest structure
Häbel, Henrike
Institute of Environmental Medicine, Karolinska Institutet
Balazs, Andras
Natural Resources Institute Finland (Luke)
Myllymäki, Mari
Natural Resources Institute Finland (Luke) http://orcid.org/0000-0002-2713-7088
Array
The spatial structure of forest, which can be understood as the arrangement of trees with respect to each other, plays a role in various forestry decisions. In this study the spatial structure is summarized by three different indices which were compared on the example of a study site with circular field plots with 9 m radius in Central Finland. The aim was to predict the indices by airborne laser scanning (ALS) and study usefulness of spatial or horizontal summaries of the ALS point cloud. Thus, in addition to commonly used vertical summaries of the point clouds, we explored summaries of the horizontal distribution of the pulse returns through canopy height models thresholded at different height levels. We used these summaries the well-known K-nn estimation method to predict the indices. In this study, we show that quantifying the spatial structure from small sample plots is challenging. Still, we present evidence that the use of spatial metrics improved the prediction of spatial structure of forests, and has potential for improvements possibly for also other variables related to gap structures.
Contemporary Journal Concept Press
2021-03-30 00:00:00
Peer-reviewed Spatial Analysis Papers
application/pdf
http://mcfns.com/index.php/Journal/article/view/13.2
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 13, No 1: MCFNS March 30, 2021
eng
http://mcfns.com/index.php/Journal/article/download/283/1814
http://mcfns.com/index.php/Journal/article/download/283/1815
http://mcfns.com/index.php/Journal/article/download/283/1816
http://mcfns.com/index.php/Journal/article/download/283/1817
http://mcfns.com/index.php/Journal/article/download/283/1818
Finland
2013
Forest structure indices
Copyright (c) 2021 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/313
2023-11-21T05:53:19Z
Journal:G%26Y%2BQS
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"231030 2023 eng "
1946-7664
dc
Alternative Method for Determining Trunk Diameter at Different Heights on a Standing Tree
Abishova, Madina H.
Department of Forestry, 450 Atatürk Street, Azerbaijan State Agricultural University, Ganja, AZ 2000, Republic of Azerbaijan.
Kard, Brad M.
Department of Entomology and Plant Pathology, 127 NRC, Oklahoma State University, Stillwater, Oklahoma 74078-3033, USA. https://orcid.org/0000-0002-8155-7964
Hasanov, Kamil H.
Department of Forestry, 450 Atatürk Street, Azerbaijan State Agricultural University, Ganja, AZ 2000, Republic of Azerbaijan.
Ismailov, Zohrab S.
Department of Forestry, 450 Atatürk Street, Azerbaijan State Agricultural University, Ganja, AZ 2000, Republic of Azerbaijan.
Bagirova, Aygun X.
Department of Forestry, 450 Atatürk Street, Azerbaijan State Agricultural University, Ganja, AZ 2000, Republic of Azerbaijan.
Shukurov, Valeh K.
Department of Forestry, 450 Atatürk Street, Azerbaijan State Agricultural University, Ganja, AZ 2000, Republic of Azerbaijan.
Babakishiyeva, Tarana S.
Department of Forestry, 450 Atatürk Street, Azerbaijan State Agricultural University, Ganja, AZ 2000, Republic of Azerbaijan.
Aliyev, Iqbal A.
Department of Forestry, 450 Atatürk Street, Azerbaijan State Agricultural University, Ganja, AZ 2000, Republic of Azerbaijan.
Hasanova, Sima Z.
Department of Forestry, 450 Atatürk Street, Azerbaijan State Agricultural University, Ganja, AZ 2000, Republic of Azerbaijan.
Hajiyeva, Jeyhuna A.
Department of Forestry, 450 Atatürk Street, Azerbaijan State Agricultural University, Ganja, AZ 2000, Republic of Azerbaijan.
Samadov, Vidadi S.
Department of Forestry, 450 Atatürk Street, Azerbaijan State Agricultural University, Ganja, AZ 2000, Republic of Azerbaijan. https://orcid.org/0000-0002-2797-7247
Array
Reliably determining trunk volume of a growing tree and accurately measuring changing diameters along the trunk at different heights are important data to foresters world-wide. Existing methods for determining trunk diameter of a growing tree assume the horizontal cross-section is a circle. However, to an observer standing beside a tree and looking upwards along the trunk, the imaginary cross-section of the trunk does not look like a circle but appears elliptical. As the observer stands closer to the tree and the higher the established point where the diameter of the trunk is measured, the elliptical shape of the cross-section becomes more pronounced. Conversely, the smaller the tree and the farther the observer stands from the tree, the imaginary cross-section of the trunk becomes more circular. In this paper we describe a method that makes it possible to accurately determine the diameter of a trunk regardless of the above two distance factors. Using the mathematical parameters of an ellipse, the objective of this study was to provide an accurate method to calculate the diameter at any height on the trunk.
Contemporary Journal Concept Press
2023-11-21 05:50:13
Peer-reviewed Papers on Growth and Mortality Dynamics
application/pdf
http://mcfns.com/index.php/Journal/article/view/15.5
Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS); Vol 15, No 2: MCFNS October 30, 2023
eng
Forest
Copyright (c) 2023 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)