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Optimal forest management in the presence of intraspecific competition

The Escalator Boxcar Train method is used to solve the distributed optimal control problems of forest management numerically. It takes into account intraspecific competition for scarce resources such as light, space, and nutrients during reproduction, growth, and mortality. It provides an alternative to gradient projection methods and Markov processes. It is implemented with standard software. The application is on the optimal forest management regime in the presence of intraspecific competition

The authors gratefully acknowledge the support of the Ministerio de Ciencia y Tecnología grant ECO2010-17020, and of the Government of Catalonia grants (XREPP, and 2009SGR189)

Taylor and Francis

Manager: Ministerio de Ciencia e Innovación (Espanya)
Author: Goetz, Renan-Ulrich
Xabadia i Palmada, Àngels
Calvo, Elena
Abstract: The Escalator Boxcar Train method is used to solve the distributed optimal control problems of forest management numerically. It takes into account intraspecific competition for scarce resources such as light, space, and nutrients during reproduction, growth, and mortality. It provides an alternative to gradient projection methods and Markov processes. It is implemented with standard software. The application is on the optimal forest management regime in the presence of intraspecific competition
The authors gratefully acknowledge the support of the Ministerio de Ciencia y Tecnología grant ECO2010-17020, and of the Government of Catalonia grants (XREPP, and 2009SGR189)
Document access: http://hdl.handle.net/2072/299148
Language: eng
Publisher: Taylor and Francis
Rights: Tots els drets reservats
Subject: Optimització matemàtica
Mathematical optimization
Boscos -- Gestió
Forest management
Anàlisi numèrica
Numerical analysis
Title: Optimal forest management in the presence of intraspecific competition
Type: info:eu-repo/semantics/article
Repository: Recercat

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