ALLOMETRIC MODELS TO ESTIMATE ABOVEGROUND BIOMASS OF SMALL TREES IN WET TROPICAL FORESTS OF COLOMBIAN PACIFIC AREA

Detalhes bibliográficos
Autor(a) principal: Segura,Milena A.
Data de Publicação: 2018
Outros Autores: Acuña,Luis Miguel, Andrade,Hernán J.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Árvore (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-67622018000200208
Resumo: ABSTRACT World wet tropical forests, and especially the ones in the Colombian Pacific area, are the target of a small tree (minor diameter) selective harvest process, used in short-cycle industries, such as bioenergy. This situation generates a reduction in stored carbon and biomass, and becomes an emission of greenhouse gases (GHG). Allometric models for aboveground biomass are few, despite being an important tool of carbon calculation. The goal of this study was to develop multi-species allometric models for small trees aboveground biomass in wet tropical forests. A total of 61 individuals (diameter at breast height -DBH- < 12 cm) was measured, cut and weighed to estimate their biomass. The model with the best adjustment was selected considering criteria of determination coefficient (R2) and adjusted R2, mean quadratic error of prediction, Akaike and Bayesian Information Criteria and the biological logic of the model. Best-fit allometric model (R2= 0,72) was with DBH and total height as independent variables, considering that it is a multi-species model coming from forests with a high diversity.
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spelling ALLOMETRIC MODELS TO ESTIMATE ABOVEGROUND BIOMASS OF SMALL TREES IN WET TROPICAL FORESTS OF COLOMBIAN PACIFIC AREAForest harvestCarbonMitigationABSTRACT World wet tropical forests, and especially the ones in the Colombian Pacific area, are the target of a small tree (minor diameter) selective harvest process, used in short-cycle industries, such as bioenergy. This situation generates a reduction in stored carbon and biomass, and becomes an emission of greenhouse gases (GHG). Allometric models for aboveground biomass are few, despite being an important tool of carbon calculation. The goal of this study was to develop multi-species allometric models for small trees aboveground biomass in wet tropical forests. A total of 61 individuals (diameter at breast height -DBH- < 12 cm) was measured, cut and weighed to estimate their biomass. The model with the best adjustment was selected considering criteria of determination coefficient (R2) and adjusted R2, mean quadratic error of prediction, Akaike and Bayesian Information Criteria and the biological logic of the model. Best-fit allometric model (R2= 0,72) was with DBH and total height as independent variables, considering that it is a multi-species model coming from forests with a high diversity.Sociedade de Investigações Florestais2018-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-67622018000200208Revista Árvore v.42 n.2 2018reponame:Revista Árvore (Online)instname:Universidade Federal de Viçosa (UFV)instacron:SIF10.1590/1806-90882018000200009info:eu-repo/semantics/openAccessSegura,Milena A.Acuña,Luis MiguelAndrade,Hernán J.eng2018-10-09T00:00:00Zoai:scielo:S0100-67622018000200208Revistahttp://www.scielo.br/revistas/rarv/iaboutj.htmPUBhttps://old.scielo.br/oai/scielo-oai.php||r.arvore@ufv.br1806-90880100-6762opendoar:2018-10-09T00:00Revista Árvore (Online) - Universidade Federal de Viçosa (UFV)false
dc.title.none.fl_str_mv ALLOMETRIC MODELS TO ESTIMATE ABOVEGROUND BIOMASS OF SMALL TREES IN WET TROPICAL FORESTS OF COLOMBIAN PACIFIC AREA
title ALLOMETRIC MODELS TO ESTIMATE ABOVEGROUND BIOMASS OF SMALL TREES IN WET TROPICAL FORESTS OF COLOMBIAN PACIFIC AREA
spellingShingle ALLOMETRIC MODELS TO ESTIMATE ABOVEGROUND BIOMASS OF SMALL TREES IN WET TROPICAL FORESTS OF COLOMBIAN PACIFIC AREA
Segura,Milena A.
Forest harvest
Carbon
Mitigation
title_short ALLOMETRIC MODELS TO ESTIMATE ABOVEGROUND BIOMASS OF SMALL TREES IN WET TROPICAL FORESTS OF COLOMBIAN PACIFIC AREA
title_full ALLOMETRIC MODELS TO ESTIMATE ABOVEGROUND BIOMASS OF SMALL TREES IN WET TROPICAL FORESTS OF COLOMBIAN PACIFIC AREA
title_fullStr ALLOMETRIC MODELS TO ESTIMATE ABOVEGROUND BIOMASS OF SMALL TREES IN WET TROPICAL FORESTS OF COLOMBIAN PACIFIC AREA
title_full_unstemmed ALLOMETRIC MODELS TO ESTIMATE ABOVEGROUND BIOMASS OF SMALL TREES IN WET TROPICAL FORESTS OF COLOMBIAN PACIFIC AREA
title_sort ALLOMETRIC MODELS TO ESTIMATE ABOVEGROUND BIOMASS OF SMALL TREES IN WET TROPICAL FORESTS OF COLOMBIAN PACIFIC AREA
author Segura,Milena A.
author_facet Segura,Milena A.
Acuña,Luis Miguel
Andrade,Hernán J.
author_role author
author2 Acuña,Luis Miguel
Andrade,Hernán J.
author2_role author
author
dc.contributor.author.fl_str_mv Segura,Milena A.
Acuña,Luis Miguel
Andrade,Hernán J.
dc.subject.por.fl_str_mv Forest harvest
Carbon
Mitigation
topic Forest harvest
Carbon
Mitigation
description ABSTRACT World wet tropical forests, and especially the ones in the Colombian Pacific area, are the target of a small tree (minor diameter) selective harvest process, used in short-cycle industries, such as bioenergy. This situation generates a reduction in stored carbon and biomass, and becomes an emission of greenhouse gases (GHG). Allometric models for aboveground biomass are few, despite being an important tool of carbon calculation. The goal of this study was to develop multi-species allometric models for small trees aboveground biomass in wet tropical forests. A total of 61 individuals (diameter at breast height -DBH- < 12 cm) was measured, cut and weighed to estimate their biomass. The model with the best adjustment was selected considering criteria of determination coefficient (R2) and adjusted R2, mean quadratic error of prediction, Akaike and Bayesian Information Criteria and the biological logic of the model. Best-fit allometric model (R2= 0,72) was with DBH and total height as independent variables, considering that it is a multi-species model coming from forests with a high diversity.
publishDate 2018
dc.date.none.fl_str_mv 2018-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-67622018000200208
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-67622018000200208
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1806-90882018000200009
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade de Investigações Florestais
publisher.none.fl_str_mv Sociedade de Investigações Florestais
dc.source.none.fl_str_mv Revista Árvore v.42 n.2 2018
reponame:Revista Árvore (Online)
instname:Universidade Federal de Viçosa (UFV)
instacron:SIF
instname_str Universidade Federal de Viçosa (UFV)
instacron_str SIF
institution SIF
reponame_str Revista Árvore (Online)
collection Revista Árvore (Online)
repository.name.fl_str_mv Revista Árvore (Online) - Universidade Federal de Viçosa (UFV)
repository.mail.fl_str_mv ||r.arvore@ufv.br
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