Allometric equations for estimating biomass of euterpe precatoria, the most abundant palm species in the Amazon

Detalhes bibliográficos
Autor(a) principal: Silva, Fernando da
Data de Publicação: 2015
Outros Autores: Suwa, Rempei, Kajimoto, Takuya, Ishizuka, Moriyoshi, Higuchi, Niro, Kunert, Norbert
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional do INPA
Texto Completo: https://repositorio.inpa.gov.br/handle/1/15934
Resumo: Allometric models to estimate biomass components such as stem mass Ms, foliage mass Ml, root mass Mr and aboveground mass Ma, were developed for the palm species Euterpe precatoria Mart., which is the most abundant tree species in the Amazon. We harvested twenty palms including above- and below-ground parts in an old growth Amazonian forest in Brazil. The diameter at breast height D ranged from 3.9-12.7 cm, and the stem height H ranged from 2.3-16.4 m. The D, diameter at ground basis D0, crown diameter CD, H, stem specific gravity ρ, and number of fronds Nf were considered as independent variables and incorporated into a power function model. The best predictors were D2Hρ for Ms and Ma, D2HNf for Ml, and D for Mr. Slender index (H/D) ranged from 0.56-1.46 m.cm-1, and the D-H relationship suggested that the stem shape becomes more slender with increasing D. On the other hand, ρ increased with D implying a stiffening of stem tissue. The average root/shoot ratio was estimated as 0.29 which was higher than that reported for the non-palm tree species in the Amazon. Comparisons of several models to estimate Ma of different palm species, suggested that the variations of the D-H relationship and ρ should be considered to develop allometric models for estimating biomass in palm species. In particular the ρ largely varied depending on individual size, which should be important to consider, when developing the allometric models for palms. © 2015 by the authors; licensee MDPI, Basel, Switzerland.
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spelling Silva, Fernando daSuwa, RempeiKajimoto, TakuyaIshizuka, MoriyoshiHiguchi, NiroKunert, Norbert2020-05-20T19:08:46Z2020-05-20T19:08:46Z2015https://repositorio.inpa.gov.br/handle/1/1593410.3390/f6020450Allometric models to estimate biomass components such as stem mass Ms, foliage mass Ml, root mass Mr and aboveground mass Ma, were developed for the palm species Euterpe precatoria Mart., which is the most abundant tree species in the Amazon. We harvested twenty palms including above- and below-ground parts in an old growth Amazonian forest in Brazil. The diameter at breast height D ranged from 3.9-12.7 cm, and the stem height H ranged from 2.3-16.4 m. The D, diameter at ground basis D0, crown diameter CD, H, stem specific gravity ρ, and number of fronds Nf were considered as independent variables and incorporated into a power function model. The best predictors were D2Hρ for Ms and Ma, D2HNf for Ml, and D for Mr. Slender index (H/D) ranged from 0.56-1.46 m.cm-1, and the D-H relationship suggested that the stem shape becomes more slender with increasing D. On the other hand, ρ increased with D implying a stiffening of stem tissue. The average root/shoot ratio was estimated as 0.29 which was higher than that reported for the non-palm tree species in the Amazon. Comparisons of several models to estimate Ma of different palm species, suggested that the variations of the D-H relationship and ρ should be considered to develop allometric models for estimating biomass in palm species. In particular the ρ largely varied depending on individual size, which should be important to consider, when developing the allometric models for palms. © 2015 by the authors; licensee MDPI, Basel, Switzerland.Volume 6, Número 2, Pags. 450-463Attribution-NonCommercial-NoDerivs 3.0 Brazilhttp://creativecommons.org/licenses/by-nc-nd/3.0/br/info:eu-repo/semantics/openAccessBiomassAllometric EquationsArecaceaeCarbon StocksDiameter-at-breast HeightsDimension AnalysisEuterpe Precatoria MartsIndependent VariablesTerra FirmeForestryAboveground BiomassAllometryBelowground BiomassEstimation MethodGrowth RateRoot/shoot RatioTreeBiomassBrasilForestsMathematical ModelsStemsAmazoniaBrasilArecaceaeEuterpe PrecatoriaAllometric equations for estimating biomass of euterpe precatoria, the most abundant palm species in the Amazoninfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleForestsengreponame:Repositório Institucional do INPAinstname:Instituto Nacional de Pesquisas da Amazônia (INPA)instacron:INPAORIGINALartigo-inpa.pdfartigo-inpa.pdfapplication/pdf567586https://repositorio.inpa.gov.br/bitstream/1/15934/1/artigo-inpa.pdf3c3c5da4f17395127f76b990ba3fedf9MD511/159342020-05-20 15:56:28.246oai:repositorio:1/15934Repositório de PublicaçõesPUBhttps://repositorio.inpa.gov.br/oai/requestopendoar:2020-05-20T19:56:28Repositório Institucional do INPA - Instituto Nacional de Pesquisas da Amazônia (INPA)false
dc.title.en.fl_str_mv Allometric equations for estimating biomass of euterpe precatoria, the most abundant palm species in the Amazon
