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...

Full description

Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: Elsevier 2022-09-01
Series:Trees, Forests and People
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666719322001248
_version_ 1818085589539356672
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
work_keys_str_mv AT floramagdalinebenitezromero abovegroundbiomassallometricmodelsforlargetreesinsouthwesternamazonia
AT laercioantoniogoncalvesjacovine abovegroundbiomassallometricmodelsforlargetreesinsouthwesternamazonia
AT carlosmoreiramiquelinoeletotorres abovegroundbiomassallometricmodelsforlargetreesinsouthwesternamazonia
AT sabinacerrutoribeiro abovegroundbiomassallometricmodelsforlargetreesinsouthwesternamazonia
AT samueljosesilvasoaresdarocha abovegroundbiomassallometricmodelsforlargetreesinsouthwesternamazonia
AT thaisdenazareoliveiranovais abovegroundbiomassallometricmodelsforlargetreesinsouthwesternamazonia
AT ricardodeoliveiragaspar abovegroundbiomassallometricmodelsforlargetreesinsouthwesternamazonia
AT linikerfernandesdasilva abovegroundbiomassallometricmodelsforlargetreesinsouthwesternamazonia
AT edsonvidal abovegroundbiomassallometricmodelsforlargetreesinsouthwesternamazonia
AT heliogarcialeite abovegroundbiomassallometricmodelsforlargetreesinsouthwesternamazonia
AT christinalynnstaudhammer abovegroundbiomassallometricmodelsforlargetreesinsouthwesternamazonia
AT philipmartinfearnside abovegroundbiomassallometricmodelsforlargetreesinsouthwesternamazonia