Dynamic growth and yield model for Black pine stands in Spain

In a forestry context, modelling stand development over time relies on estimates of different stand characteristics obtained from equations which usually constitute a multivariate system. In this study we have developed a stand growth model for even-aged stands of Black pine (Pinus nigra Arn.) in Sp...

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Detalles Bibliográficos
Autores: Mora, J. V., Río, Miren del, Bravo-Oviedo, Andrés
Tipo de recurso: artículo
Fecha de publicación:2012
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/290947
Acceso en línea:http://hdl.handle.net/10261/290947
Access Level:acceso abierto
Palabra clave:Stand growth model
System of equations
Seemingly unrelated regression
Pinus nigra
Weibull distribution function
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spelling Dynamic growth and yield model for Black pine stands in SpainMora, J. V.Río, Miren delBravo-Oviedo, AndrésStand growth modelSystem of equationsSeemingly unrelated regressionPinus nigraWeibull distribution functionIn a forestry context, modelling stand development over time relies on estimates of different stand characteristics obtained from equations which usually constitute a multivariate system. In this study we have developed a stand growth model for even-aged stands of Black pine (Pinus nigra Arn.) in Spain. The 53 plots used to fit the equations came from the permanent sample plot network established by the Forest Research Centre (INIA) in 1963 and 1964 in the main distribution regions of Black pine. The model is made up of a system of equations to predict growth and yield in volume and basal area. In the fitting phase we took into account the correlation between the measurements within the same plot and the cross-equation residual correlations. The model incorporates a control function to estimate the thinning effect and a function for predicting the reduction in tree number due to regular mortality. In addition, we use the three parameter Weibull distribution function to estimate the number of trees in each diameter class by recovering the parameters using the moment method. The developed model is useful for simulating the evolution of even-aged stands with and without thinnings and allows the estimation of number of trees by diameter classes.Peer reviewedCSIC - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA)Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202320232012info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501http://hdl.handle.net/10261/290947reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)InglésSíinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2909472026-05-22T06:33:51Z
dc.title.none.fl_str_mv Dynamic growth and yield model for Black pine stands in Spain
title Dynamic growth and yield model for Black pine stands in Spain
spellingShingle Dynamic growth and yield model for Black pine stands in Spain
Mora, J. V.
Stand growth model
System of equations
Seemingly unrelated regression
Pinus nigra
Weibull distribution function
title_short Dynamic growth and yield model for Black pine stands in Spain
title_full Dynamic growth and yield model for Black pine stands in Spain
title_fullStr Dynamic growth and yield model for Black pine stands in Spain
title_full_unstemmed Dynamic growth and yield model for Black pine stands in Spain
title_sort Dynamic growth and yield model for Black pine stands in Spain
dc.creator.none.fl_str_mv Mora, J. V.
Río, Miren del
Bravo-Oviedo, Andrés
author Mora, J. V.
author_facet Mora, J. V.
Río, Miren del
Bravo-Oviedo, Andrés
author_role author
author2 Río, Miren del
Bravo-Oviedo, Andrés
author2_role author
author
dc.contributor.none.fl_str_mv Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Stand growth model
System of equations
Seemingly unrelated regression
Pinus nigra
Weibull distribution function
topic Stand growth model
System of equations
Seemingly unrelated regression
Pinus nigra
Weibull distribution function
description In a forestry context, modelling stand development over time relies on estimates of different stand characteristics obtained from equations which usually constitute a multivariate system. In this study we have developed a stand growth model for even-aged stands of Black pine (Pinus nigra Arn.) in Spain. The 53 plots used to fit the equations came from the permanent sample plot network established by the Forest Research Centre (INIA) in 1963 and 1964 in the main distribution regions of Black pine. The model is made up of a system of equations to predict growth and yield in volume and basal area. In the fitting phase we took into account the correlation between the measurements within the same plot and the cross-equation residual correlations. The model incorporates a control function to estimate the thinning effect and a function for predicting the reduction in tree number due to regular mortality. In addition, we use the three parameter Weibull distribution function to estimate the number of trees in each diameter class by recovering the parameters using the moment method. The developed model is useful for simulating the evolution of even-aged stands with and without thinnings and allows the estimation of number of trees by diameter classes.
publishDate 2012
dc.date.none.fl_str_mv 2012
2023
2023
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/290947
url http://hdl.handle.net/10261/290947
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv CSIC - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA)
publisher.none.fl_str_mv CSIC - Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA)
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,811543

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