2026-04-20T00:22:54Zhttps://recercat.cat/oai/requestoai:recercat.cat:10256/137242024-06-18T11:11:39Zcom_2072_452955com_2072_2054col_2072_452964
RECERCAT
author
Goetz, Renan-Ulrich
author
Xabadia i Palmada, Àngels
author
Calvo, Elena
2024-06-18T11:11:39Z
2024-06-18T11:11:39Z
info:eu-repo/date/embargoEnd/2026-01-01info:eu-repo/date/embargoEnd/2026-01-012011-07-01
http://hdl.handle.net/10256/13724
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 competitionThe 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)
Tots els drets reservats info:eu-repo/semantics/embargoedAccess
Optimització matemàtica
Mathematical optimization
Boscos -- Gestió
Forest management
Anàlisi numèrica
Numerical analysis
Optimal forest management in the presence of intraspecific competition
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion