Modelos alométricos de biomassa aérea para Prosopis affinis Spreng. em florestas nativas Espinal da Argentina = Modelos alométricos de biomassa aérea para Prosopis affinis Spreng. em florestas nativas Espinal da Argentina
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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Format: | info:ar-repo/semantics/artículo biblioteca |
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Departamento de Engenharia Agrícola, Universidade Federal de Campina Grande
2019-06
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Subjects: | Prosopis affinis, Biomasa, Bosque Primario, Alometría, Fabaceae, Ecosistema, Argentina, Biomass, Primary Forests, Allometry, Ecosystems, Biomasa Aérea, Bosques Nativos, Espinal, |
Online Access: | http://hdl.handle.net/20.500.12123/14510 https://doi.org/10.1590/1807-1929/agriambi.v23n6p467-473 |
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Prosopis affinis Biomasa Bosque Primario Alometría Fabaceae Ecosistema Argentina Biomass Primary Forests Allometry Ecosystems Biomasa Aérea Bosques Nativos Espinal Prosopis affinis Biomasa Bosque Primario Alometría Fabaceae Ecosistema Argentina Biomass Primary Forests Allometry Ecosystems Biomasa Aérea Bosques Nativos Espinal |
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Prosopis affinis Biomasa Bosque Primario Alometría Fabaceae Ecosistema Argentina Biomass Primary Forests Allometry Ecosystems Biomasa Aérea Bosques Nativos Espinal Prosopis affinis Biomasa Bosque Primario Alometría Fabaceae Ecosistema Argentina Biomass Primary Forests Allometry Ecosystems Biomasa Aérea Bosques Nativos Espinal Sione, Silvana María José Andrade-Castañeda, Hernán J. Ledesma, Silvia Gabriela Rosenberger, Leandro Javier Oszust, José Daniel Wilson, Marcelo German Modelos alométricos de biomassa aérea para Prosopis affinis Spreng. em florestas nativas Espinal da Argentina = Modelos alométricos de biomassa aérea para Prosopis affinis Spreng. em florestas nativas Espinal da Argentina |
description |
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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info:ar-repo/semantics/artículo |
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Prosopis affinis Biomasa Bosque Primario Alometría Fabaceae Ecosistema Argentina Biomass Primary Forests Allometry Ecosystems Biomasa Aérea Bosques Nativos Espinal |
author |
Sione, Silvana María José Andrade-Castañeda, Hernán J. Ledesma, Silvia Gabriela Rosenberger, Leandro Javier Oszust, José Daniel Wilson, Marcelo German |
author_facet |
Sione, Silvana María José Andrade-Castañeda, Hernán J. Ledesma, Silvia Gabriela Rosenberger, Leandro Javier Oszust, José Daniel Wilson, Marcelo German |
author_sort |
Sione, Silvana María José |
title |
Modelos alométricos de biomassa aérea para Prosopis affinis Spreng. em florestas nativas Espinal da Argentina = Modelos alométricos de biomassa aérea para Prosopis affinis Spreng. em florestas nativas Espinal da Argentina |
title_short |
Modelos alométricos de biomassa aérea para Prosopis affinis Spreng. em florestas nativas Espinal da Argentina = Modelos alométricos de biomassa aérea para Prosopis affinis Spreng. em florestas nativas Espinal da Argentina |
title_full |
Modelos alométricos de biomassa aérea para Prosopis affinis Spreng. em florestas nativas Espinal da Argentina = Modelos alométricos de biomassa aérea para Prosopis affinis Spreng. em florestas nativas Espinal da Argentina |
title_fullStr |
Modelos alométricos de biomassa aérea para Prosopis affinis Spreng. em florestas nativas Espinal da Argentina = Modelos alométricos de biomassa aérea para Prosopis affinis Spreng. em florestas nativas Espinal da Argentina |
title_full_unstemmed |
Modelos alométricos de biomassa aérea para Prosopis affinis Spreng. em florestas nativas Espinal da Argentina = Modelos alométricos de biomassa aérea para Prosopis affinis Spreng. em florestas nativas Espinal da Argentina |