title Allometric equations for estimating biomass of euterpe precatoria, the most abundant palm species in the Amazon
spellingShingle Allometric equations for estimating biomass of euterpe precatoria, the most abundant palm species in the Amazon
Silva, Fernando da
Biomass
Allometric Equations
Arecaceae
Carbon Stocks
Diameter-at-breast Heights
Dimension Analysis
Euterpe Precatoria Marts
Independent Variables
Terra Firme
Forestry
Aboveground Biomass
Allometry
Belowground Biomass
Estimation Method
Growth Rate
Root/shoot Ratio
Tree
Biomass
Brasil
Forests
Mathematical Models
Stems
Amazonia
Brasil
Arecaceae
Euterpe Precatoria
title_short Allometric equations for estimating biomass of euterpe precatoria, the most abundant palm species in the Amazon
title_full Allometric equations for estimating biomass of euterpe precatoria, the most abundant palm species in the Amazon
title_fullStr Allometric equations for estimating biomass of euterpe precatoria, the most abundant palm species in the Amazon
title_full_unstemmed Allometric equations for estimating biomass of euterpe precatoria, the most abundant palm species in the Amazon
title_sort Allometric equations for estimating biomass of euterpe precatoria, the most abundant palm species in the Amazon
author Silva, Fernando da
author_facet Silva, Fernando da
Suwa, Rempei
Kajimoto, Takuya
Ishizuka, Moriyoshi
Higuchi, Niro
Kunert, Norbert
author_role author
author2 Suwa, Rempei
Kajimoto, Takuya
Ishizuka, Moriyoshi
Higuchi, Niro
Kunert, Norbert
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Silva, Fernando da
Suwa, Rempei
Kajimoto, Takuya
Ishizuka, Moriyoshi
Higuchi, Niro
Kunert, Norbert
dc.subject.eng.fl_str_mv Biomass
Allometric Equations
Arecaceae
Carbon Stocks
Diameter-at-breast Heights
Dimension Analysis
Euterpe Precatoria Marts
Independent Variables
Terra Firme
Forestry
Aboveground Biomass
Allometry
Belowground Biomass
Estimation Method
Growth Rate
Root/shoot Ratio
Tree
Biomass
Brasil
Forests
Mathematical Models
Stems
Amazonia
Brasil
Arecaceae
Euterpe Precatoria
topic Biomass
Allometric Equations
Arecaceae
Carbon Stocks
Diameter-at-breast Heights
Dimension Analysis
Euterpe Precatoria Marts
Independent Variables
Terra Firme
Forestry
Aboveground Biomass
Allometry
Belowground Biomass
Estimation Method
Growth Rate
Root/shoot Ratio
Tree
Biomass
Brasil
Forests
Mathematical Models
Stems
Amazonia
Brasil
Arecaceae
Euterpe Precatoria
description Allometric models to estimate biomass components such as stem mass Ms, foliage mass Ml, root mass Mr and aboveground mass Ma, were developed for the palm species Euterpe precatoria Mart., which is the most abundant tree species in the Amazon. We harvested twenty palms including above- and below-ground parts in an old growth Amazonian forest in Brazil. The diameter at breast height D ranged from 3.9-12.7 cm, and the stem height H ranged from 2.3-16.4 m. The D, diameter at ground basis D0, crown diameter CD, H, stem specific gravity ρ, and number of fronds Nf were considered as independent variables and incorporated into a power function model. The best predictors were D2Hρ for Ms and Ma, D2HNf for Ml, and D for Mr. Slender index (H/D) ranged from 0.56-1.46 m.cm-1, and the D-H relationship suggested that the stem shape becomes more slender with increasing D. On the other hand, ρ increased with D implying a stiffening of stem tissue. The average root/shoot ratio was estimated as 0.29 which was higher than that reported for the non-palm tree species in the Amazon. Comparisons of several models to estimate Ma of different palm species, suggested that the variations of the D-H relationship and ρ should be considered to develop allometric models for estimating biomass in palm species. In particular the ρ largely varied depending on individual size, which should be important to consider, when developing the allometric models for palms. © 2015 by the authors; licensee MDPI, Basel, Switzerland.
publishDate 2015
dc.date.issued.fl_str_mv 2015
dc.date.accessioned.fl_str_mv 2020-05-20T19:08:46Z
dc.date.available.fl_str_mv 2020-05-20T19:08:46Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://repositorio.inpa.gov.br/handle/1/15934
dc.identifier.doi.none.fl_str_mv 10.3390/f6020450
url https://repositorio.inpa.gov.br/handle/1/15934
identifier_str_mv 10.3390/f6020450
dc.language.iso.fl_str_mv eng
language eng
dc.relation.ispartof.pt_BR.fl_str_mv Volume 6, Número 2, Pags. 450-463
dc.rights.driver.fl_str_mv Attribution-NonCommercial-NoDerivs 3.0 Brazil
http://creativecommons.org/licenses/by-nc-nd/3.0/br/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivs 3.0 Brazil
http://creativecommons.org/licenses/by-nc-nd/3.0/br/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Forests
publisher.none.fl_str_mv Forests
dc.source.none.fl_str_mv reponame:Repositório Institucional do INPA
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 Repositório Institucional do INPA
collection Repositório Institucional do INPA
bitstream.url.fl_str_mv https://repositorio.inpa.gov.br/bitstream/1/15934/1/artigo-inpa.pdf
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