Aerial biomass allometric models for Prosopis affinis Spreng. in native Espinal forests of Argentina

Detalhes bibliográficos
Autor(a) principal: Sione,Silvana M. J.
Data de Publicação: 2019
Outros Autores: Andrade-Castañeda,Hernán J., Ledesma,Silvia G., Rosenberger,Leandro J., Oszust,José D., Wilson,Marcelo G.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662019000600467
Resumo: ABSTRACT Estimation of carbon stored in forest ecosystems requires accurate biomass prediction tools. The objective of this study was to determine the individual aerial biomass of Prosopis affinis and its distribution by component, to develop allometric models for the estimation of biomass and to estimate biomass expansion factors (BEF) in native forests of Entre Ríos (Argentina). Dendrometric variables on 30 individuals of different diameter classes were measured. Values of total aerial biomass and component biomass (trunk, branches larger than 5 cm in diameter and branches smaller than 5 cm + leaves, flowers and fruits) were determined using the destructive method. Different models were developed, and the best models were selected according to the adjusted coefficient of determination (R2adj), mean squared prediction error, the Akaike information and Bayesian information criteria and the Furnival index. The variables crown area, diameter at breast height and total height were the best estimators of total aerial biomass and component biomass of P. affinis. The single-variable model based on the basal diameter has a very good predictive capacity for total aerial biomass, resulting in a simple model of great practicality. The BEF was significantly different among diameter classes, with mean values between 2.28 and 4.90. The highest values corresponded to individuals with trunk diameters larger than 25 cm. The models developed in this work present high precision (R2adj. ≥ 0.94) for the prediction of total aerial biomass of P. affinis and can be applied in the native forest area of the province of Entre Ríos (Argentina).
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spelling Aerial biomass allometric models for Prosopis affinis Spreng. in native Espinal forests of Argentinacarbon reservoirecosystemsFabaceaeABSTRACT Estimation of carbon stored in forest ecosystems requires accurate biomass prediction tools. The objective of this study was to determine the individual aerial biomass of Prosopis affinis and its distribution by component, to develop allometric models for the estimation of biomass and to estimate biomass expansion factors (BEF) in native forests of Entre Ríos (Argentina). Dendrometric variables on 30 individuals of different diameter classes were measured. Values of total aerial biomass and component biomass (trunk, branches larger than 5 cm in diameter and branches smaller than 5 cm + leaves, flowers and fruits) were determined using the destructive method. Different models were developed, and the best models were selected according to the adjusted coefficient of determination (R2adj), mean squared prediction error, the Akaike information and Bayesian information criteria and the Furnival index. The variables crown area, diameter at breast height and total height were the best estimators of total aerial biomass and component biomass of P. affinis. The single-variable model based on the basal diameter has a very good predictive capacity for total aerial biomass, resulting in a simple model of great practicality. The BEF was significantly different among diameter classes, with mean values between 2.28 and 4.90. The highest values corresponded to individuals with trunk diameters larger than 25 cm. The models developed in this work present high precision (R2adj. ≥ 0.94) for the prediction of total aerial biomass of P. affinis and can be applied in the native forest area of the province of Entre Ríos (Argentina).Departamento de Engenharia Agrícola - UFCG2019-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662019000600467Revista Brasileira de Engenharia Agrícola e Ambiental v.23 n.6 2019reponame:Revista Brasileira de Engenharia Agrícola e Ambiental (Online)instname:Universidade Federal de Campina Grande (UFCG)instacron:UFCG10.1590/1807-1929/agriambi.v23n6p467-473info:eu-repo/semantics/openAccessSione,Silvana M. J.Andrade-Castañeda,Hernán J.Ledesma,Silvia G.Rosenberger,Leandro J.Oszust,José D.Wilson,Marcelo G.eng2019-06-27T00:00:00Zoai:scielo:S1415-43662019000600467Revistahttp://www.scielo.br/rbeaaPUBhttps://old.scielo.br/oai/scielo-oai.php||agriambi@agriambi.com.br1807-19291415-4366opendoar:2019-06-27T00:00Revista Brasileira de Engenharia Agrícola e Ambiental (Online) - Universidade Federal de Campina Grande (UFCG)false
dc.title.none.fl_str_mv Aerial biomass allometric models for Prosopis affinis Spreng. in native Espinal forests of Argentina
title Aerial biomass allometric models for Prosopis affinis Spreng. in native Espinal forests of Argentina
spellingShingle Aerial biomass allometric models for Prosopis affinis Spreng. in native Espinal forests of Argentina
Sione,Silvana M. J.
