2024-03-28T22:36:27Z
http://mcfns.com/index.php/Journal/oai
oai:ojs.mcfns.com:article/296
2021-12-09T02:55:17Z
Journal:Software
INGROWTH IMPUTATION IN EVEN-AGED PERMANENT SAMPLE PLOTS
Garcia, Oscar
Mensuration, Growth and Yield, Inventory, Biometrics,
Missing data, truncation, forest growth and yield, data processing, tree mea- surements, R language.
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
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Computational Works
Computer software
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; 1-4(4)
1946-7664
eng
http://mcfns.com/index.php/Journal/article/view/13.5/2021.5
Global
Contemporary
Diameters and other tree measurements.
Copyright (c) 2021 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
https://creativecommons.org/licenses/by-nc-nd/4.0
oai:ojs.mcfns.com:article/17
2023-10-19T13:36:49Z
Journal:Software
Trends in spatial forest planning
Shan, Yong
Bettinger, Pete
Cieszewski, Chris J
Li, Rongxia Tiffany
Forest planning
Spatial forest planning, Mathematical programming, Heuristics, Modeling techniques, GIS
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
Warnell School of Forestry and Natural Resources, University of Georgia
2009-08-28
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Computational Works
Review Article
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; Pages: 86-112 (27)
1946-7664
eng
http://mcfns.com/index.php/Journal/article/view/MCFNS.1-86/MCFNS-1%3A86_PDF
http://mcfns.com/index.php/Journal/article/view/MCFNS.1-86/MCFNS-1%3A86_PS
http://mcfns.com/index.php/Journal/article/view/MCFNS.1-86/MCFNS-1%3A86_TEX
http://mcfns.com/index.php/Journal/article/downloadSuppFile/MCFNS.1-86/21
http://mcfns.com/index.php/Journal/article/downloadSuppFile/MCFNS.1-86/22
http://mcfns.com/index.php/Journal/article/downloadSuppFile/MCFNS.1-86/23
http://mcfns.com/index.php/Journal/article/downloadSuppFile/MCFNS.1-86/24
http://mcfns.com/index.php/Journal/article/downloadSuppFile/MCFNS.1-86/25
http://mcfns.com/index.php/Journal/article/downloadSuppFile/MCFNS.1-86/26
http://mcfns.com/index.php/Journal/article/downloadSuppFile/MCFNS.1-86/27
Worldwide
Last two decades
Age
oai:ojs.mcfns.com:article/181
2021-04-14T18:19:23Z
Journal:Software
A generic approach to spatial individual-based modelling and simulation of plant communities
Garcia, Oscar
Growth and Yield
individual-tree, spatially explicit, growth, competition, asymmetry, R, siplab
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
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Computational Works
Growth and yield software development
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; 36-47 (12)
1946-7664
eng
http://mcfns.com/index.php/Journal/article/view/6_36/Garcia
http://mcfns.com/index.php/Journal/article/view/6_36/data
http://mcfns.com/index.php/Journal/article/downloadSuppFile/6_36/179
Temporal forests
Contemporary
Forest inventory data
oai:ojs.mcfns.com:article/196
2023-10-19T15:23:30Z
Journal:Software
A software tool for accurate assessment of costs and CO2 emissions in wood transport using OpenStreetMap©
Pérez-RodrÃguez, Fernando
Nunes, LuÃs
Azevedo, João
Computational application
Forest logistics; Transportation; Biomass; Road analysing; Open Geographical Data
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
SIMWOOD project (Sustainable Innovative Mobilisation of Wood), EU FP7 Collaborative Project 2013-2017 Grant Agreement No. 613762.
2016-03-30
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Computational Works
C++ programming
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; 35-53(19)
1946-7664
eng
http://mcfns.com/index.php/Journal/article/view/MCFNS.8.35/8.35
Brazil
Contemporary
Simulation data
Copyright (c) 2016 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/213
2021-04-14T18:16:54Z
Journal:Software
Spatiotemporal Data Modelling for Chinese Forest Geo-Entity Sub-compartment
Xia, Kai
GIS, spatio temporal data model, forest management
spatiotemporal data model; sequence states with no fixed frequency; forest resource; forest management, history tree, space-time cube
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
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
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; 1-10 (10)
1946-7664
eng
http://mcfns.com/index.php/Journal/article/view/8.0/8_1
Copyright (c) 2016 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
oai:ojs.mcfns.com:article/271
2023-10-20T02:46:50Z
Journal:Software
An Integrated System for Estimating Forest Basal Area from Spherical Images
Wang, Haozhou
Kershaw, John A.
Yang, Ting-Ru
Hsu, Yung-Han
Ma, Xu
Chen, Yingbing
Mensuration
panorama images; digital camera; forest inventory; remote sensing; horizontal point sampling
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
National Science and Engineering Research Council of Canada
Discovery Grants program, the Province of Newfoundland
Labrador Centre for Forest Science and Innovation Contribution Agreement
the New Brunswick Innovation Foundation Research Assistants Init
2020-04-20
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Computational Works
Angle Sampling
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; 1-15(15)
1946-7664
eng
http://mcfns.com/index.php/Journal/article/view/12.1/2020.1
North-East America
2017
Copyright (c) 2020 Mathematical and Computational Forestry & Natural-Resource Sciences (MCFNS)
https://creativecommons.org/licenses/by-nc-nd/4.0