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

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 São 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.

Saved in:
Bibliographic Details
Main Authors: Nogueira Júnior,Lauro Rodrigues, Engel,Vera Lex, Parrotta,John A., Melo,Antonio Carlos Galvão de, Ré,Danilo Scorzoni
Format: Digital revista
Language:English
Published: Instituto Virtual da Biodiversidade | BIOTA - FAPESP 2014
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1676-06032014000200110
Tags: Add Tag
No Tags, Be the first to tag this record!
id oai:scielo:S1676-06032014000200110
record_format ojs
spelling oai:scielo:S1676-060320140002001102015-12-04Allometric equations for estimating tree biomass in restored mixed-species Atlantic Forest standsNogueira Júnior,Lauro RodriguesEngel,Vera LexParrotta,John A.Melo,Antonio Carlos Galvão deRé,Danilo Scorzoni Above-ground biomass Below-ground biomass Biomass equation Tree allometry Atlantic Forest Restoration 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 São 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.info:eu-repo/semantics/openAccessInstituto Virtual da Biodiversidade | BIOTA - FAPESPBiota Neotropica v.14 n.2 20142014-01-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1676-06032014000200110en10.1590/1676-06032013008413
institution SCIELO
collection OJS
country Brasil
countrycode BR
component Revista
access En linea
databasecode rev-scielo-br
tag revista
region America del Sur
libraryname SciELO
language English
format Digital
author Nogueira Júnior,Lauro Rodrigues
Engel,Vera Lex
Parrotta,John A.
Melo,Antonio Carlos Galvão de
Ré,Danilo Scorzoni
spellingShingle Nogueira Júnior,Lauro Rodrigues
Engel,Vera Lex
Parrotta,John A.
Melo,Antonio Carlos Galvão de
Ré,Danilo Scorzoni
Allometric equations for estimating tree biomass in restored mixed-species Atlantic Forest stands
author_facet Nogueira Júnior,Lauro Rodrigues
Engel,Vera Lex
Parrotta,John A.
Melo,Antonio Carlos Galvão de
Ré,Danilo Scorzoni
author_sort Nogueira Júnior,Lauro Rodrigues
title Allometric equations for estimating tree biomass in restored mixed-species Atlantic Forest stands
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
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 São 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.
publisher Instituto Virtual da Biodiversidade | BIOTA - FAPESP
publishDate 2014
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1676-06032014000200110
work_keys_str_mv AT nogueirajuniorlaurorodrigues allometricequationsforestimatingtreebiomassinrestoredmixedspeciesatlanticforeststands
AT engelveralex allometricequationsforestimatingtreebiomassinrestoredmixedspeciesatlanticforeststands
AT parrottajohna allometricequationsforestimatingtreebiomassinrestoredmixedspeciesatlanticforeststands
AT meloantoniocarlosgalvaode allometricequationsforestimatingtreebiomassinrestoredmixedspeciesatlanticforeststands
AT redaniloscorzoni allometricequationsforestimatingtreebiomassinrestoredmixedspeciesatlanticforeststands
_version_ 1756427297398718464