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An Immune System Perspective on Ecosystem Management Ecology and Society
Janssen, Marco A; Indiana University; maajanss@indiana.edu.
A new perspective for studying the complex interactions between human activities and ecosystems is proposed. It is argued that biological immune systems share a number of similarities with ecological economic systems in terms of function. These similarities include the system's ability to recognize harmful invasions, design measures to control and destroy these invasions, and remember successful response strategies. Studying both the similarities and the differences between immune systems and ecological economic systems can provide new insights on ecosystem management.
Tipo: Peer-Reviewed Reports Palavras-chave: Adaptive systems; Artificial immune systems; Biological invasions; Ecological economic systems; Ecosystem management; Immune systems; Institutions; Models.
Ano: 2001
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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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