Biomass equations for forest regrowth in the eastern Amazon using randomized branch sampling

Detalhes bibliográficos
Autor(a) principal: Ducey,Mark Jonathan
Data de Publicação: 2009
Outros Autores: Zarin,Daniel Jacob, Vasconcelos,Steel Silva, Araújo,Maristela Machado
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Acta Amazonica
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0044-59672009000200013
Resumo: Forest regrowth occupies an extensive and increasing area in the Amazon basin, but accurate assessment of the impact of regrowth on carbon and nutrient cycles has been hampered by a paucity of available allometric equations. We develop pooled and species-specific equations for total aboveground biomass for a study site in the eastern Amazon that had been abandoned for 15 years. Field work was conducted using randomized branch sampling, a rapid technique that has seen little use in tropical forests. High consistency of sample paths in randomized branch sampling, as measured by the standard error of individual paths (14%), suggests the method may provide substantial efficiencies when compared to traditional procedures. The best fitting equations in this study used the traditional form Y=a×DBHb, where Y is biomass, DBH is diameter at breast height, and a and b are both species-specific parameters. Species-specific equations of the form Y=a(BA×H), where Y is biomass, BA is tree basal area, H is tree height, and a is a species-specific parameter, fit almost as well. Comparison with previously published equations indicated errors from -33% to +29% would have occurred using off-site relationships. We also present equations for stemwood, twigs, and foliage as biomass components.
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spelling Biomass equations for forest regrowth in the eastern Amazon using randomized branch samplingAllometryAllometric equationsSecondary growthTropical forestForest regrowth occupies an extensive and increasing area in the Amazon basin, but accurate assessment of the impact of regrowth on carbon and nutrient cycles has been hampered by a paucity of available allometric equations. We develop pooled and species-specific equations for total aboveground biomass for a study site in the eastern Amazon that had been abandoned for 15 years. Field work was conducted using randomized branch sampling, a rapid technique that has seen little use in tropical forests. High consistency of sample paths in randomized branch sampling, as measured by the standard error of individual paths (14%), suggests the method may provide substantial efficiencies when compared to traditional procedures. The best fitting equations in this study used the traditional form Y=a×DBHb, where Y is biomass, DBH is diameter at breast height, and a and b are both species-specific parameters. Species-specific equations of the form Y=a(BA×H), where Y is biomass, BA is tree basal area, H is tree height, and a is a species-specific parameter, fit almost as well. Comparison with previously published equations indicated errors from -33% to +29% would have occurred using off-site relationships. We also present equations for stemwood, twigs, and foliage as biomass components.Instituto Nacional de Pesquisas da Amazônia2009-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0044-59672009000200013Acta Amazonica v.39 n.2 2009reponame:Acta Amazonicainstname:Instituto Nacional de Pesquisas da Amazônia (INPA)instacron:INPA10.1590/S0044-59672009000200013info:eu-repo/semantics/openAccessDucey,Mark JonathanZarin,Daniel JacobVasconcelos,Steel SilvaAraújo,Maristela Machadoeng2009-08-11T00:00:00Zoai:scielo:S0044-59672009000200013Revistahttps://acta.inpa.gov.br/PUBhttps://old.scielo.br/oai/scielo-oai.phpacta@inpa.gov.br||acta@inpa.gov.br1809-43920044-5967opendoar:2009-08-11T00:00Acta Amazonica - Instituto Nacional de Pesquisas da Amazônia (INPA)false
dc.title.none.fl_str_mv Biomass equations for forest regrowth in the eastern Amazon using randomized branch sampling
title Biomass equations for forest regrowth in the eastern Amazon using randomized branch sampling
spellingShingle Biomass equations for forest regrowth in the eastern Amazon using randomized branch sampling
Ducey,Mark Jonathan
Allometry
Allometric equations
Secondary growth
Tropical forest
title_short Biomass equations for forest regrowth in the eastern Amazon using randomized branch sampling
title_full Biomass equations for forest regrowth in the eastern Amazon using randomized branch sampling
title_fullStr Biomass equations for forest regrowth in the eastern Amazon using randomized branch sampling
title_full_unstemmed Biomass equations for forest regrowth in the eastern Amazon using randomized branch sampling
title_sort Biomass equations for forest regrowth in the eastern Amazon using randomized branch sampling
author Ducey,Mark Jonathan
author_facet Ducey,Mark Jonathan
Zarin,Daniel Jacob
Vasconcelos,Steel Silva
Araújo,Maristela Machado
author_role author
author2 Zarin,Daniel Jacob
Vasconcelos,Steel Silva
Araújo,Maristela Machado
author2_role author
author
author
dc.contributor.author.fl_str_mv Ducey,Mark Jonathan
Zarin,Daniel Jacob
Vasconcelos,Steel Silva
Araújo,Maristela Machado
dc.subject.por.fl_str_mv Allometry
Allometric equations
Secondary growth
Tropical forest
topic Allometry
Allometric equations
Secondary growth
Tropical forest
description Forest regrowth occupies an extensive and increasing area in the Amazon basin, but accurate assessment of the impact of regrowth on carbon and nutrient cycles has been hampered by a paucity of available allometric equations. We develop pooled and species-specific equations for total aboveground biomass for a study site in the eastern Amazon that had been abandoned for 15 years. Field work was conducted using randomized branch sampling, a rapid technique that has seen little use in tropical forests. High consistency of sample paths in randomized branch sampling, as measured by the standard error of individual paths (14%), suggests the method may provide substantial efficiencies when compared to traditional procedures. The best fitting equations in this study used the traditional form Y=a×DBHb, where Y is biomass, DBH is diameter at breast height, and a and b are both species-specific parameters. Species-specific equations of the form Y=a(BA×H), where Y is biomass, BA is tree basal area, H is tree height, and a is a species-specific parameter, fit almost as well. Comparison with previously published equations indicated errors from -33% to +29% would have occurred using off-site relationships. We also present equations for stemwood, twigs, and foliage as biomass components.
publishDate 2009
dc.date.none.fl_str_mv 2009-01-01
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=S0044-59672009000200013
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0044-59672009000200013
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0044-59672009000200013
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 Instituto Nacional de Pesquisas da Amazônia
publisher.none.fl_str_mv Instituto Nacional de Pesquisas da Amazônia
dc.source.none.fl_str_mv Acta Amazonica v.39 n.2 2009
reponame:Acta Amazonica
instname:Instituto Nacional de Pesquisas da Amazônia (INPA)
instacron:INPA
instname_str Instituto Nacional de Pesquisas da Amazônia (INPA)
instacron_str INPA
institution INPA
reponame_str Acta Amazonica
collection Acta Amazonica
repository.name.fl_str_mv Acta Amazonica - Instituto Nacional de Pesquisas da Amazônia (INPA)
repository.mail.fl_str_mv acta@inpa.gov.br||acta@inpa.gov.br
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