Aboveground biomass allometric models for large trees in southwestern Amazonia
Most of the basal area in Amazon forest is in large trees, many of which are species of interest for forest management. In forest management these trees are divided into the commercial bole that is harvested for wood production and the stump and crown that are left in the forest where they decompose...
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Format: | Article |
Language: | English |
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Elsevier
2022-09-01
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Series: | Trees, Forests and People |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2666719322001248 |
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author | Flora Magdaline Benitez Romero Laércio Antônio Gonçalves Jacovine Carlos Moreira Miquelino Eleto Torres Sabina Cerruto Ribeiro Samuel José Silva Soares da Rocha Thais de Nazaré Oliveira Novais Ricardo de Oliveira Gaspar Liniker Fernandes da Silva Edson Vidal Helio Garcia Leite Christina Lynn Staudhammer Philip Martin Fearnside |
author_facet | Flora Magdaline Benitez Romero Laércio Antônio Gonçalves Jacovine Carlos Moreira Miquelino Eleto Torres Sabina Cerruto Ribeiro Samuel José Silva Soares da Rocha Thais de Nazaré Oliveira Novais Ricardo de Oliveira Gaspar Liniker Fernandes da Silva Edson Vidal Helio Garcia Leite Christina Lynn Staudhammer Philip Martin Fearnside |
author_sort | Flora Magdaline Benitez Romero |
collection | DOAJ |
description | Most of the basal area in Amazon forest is in large trees, many of which are species of interest for forest management. In forest management these trees are divided into the commercial bole that is harvested for wood production and the stump and crown that are left in the forest where they decompose and emit CO2 over a period of years. Part of the commercial bole is converted to wood products that store carbon according to their durability. The quantification of these components is difficult due to their size, especially in the case of the crown, which causes uncertainties in the estimates of biomass and carbon. Our study estimated the aboveground biomass and carbon of 223 trees and subsequently fit allometric equations to these estimates. Aboveground biomass was calculated from stem volume, wood density and a biomass expansion factor, while total carbon stock estimates used carbon content determined in the laboratory. Linear models (log-transformed) were tested to derive the best-fit allometric model for total aboveground biomass and carbon. The best-fit allometric models used squared tree diameter, tree height, and wood density for biomass, whereas the best carbon model also used carbon content. Our models were more efficient in estimating biomass than were frequently used regional and pan-tropical models. Our equations allow reducing the errors in estimates of forest biomass and carbon stocks, in addition to allowing estimation of the amount of carbon emitted after harvest, although the other models also had good fits and can be used according to the criteria of each researcher and the availability of data. |
first_indexed | 2024-12-10T20:12:11Z |
format | Article |
id | doaj.art-24489ec375c74eb0a24d2d30d4cd91c6 |
institution | Directory Open Access Journal |
issn | 2666-7193 |
language | English |
last_indexed | 2024-12-10T20:12:11Z |
publishDate | 2022-09-01 |
publisher | Elsevier |
record_format | Article |
series | Trees, Forests and People |
spelling | doaj.art-24489ec375c74eb0a24d2d30d4cd91c62022-12-22T01:35:16ZengElsevierTrees, Forests and People2666-71932022-09-019100317Aboveground biomass allometric models for large trees in southwestern AmazoniaFlora Magdaline Benitez Romero0Laércio Antônio Gonçalves Jacovine1Carlos Moreira Miquelino Eleto Torres2Sabina Cerruto Ribeiro3Samuel José Silva Soares da Rocha4Thais de Nazaré Oliveira Novais5Ricardo de Oliveira Gaspar6Liniker Fernandes da Silva7Edson Vidal8Helio Garcia Leite9Christina Lynn Staudhammer10Philip Martin Fearnside11Instituto Nacional de Pesquisas da Amazônia (INPA), Manaus, Amazonas, BrazilDepartamento de Engenharia Florestal, Universidade Federal de Viçosa (UFV), Viçosa, Minas Gerais, BrazilDepartamento de Engenharia Florestal, Universidade Federal de Viçosa (UFV), Viçosa, Minas Gerais, BrazilCentro de Ciências Biológicas e da Natureza, Universidade Federal do Acre (UFAC), Rio Branco, Acre, BrazilInstituto Nacional de Pesquisas da Amazônia (INPA), Manaus, Amazonas, Brazil; Departamento de Engenharia Florestal, Universidade Federal de Viçosa (UFV), Viçosa, Minas Gerais, Brazil; Centro de Ciências Biológicas e da Natureza, Universidade Federal do Acre (UFAC), Rio Branco, Acre, Brazil; Departamento