carbon reservoir
ecosystems
Fabaceae
title_short Aerial biomass allometric models for Prosopis affinis Spreng. in native Espinal forests of Argentina
title_full Aerial biomass allometric models for Prosopis affinis Spreng. in native Espinal forests of Argentina
title_fullStr Aerial biomass allometric models for Prosopis affinis Spreng. in native Espinal forests of Argentina
title_full_unstemmed Aerial biomass allometric models for Prosopis affinis Spreng. in native Espinal forests of Argentina
title_sort Aerial biomass allometric models for Prosopis affinis Spreng. in native Espinal forests of Argentina
author Sione,Silvana M. J.
author_facet Sione,Silvana M. J.
Andrade-Castañeda,Hernán J.
Ledesma,Silvia G.
Rosenberger,Leandro J.
Oszust,José D.
Wilson,Marcelo G.
author_role author
author2 Andrade-Castañeda,Hernán J.
Ledesma,Silvia G.
Rosenberger,Leandro J.
Oszust,José D.
Wilson,Marcelo G.
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Sione,Silvana M. J.
Andrade-Castañeda,Hernán J.
Ledesma,Silvia G.
Rosenberger,Leandro J.
Oszust,José D.
Wilson,Marcelo G.
dc.subject.por.fl_str_mv carbon reservoir
ecosystems
Fabaceae
topic carbon reservoir
ecosystems
Fabaceae
description ABSTRACT Estimation of carbon stored in forest ecosystems requires accurate biomass prediction tools. The objective of this study was to determine the individual aerial biomass of Prosopis affinis and its distribution by component, to develop allometric models for the estimation of biomass and to estimate biomass expansion factors (BEF) in native forests of Entre Ríos (Argentina). Dendrometric variables on 30 individuals of different diameter classes were measured. Values of total aerial biomass and component biomass (trunk, branches larger than 5 cm in diameter and branches smaller than 5 cm + leaves, flowers and fruits) were determined using the destructive method. Different models were developed, and the best models were selected according to the adjusted coefficient of determination (R2adj), mean squared prediction error, the Akaike information and Bayesian information criteria and the Furnival index. The variables crown area, diameter at breast height and total height were the best estimators of total aerial biomass and component biomass of P. affinis. The single-variable model based on the basal diameter has a very good predictive capacity for total aerial biomass, resulting in a simple model of great practicality. The BEF was significantly different among diameter classes, with mean values between 2.28 and 4.90. The highest values corresponded to individuals with trunk diameters larger than 25 cm. The models developed in this work present high precision (R2adj. ≥ 0.94) for the prediction of total aerial biomass of P. affinis and can be applied in the native forest area of the province of Entre Ríos (Argentina).
publishDate 2019
dc.date.none.fl_str_mv 2019-06-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662019000600467
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dc.language.iso.fl_str_mv eng
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dc.relation.none.fl_str_mv 10.1590/1807-1929/agriambi.v23n6p467-473
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dc.publisher.none.fl_str_mv Departamento de Engenharia Agrícola - UFCG
publisher.none.fl_str_mv Departamento de Engenharia Agrícola - UFCG
dc.source.none.fl_str_mv Revista Brasileira de Engenharia Agrícola e Ambiental v.23 n.6 2019
reponame:Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
instname:Universidade Federal de Campina Grande (UFCG)
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instname_str Universidade Federal de Campina Grande (UFCG)
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reponame_str Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
collection Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
repository.name.fl_str_mv Revista Brasileira de Engenharia Agrícola e Ambiental (Online) - Universidade Federal de Campina Grande (UFCG)
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