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A Toolkit Modeling Approach for Sustainable Forest Management Planning: Achieving Balance between Science and Local Needs Ecology and Society
Sturtevant, Brian R.; Northern Research Station, U.S. Forest Service; bsturtevant@fs.fed.us; Fall, Andrew; Gowlland Technologies Ltd; fall@cs.sfu.ca; Simon, Neal P. P.; Newfoundland and Labrador Department of Natural Resources; nealsimon@gov.nl.ca; Morgan, Don G.; British Columbia Ministry of Forests; Don.Morgan@gems7.gov.bc.ca.
Tipo: Peer-Reviewed Reports Palavras-chave: Decision support; Ecosystem management; Forest sustainability; Interdisciplinary modeling; Land planning; Participatory modeling; Scaling.
Ano: 2007
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Crossing Scales and Disciplines to Achieve Forest Sustainability Ecology and Society
Sturtevant, Brian; Institute for Applied Ecosystems Studies, Northern Research Station, US Forest Service; bsturtevant@fs.fed.us.
Tipo: Peer-Reviewed Synthesis Palavras-chave: Decision support; Ecosystem management; Forest sustainability; Interdisciplinary modeling; Land planning; Participatory modeling; Scaling; Sustainable forest management..
Ano: 2008
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Approximating optimal numerical solutions to bio-economic systems: How useful is simulation-optimization? AgEcon
Börner, Jan; Higgins, Steven Ian; Scheiter, Simon; Kantelhardt, Jochen.
For applications in agricultural economics, complex ecological systems are often oversimplified to the extent that ecologists rarely consider model results valid. Recursive optimization of complex systems represents an alternative, but requires strong assumptions regarding time preference and uncertainty. In this paper we explore the implications of merely approximating “true” optima of complex dynamic optimization problems using a technique called simulation-optimization. We develop a standard discrete renewable resource use problem and solve it numerically using both simulation-optimization and non-linear mathematical programming. We subsequently introduce non-linearity and uncertainty and graphically compare the performance of simulation-optimization...
Tipo: Conference Paper or Presentation Palavras-chave: Optimal control; Simulation; Ecological economic systems; Interdisciplinary modeling; Environmental Economics and Policy; Research Methods/ Statistical Methods.
Ano: 2009 URL: http://purl.umn.edu/51407
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