title_sort |
modelos alométricos de biomassa aérea para prosopis affinis spreng. em florestas nativas espinal da argentina = modelos alométricos de biomassa aérea para prosopis affinis spreng. em florestas nativas espinal da argentina |
publisher |
Departamento de Engenharia Agrícola, Universidade Federal de Campina Grande |
publishDate |
2019-06 |
url |
http://hdl.handle.net/20.500.12123/14510 https://doi.org/10.1590/1807-1929/agriambi.v23n6p467-473 |
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oai:localhost:20.500.12123-145102023-04-19T11:39:53Z Modelos alométricos de biomassa aérea para Prosopis affinis Spreng. em florestas nativas Espinal da Argentina = Modelos alométricos de biomassa aérea para Prosopis affinis Spreng. em florestas nativas Espinal da Argentina Sione, Silvana María José Andrade-Castañeda, Hernán J. Ledesma, Silvia Gabriela Rosenberger, Leandro Javier Oszust, José Daniel Wilson, Marcelo German Prosopis affinis Biomasa Bosque Primario Alometría Fabaceae Ecosistema Argentina Biomass Primary Forests Allometry Ecosystems Biomasa Aérea Bosques Nativos Espinal 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). A estimativa do carbono armazenado nos ecossistemas florestais requer ferramentas precisas para prever a biomassa. Objetivou-se nesse estudo determinar a biomassa aérea individual de Prosopis affinis e sua distribuição por componente; desenvolver modelos alométricos para prever a biomassa, e estimar os fatores de expansão da biomassa (FEB) em florestas nativas de Entre Ríos (Argentina). Foram medidas variáveis dasométricas em 30 indivíduos de diferentes classes de diâmetro e determinada a biomassa aérea total e por componente (tronco, ramos com mais de 5 cm de diámetro, e ramos menores que 5 cm + folhas, flores e frutos) pelo método destrutivo. A seleção dos modelos com melhor ajuste foi feita de acordo com o coeficiente de determinação ajustado (R2adj), o erro médio quadrático de predição, os Critérios de Informação de Akaike e Bayesiana e o Índice de Furnival. As variáveis área da copa, diâmetro à altura do peito e altura total são os melhores estimadores da biomassa aérea total e por componente de P. affinis. O modelo de variável única baseado no diâmetro basal tem uma capacidade preditiva elevada de biomassa aérea, resultando em uma ferramenta simples de grande praticidade. A FEB oscilou entre 2,28 e 4,90, sendo significativamente diferente entre as classes diamétricas. Os maiores valores corresponderam aos indivíduos com diâmetros de tronco maiores que 25 cm. Os modelos desenvolvidos neste trabalho apresentam elevada precisão (R2adj. ≥ 0,94) para a predição da biomassa aérea total de P. affinis, e podem ser aplicados na área de florestas nativas de Entre Ríos (Argentina). EEA Paraná Fil: Sione, Silvana María José. Universidad Nacional de Entre Ríos. Facultad de Ciencias Agropecuarias; Argentina Fil: Andrade-Castañeda, Hernán J. Universidad del Tolima. Facultad de Ingeniería Agronómica; Colombia Fil: Ledesma, Silvia Gabriela. Universidad Nacional de Entre Ríos. Facultad de Ciencias Agropecuarias; Argentina Fil: Rosenberger, Leandro Javier. Universidad Nacional de Entre Ríos. Facultad de Ciencias Agropecuarias; Argentina Fil: Oszust, José Daniel. Universidad Nacional de Entre Ríos. Facultad de Ciencias Agropecuarias; Argentina Fil: Wilson, Marcelo G. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Paraná; Argentina 2023-04-19T11:33:22Z 2023-04-19T11:33:22Z 2019-06 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/14510 1807-1929 1415-4366 https://doi.org/10.1590/1807-1929/agriambi.v23n6p467-473 eng info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf Entre Ríos .......... (province) (World, South America, Argentina) 1001237 Departamento de Engenharia Agrícola, Universidade Federal de Campina Grande Revista Brasileira de Engenharia Agrícola e Ambiental 23 (6) : 467-473. (2019) |