Ítem


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

Director: Ministerio de Ciencia e Innovación (Espanya)
Autor: Goetz, Renan-Ulrich
Xabadia i Palmada, Àngels
Calvo, Elena
Resum: 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)
Accés al document: http://hdl.handle.net/2072/299148
Llenguatge: eng
Editor: Taylor and Francis
Drets: Tots els drets reservats
Matèria: Optimització matemàtica
Mathematical optimization
Boscos -- Gestió
Forest management
Anàlisi numèrica
Numerical analysis
Títol: Optimal forest management in the presence of intraspecific competition
Tipus: info:eu-repo/semantics/article
Repositori: Recercat

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