Allometric equations for estimating tree biomass in restored mixed-species Atlantic Forest stands.

Detalhes bibliográficos
Autor(a) principal: NOGUEIRA JUNIOR, L. R.
Data de Publicação: 2014
Outros Autores: ENGEL, V. L., PARROTTA, J. A., MELO, A. C. G. de, RE, D. S.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1001376
Resumo: Restoration of Atlantic Forests is receiving increasing attention because of its role in both biodiversity conservation and carbon sequestration for global climate change mitigation. This study was carried out in an Atlantic Forest restoration project in the south-central region of Sã o Paulo State ??Brazil to develop allometric equations to estimate tree biomass of indigenous tree species in mixed plantations. Above and below-ground biomass (AGB and BGB, respectively), stem diameter (DBH: diameter at 1.3 m height), tree height (H: total height) and specific wood density (WD) were measured for 60 trees of 19 species. Different biomass equations (linear and nonlinear-transformed) were adjusted to estimate AGB and BGB as a function of DBH, H and WD. For estimating AGB and BGB, the linear biomass equation models were the least accurate. The transformed nonlinear biomass equation that used log DBH2, log H and log WD as predictor variables were the most accurate for AGB and the transformed nonlinear biomass equations that used log DBH2*WD as predictor variables were the most accurate for BGB. It is concluded that these adjusted equations can be used to estimate the AGB and BGB in areas of the studied project. The adjusted equations can be recommended for use elsewhere in the region for forest stands of similar age, tree size ranges, species composition and site characteristics.
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spelling Allometric equations for estimating tree biomass in restored mixed-species Atlantic Forest stands.Atlantic forestMata atlânticaBiodiversidadeCarbonobiodiversitycarbonRestoration of Atlantic Forests is receiving increasing attention because of its role in both biodiversity conservation and carbon sequestration for global climate change mitigation. This study was carried out in an Atlantic Forest restoration project in the south-central region of Sã o Paulo State ??Brazil to develop allometric equations to estimate tree biomass of indigenous tree species in mixed plantations. Above and below-ground biomass (AGB and BGB, respectively), stem diameter (DBH: diameter at 1.3 m height), tree height (H: total height) and specific wood density (WD) were measured for 60 trees of 19 species. Different biomass equations (linear and nonlinear-transformed) were adjusted to estimate AGB and BGB as a function of DBH, H and WD. For estimating AGB and BGB, the linear biomass equation models were the least accurate. The transformed nonlinear biomass equation that used log DBH2, log H and log WD as predictor variables were the most accurate for AGB and the transformed nonlinear biomass equations that used log DBH2*WD as predictor variables were the most accurate for BGB. It is concluded that these adjusted equations can be used to estimate the AGB and BGB in areas of the studied project. The adjusted equations can be recommended for use elsewhere in the region for forest stands of similar age, tree size ranges, species composition and site characteristics.LAURO RODRIGUES NOGUEIRA JUNIOR, CPATC.NOGUEIRA JUNIOR, L. R.ENGEL, V. L.PARROTTA, J. A.MELO, A. C. G. deRE, D. S.2014-12-02T11:11:11Z2014-12-02T11:11:11Z2014-12-0220142014-12-02T11:11:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleBiota Neotropica, São Paulo, v. 14, n. 2, p. 1-9, 2014.16760611http://www.alice.cnptia.embrapa.br/alice/handle/doc/1001376enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2017-08-16T00:42:33Zoai:www.alice.cnptia.embrapa.br:doc/1001376Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542017-08-16T00:42:33falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542017-08-16T00:42:33Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Allometric equations for estimating tree biomass in restored mixed-species Atlantic Forest stands.
title Allometric equations for estimating tree biomass in restored mixed-species Atlantic Forest stands.
spellingShingle Allometric equations for estimating tree biomass in restored mixed-species Atlantic Forest stands.
NOGUEIRA JUNIOR, L. R.
Atlantic forest
Mata atlântica
Biodiversidade
Carbono
biodiversity
carbon
title_short Allometric equations for estimating tree biomass in restored mixed-species Atlantic Forest stands.
title_full Allometric equations for estimating tree biomass in restored mixed-species Atlantic Forest stands.
title_fullStr Allometric equations for estimating tree biomass in restored mixed-species Atlantic Forest stands.
title_full_unstemmed Allometric equations for estimating tree biomass in restored mixed-species Atlantic Forest stands.
title_sort Allometric equations for estimating tree biomass in restored mixed-species Atlantic Forest stands.
author NOGUEIRA JUNIOR, L. R.
author_facet NOGUEIRA JUNIOR, L. R.
ENGEL, V. L.
PARROTTA, J. A.
MELO, A. C. G. de
RE, D. S.
author_role author
author2 ENGEL, V. L.
PARROTTA, J. A.
MELO, A. C. G. de
RE, D. S.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv LAURO RODRIGUES NOGUEIRA JUNIOR, CPATC.
dc.contributor.author.fl_str_mv NOGUEIRA JUNIOR, L. R.
ENGEL, V. L.
PARROTTA, J. A.
MELO, A. C. G. de
RE, D. S.
dc.subject.por.fl_str_mv Atlantic forest
Mata atlântica
Biodiversidade
Carbono
biodiversity
carbon
topic Atlantic forest
Mata atlântica
Biodiversidade
Carbono
biodiversity
carbon
description Restoration of Atlantic Forests is receiving increasing attention because of its role in both biodiversity conservation and carbon sequestration for global climate change mitigation. This study was carried out in an Atlantic Forest restoration project in the south-central region of Sã o Paulo State ??Brazil to develop allometric equations to estimate tree biomass of indigenous tree species in mixed plantations. Above and below-ground biomass (AGB and BGB, respectively), stem diameter (DBH: diameter at 1.3 m height), tree height (H: total height) and specific wood density (WD) were measured for 60 trees of 19 species. Different biomass equations (linear and nonlinear-transformed) were adjusted to estimate AGB and BGB as a function of DBH, H and WD. For estimating AGB and BGB, the linear biomass equation models were the least accurate. The transformed nonlinear biomass equation that used log DBH2, log H and log WD as predictor variables were the most accurate for AGB and the transformed nonlinear biomass equations that used log DBH2*WD as predictor variables were the most accurate for BGB. It is concluded that these adjusted equations can be used to estimate the AGB and BGB in areas of the studied project. The adjusted equations can be recommended for use elsewhere in the region for forest stands of similar age, tree size ranges, species composition and site characteristics.
publishDate 2014
dc.date.none.fl_str_mv 2014-12-02T11:11:11Z
2014-12-02T11:11:11Z
2014-12-02
2014
2014-12-02T11:11:11Z
dc.type.driver.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv Biota Neotropica, São Paulo, v. 14, n. 2, p. 1-9, 2014.
16760611
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1001376
identifier_str_mv Biota Neotropica, São Paulo, v. 14, n. 2, p. 1-9, 2014.
16760611
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1001376
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
collection Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
repository.name.fl_str_mv Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv cg-riaa@embrapa.br
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