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| 15. |  | NOGUEIRA JUNIOR, L. R.; ENGEL, V. L.; PARROTTA, J. A.; MELO, A. C. G. de; RE, D. S. Allometric equations for estimating tree biomass in restored mixed-species Atlantic Forest stands. Biota Neotropica, São Paulo, v. 14, n. 2, p. 1-9, 2014.| Biblioteca(s): Embrapa Tabuleiros Costeiros. |
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| 16. | | PANDIT, R.; PARROTTA, J. A.; CHAUDHARY, A. K.; KARLEN, D. L.; VIEIRA, D. L. M.; ANKER, Y.; CHEN, R.; MORRIS, J.; HARRIS, J.; NTSHOTSHO, P. A framework to evaluate land degradation and restoration responses for improved planning and decision-making. Ecosystems and People, v. 16, n. 1, p. 1-18, 2020.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| Registros recuperados : 16 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Tabuleiros Costeiros. |
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Data corrente: |
02/12/2014 |
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Data da última atualização: |
02/12/2014 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 2 |
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Autoria: |
NOGUEIRA JUNIOR, L. R.; ENGEL, V. L.; PARROTTA, J. A.; MELO, A. C. G. de; RE, D. S. |
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Afiliação: |
LAURO RODRIGUES NOGUEIRA JUNIOR, CPATC. |
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Título: |
Allometric equations for estimating tree biomass in restored mixed-species Atlantic Forest stands. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
Biota Neotropica, São Paulo, v. 14, n. 2, p. 1-9, 2014. |
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ISSN: |
16760611 |
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Idioma: |
Inglês |
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Conteúdo: |
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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Palavras-Chave: |
Atlantic forest; Mata atlântica. |
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Thesagro: |
Biodiversidade; Carbono. |
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Thesaurus NAL: |
biodiversity; carbon. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/112873/1/Laurorodrigues.pdf
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Marc: |
LEADER 02128naa a2200253 a 4500
001 2001376
005 2014-12-02
008 2014 bl uuuu u00u1 u #d
022 $a16760611
100 1 $aNOGUEIRA JUNIOR, L. R.
245 $aAllometric equations for estimating tree biomass in restored mixed-species Atlantic Forest stands.$h[electronic resource]
260 $c2014
520 $aRestoration 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.
650 $abiodiversity
650 $acarbon
650 $aBiodiversidade
650 $aCarbono
653 $aAtlantic forest
653 $aMata atlântica
700 1 $aENGEL, V. L.
700 1 $aPARROTTA, J. A.
700 1 $aMELO, A. C. G. de
700 1 $aRE, D. S.
773 $tBiota Neotropica, São Paulo$gv. 14, n. 2, p. 1-9, 2014.
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