de Engenharia Florestal, Faculdade de Tecnologia, Universidade de Brasília (UnB), Campus Darcy Ribeiro, Brasília, Distrito Federal, Brazil; Departamento de Engenharia Florestal, Universidade Federal do Recôncavo da Bahia (UFRB), Cruz das Almas, Bahia, Brazil; Departamento de Ciências Florestais, Escola Superior de Agricultura “Luiz de Queiroz”, Universidade de São Paulo (USP), Piracicaba, São Paulo, Brazil; Department of Biological Sciences, University of Alabama (UA), Tuscaloosa, AL, USA; Brazilian Research Network on Global Climate Change (Rede Clima), São José dos Campos, São Paulo, Brazil; Departamento de Ciências Florestais, Universidade Federal de Lavras (UFLA), Lavras, Minas Gerais, Brazil.Instituto Nacional de Pesquisas da Amazônia (INPA), Manaus, Amazonas, BrazilDepartamento de Engenharia Florestal, Faculdade de Tecnologia, Universidade de Brasília (UnB), Campus Darcy Ribeiro, Brasília, Distrito Federal, BrazilDepartamento de Engenharia Florestal, Universidade Federal do Recôncavo da Bahia (UFRB), Cruz das Almas, Bahia, BrazilDepartamento de Ciências Florestais, Escola Superior de Agricultura “Luiz de Queiroz”, Universidade de São Paulo (USP), Piracicaba, São Paulo, BrazilDepartamento de Engenharia Florestal, Universidade Federal de Viçosa (UFV), Viçosa, Minas Gerais, BrazilDepartment of Biological Sciences, University of Alabama (UA), Tuscaloosa, AL, USAInstituto Nacional de Pesquisas da Amazônia (INPA), Manaus, Amazonas, Brazil; Brazilian Research Network on Global Climate Change (Rede Clima), São José dos Campos, São Paulo, Brazil; Corresponding author at: Instituto Nacional de Pesquisas da Amazônia (INPA), Manaus, Amazonas, Brazil.Most of the basal area in Amazon forest is in large trees, many of which are species of interest for forest management. In forest management these trees are divided into the commercial bole that is harvested for wood production and the stump and crown that are left in the forest where they decompose and emit CO2 over a period of years. Part of the commercial bole is converted to wood products that store carbon according to their durability. The quantification of these components is difficult due to their size, especially in the case of the crown, which causes uncertainties in the estimates of biomass and carbon. Our study estimated the aboveground biomass and carbon of 223 trees and subsequently fit allometric equations to these estimates. Aboveground biomass was calculated from stem volume, wood density and a biomass expansion factor, while total carbon stock estimates used carbon content determined in the laboratory. Linear models (log-transformed) were tested to derive the best-fit allometric model for total aboveground biomass and carbon. The best-fit allometric models used squared tree diameter, tree height, and wood density for biomass, whereas the best carbon model also used carbon content. Our models were more efficient in estimating biomass than were frequently used regional and pan-tropical models. Our equations allow reducing the errors in estimates of forest biomass and carbon stocks, in addition to allowing estimation of the amount of carbon emitted after harvest, although the other models also had good fits and can be used according to the criteria of each researcher and the availability of data.http://www.sciencedirect.com/science/article/pii/S2666719322001248BrazilAcreAmazon forestTropical forestForest managementCarbon stock |
spellingShingle | Flora Magdaline Benitez Romero Laércio Antônio Gonçalves Jacovine Carlos Moreira Miquelino Eleto Torres Sabina Cerruto Ribeiro Samuel José Silva Soares da Rocha Thais de Nazaré Oliveira Novais Ricardo de Oliveira Gaspar Liniker Fernandes da Silva Edson Vidal Helio Garcia Leite Christina Lynn Staudhammer Philip Martin Fearnside Aboveground biomass allometric models for large trees in southwestern Amazonia Trees, Forests and People Brazil Acre Amazon forest Tropical forest Forest management Carbon stock |
title | Aboveground biomass allometric models for large trees in southwestern Amazonia |
title_full | Aboveground biomass allometric models for large trees in southwestern Amazonia |
title_fullStr | Aboveground biomass allometric models for large trees in southwestern Amazonia |
title_full_unstemmed | Aboveground biomass allometric models for large trees in southwestern Amazonia |
title_short | Aboveground biomass allometric models for large trees in southwestern Amazonia |
title_sort | aboveground biomass allometric models for large trees in southwestern amazonia |
topic | Brazil Acre Amazon forest Tropical forest Forest management Carbon stock |
url | http://www.sciencedirect.com/science/article/pii/S2666719322001248 |
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