Optimal forest management in the presence of intraspecific competition
dc.contributor.author
dc.date.accessioned
2017-03-09T12:22:25Z
dc.date.available
2017-03-09T12:22:25Z
dc.date.issued
2011-07-01
dc.identifier.issn
0889-8480
dc.identifier.uri
dc.description.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
dc.description.sponsorship
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)
dc.format.mimetype
application/pdf
dc.language.iso
eng
dc.publisher
Taylor and Francis
dc.relation
info:eu-repo/grantAgreement/MICINN//ECO2010-17020/ES/LA GESTION DE LOS RECURSOS NATURALES Y EL CAMBIO CLIMATICO - POLITICAS DE MITIGACION Y ADAPTACION/
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Reproducció digital del document publicat a: http://dx.doi.org/10.1080/08898480.2011.589761
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© Mathematical Population Studies, 2011, vol. 18, núm. 3, p. 151-171
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Articles publicats (D-EC)
dc.rights
Tots els drets reservats
dc.subject
dc.title
Optimal forest management in the presence of intraspecific competition
dc.type
info:eu-repo/semantics/article
dc.rights.accessRights
info:eu-repo/semantics/embargoedAccess
dc.embargo.terms
Cap
dc.date.embargoEndDate
info:eu-repo/date/embargoEnd/2026-01-01
dc.type.version
info:eu-repo/semantics/publishedVersion
dc.identifier.doi
dc.identifier.idgrec
013015
dc.contributor.funder
dc.relation.ProjectAcronym
dc.identifier.eissn
1547-724X