Modelling Pinus biomass growth and yield

Detalhes bibliográficos
Autor(a) principal: Schikowski, Ana Beatriz
Data de Publicação: 2013
Outros Autores: Corte, Ana Paula Dalla, Sanquetta, Carlos Roberto
Tipo de documento: Artigo
Idioma: por
Título da fonte: Pesquisa Florestal Brasileira (Online)
Texto Completo: https://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/503
Resumo: This study aimed to test mathematical models for estimating of Pinus spp. biomass of different compartments,using easily measuring variables. The data were collected from plantations located in central Paraná state, Brazil. The data were obtained from total and partial dry weights of 35 trees of Pinus spp. , obtained using direct destructive methods. CBH (circumference at breast height) and total height were measured for each tree sampled. The models for estimating leaves dry weight were not satisfactory, verified by adjusted indicators. However, for branches, roots, bark, stem and total biomass the resulted equations provided reliable estimative for all models tested, with high R² values and low Syx% . Richards growth model presented the best adjustment among the other models tested to estimate total biomass.
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spelling Modelling Pinus biomass growth and yieldModelagem do crescimento e de biomassa individual de PinusDry weightEstimativeCompartmentsPeso secoEstimativaCompartimentosThis study aimed to test mathematical models for estimating of Pinus spp. biomass of different compartments,using easily measuring variables. The data were collected from plantations located in central Paraná state, Brazil. The data were obtained from total and partial dry weights of 35 trees of Pinus spp. , obtained using direct destructive methods. CBH (circumference at breast height) and total height were measured for each tree sampled. The models for estimating leaves dry weight were not satisfactory, verified by adjusted indicators. However, for branches, roots, bark, stem and total biomass the resulted equations provided reliable estimative for all models tested, with high R² values and low Syx% . Richards growth model presented the best adjustment among the other models tested to estimate total biomass.Este estudo tem como objetivo testar modelos matemáticos para estimativas de biomassa de diferentes compartimentos de Pinus spp., a partir de variáveis de fácil mensuração. Os dados utilizados são provenientes de plantios localizados no centro sul do estado do Paraná. Foram utilizados dados de peso seco total e parcial de 35 árvores de Pinus spp., obtidos por meio do método destrutivo direto. De cada árvore amostrada foram medidos também o CAP (circunferência à altura do peito) e a altura total. Os modelos para estimativa de biomassa de folhagem não apresentaram bom desempenho, verificado pelos indicadores de ajuste. Entretanto, para os compartimentos: galhos, raízes, casca, fuste e para biomassa total, os ajustes apresentaram elevados valores de R² e baixos valores de Syx%. O modelo de crescimento de Richards obteve melhor desempenho que os demais testados para a estimativa da biomassa total.Embrapa Florestas2013-09-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/50310.4336/2013.pfb.33.75.503Pesquisa Florestal Brasileira; v. 33 n. 75 (2013): jul./set.; 269-278Pesquisa Florestal Brasileira; Vol. 33 No. 75 (2013): jul./set.; 269-2781983-26051809-3647reponame:Pesquisa Florestal Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/503/326Schikowski, Ana BeatrizCorte, Ana Paula DallaSanquetta, Carlos Robertoinfo:eu-repo/semantics/openAccess2017-04-28T12:50:27Zoai:pfb.cnpf.embrapa.br/pfb:article/503Revistahttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/PUBhttps://pfb.cnpf.embrapa.br/pfb/index.php/pfb/oaipfb@embrapa.br || revista.pfb@gmail.com || patricia.mattos@embrapa.br1983-26051809-3647opendoar:2017-04-28T12:50:27Pesquisa Florestal Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Modelling Pinus biomass growth and yield
Modelagem do crescimento e de biomassa individual de Pinus
title Modelling Pinus biomass growth and yield
spellingShingle Modelling Pinus biomass growth and yield
Schikowski, Ana Beatriz
Dry weight
Estimative
Compartments
Peso seco
Estimativa
Compartimentos
title_short Modelling Pinus biomass growth and yield
title_full Modelling Pinus biomass growth and yield
title_fullStr Modelling Pinus biomass growth and yield
title_full_unstemmed Modelling Pinus biomass growth and yield
title_sort Modelling Pinus biomass growth and yield
author Schikowski, Ana Beatriz
author_facet Schikowski, Ana Beatriz
Corte, Ana Paula Dalla
Sanquetta, Carlos Roberto
author_role author
author2 Corte, Ana Paula Dalla
Sanquetta, Carlos Roberto
author2_role author
author
dc.contributor.author.fl_str_mv Schikowski, Ana Beatriz
Corte, Ana Paula Dalla
Sanquetta, Carlos Roberto
dc.subject.por.fl_str_mv Dry weight
Estimative
Compartments
Peso seco
Estimativa
Compartimentos
topic Dry weight
Estimative
Compartments
Peso seco
Estimativa
Compartimentos
description This study aimed to test mathematical models for estimating of Pinus spp. biomass of different compartments,using easily measuring variables. The data were collected from plantations located in central Paraná state, Brazil. The data were obtained from total and partial dry weights of 35 trees of Pinus spp. , obtained using direct destructive methods. CBH (circumference at breast height) and total height were measured for each tree sampled. The models for estimating leaves dry weight were not satisfactory, verified by adjusted indicators. However, for branches, roots, bark, stem and total biomass the resulted equations provided reliable estimative for all models tested, with high R² values and low Syx% . Richards growth model presented the best adjustment among the other models tested to estimate total biomass.
publishDate 2013
dc.date.none.fl_str_mv 2013-09-30
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/503
10.4336/2013.pfb.33.75.503
url https://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/503
identifier_str_mv 10.4336/2013.pfb.33.75.503
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://pfb.cnpf.embrapa.br/pfb/index.php/pfb/article/view/503/326
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Embrapa Florestas
publisher.none.fl_str_mv Embrapa Florestas
dc.source.none.fl_str_mv Pesquisa Florestal Brasileira; v. 33 n. 75 (2013): jul./set.; 269-278
Pesquisa Florestal Brasileira; Vol. 33 No. 75 (2013): jul./set.; 269-278
1983-2605
1809-3647
reponame:Pesquisa Florestal Brasileira (Online)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Pesquisa Florestal Brasileira (Online)
collection Pesquisa Florestal Brasileira (Online)
repository.name.fl_str_mv Pesquisa Florestal Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv pfb@embrapa.br || revista.pfb@gmail.com || patricia.mattos@embrapa.br
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