2024-03-28T13:43:12Z
http://mcfns.com/index.php/Journal/oai
oai:ojs.mcfns.com:article/68
2013-03-21T23:09:01Z
Journal:SSAFR
2009 Symposium on Systems Analysis in Forest Resources
McDill, Marc E
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
2010-02-17
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
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; Pages: 41-42 (2)
1946-7664
eng
http://mcfns.com/index.php/Journal/article/view/MCFNS.2-41/MCFNS_2%3A41-42
oai:ojs.mcfns.com:article/72
2011-04-16T22:55:08Z
Journal:SSAFR
ECOSEL: An Auction Mechanism for Forest Ecosystem Services
Tóth, Sándor F.
Ettl, Gregory J.
Rabotyagov, Sergey S.
forest management science and economics
multi-objective optimization, integer programming, public good provisions, auctions
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
National Institute of Food and Agriculture grants WNZ-1327, WNZ-1381 and WNZ-1398
2010-08-09
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Papers on System Analysis
multi-objective optimization, game theory and auctions
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; Pages: 99-116 (18)
1946-7664
eng
http://mcfns.com/index.php/Journal/article/view/MCFNS.2-99/MCFNS-2%3A99
Pacific Northwest
Future
Bids
oai:ojs.mcfns.com:article/45
2011-04-16T22:55:51Z
Journal:SSAFR
A Hierarchical Timber Allocation Model to Analyze Sustainable Forest Management Decisions
Marinescu, Marian V.
Maness, Thomas C
Forest Operations, Forest Management
multi-criteria, optimization
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
2010-08-21
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Papers on System Analysis
Hierarchical Planning, Goal Integer Programming
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; Pages: 117-134 (18)
1946-7664
eng
http://mcfns.com/index.php/Journal/article/view/MCFNS.2-117/MCFNS-2%3A117
Province of British Columbia, Canada
oai:ojs.mcfns.com:article/97
2013-03-21T23:13:25Z
Journal:SSAFR
The Second Special Section of articles from the 2009 Symposium on Systems Analysis in Forest Resources
McDill, Marc E
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
2010-08-22
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
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; Pages: 97-98 (2)
1946-7664
eng
http://mcfns.com/index.php/Journal/article/view/MCFNS.2-31/MCFNS-2%3A97
oai:ojs.mcfns.com:article/35
2011-04-16T23:08:21Z
Journal:SSAFR
An overview of methods for incorporating wildfires into forest planning models
Bettinger, Pete
Planning
Operations research; linear programming; binary search; dynamic programming; simulation; heuristics
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
2010-02-12
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Papers on System Analysis
Literature review
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; Pages: 43-52 (10)
1946-7664
eng
http://mcfns.com/index.php/Journal/article/view/MCFNS.2-43/MCFNS_2%3A43-52
North America
1970-present
Published research
oai:ojs.mcfns.com:article/39
2013-06-18T13:33:17Z
Journal:SSAFR
Comparisons of three different methods used to generate forest landscapes for spatial harvest scheduling problems with adjacency restrictions
Li, Rongxia Tiffany
Bettinger, Pete
Weiskittel, Aaron
Forest planning
Simulation; Voronoi diagrams; random graphs; grids; adjacency constraints
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
2010-02-12
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Papers on System Analysis
Mixed integer programming
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; Pages: 53-60 (8)
1946-7664
eng
http://mcfns.com/index.php/Journal/article/view/MCFNS.2-53/MCFNS_2%3A53-60
United States
Year
Ownership