Biomass Equations and Carbon Stock Estimates for the Southeastern Brazilian Atlantic Forest

被引:0
作者
Gaui, Tatiana Dias [1 ]
Cysneiros, Vinicius Costa [2 ]
de Souza, Fernanda Coelho [3 ]
de Souza, Hallefy Junio [1 ]
Silveira Filho, Telmo Borges [4 ]
Carvalho, Daniel Costa de [1 ]
Pace, Jose Henrique Camargo [1 ]
Vidaurre, Graziela Baptista [5 ]
Miguel, Eder Pereira [1 ]
机构
[1] Univ Brasilia, Dept Forestry, Campus Darcy Ribeiro, BR-70910900 Brasilia, Brazil
[2] Univ Fed Santa Catarina, Dept Agr Biodivers & Forests, Campus Curitibanos, Curitibanos, Brazil
[3] BeZero Carbon, London E1 6JE, England
[4] Fed Rural Univ Rio Janeiro, Dept Environm Sci, BR-23890000 Seropedica, Brazil
[5] Univ Fed Espirito Santo, Dept Forestry & Wood, BR-29550000 Jeronimo Monteiro, Brazil
来源
FORESTS | 2024年 / 15卷 / 09期
关键词
allometric equations; tropical forests; national forest inventory; non-destructive methods; aboveground biomass; MODELS; DEFORESTATION; EMISSIONS; SERVICES; DENSITY; PAYMENT; MAP;
D O I
10.3390/f15091568
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
Tropical forests play an important role in mitigating global climate change, emphasizing the need for reliable estimates of forest carbon stocks at regional and global scales. This is essential for effective carbon management, which involves strategies like emission reduction and enhanced carbon sequestration through forest restoration and conservation. However, reliable sample-based estimations of forest carbon stocks require accurate allometric equations, which are lacking for the rainforests of the Atlantic Forest Domain (AFD). In this study, we fitted biomass equations for the three main AFD forest types and accurately estimated the amount of carbon stored in their above-ground biomass (AGB) in Rio de Janeiro state, Brazil. Using non-destructive methods, we measured the total wood volume and wood density of 172 trees from the most abundant species in the main remnants of rainforest, semideciduous forest, and restinga forest in the state. The biomass and carbon stocks were estimated with tree-level data from 185 plots obtained in the National Forest Inventory conducted in Rio de Janeiro. Our locally developed allometric equations estimated the state's biomass stocks at 70.8 +/- 5.4 Mg ha-1 and carbon stocks at 35.4 +/- 2.7 Mg ha-1. Notably, our estimates were more accurate than those obtained using a widely applied pantropical allometric equation from the literature, which tended to overestimate biomass and carbon stocks. These findings can be used for establishing a baseline for monitoring carbon stocks in the Atlantic Forest, especially in the context of the growing voluntary carbon market, which demands more consistent and accurate carbon stock estimations.
引用
收藏
页数:19
相关论文
共 50 条
  • [21] Necromass Carbon Stock in a Secondary Atlantic Forest Fragment in Brazil
    Villanova, Paulo Henrique
    Miquelino Eleto Torres, Carlos Moreira
    Goncalves Jacovine, Laercio Antonio
    Boechat Soares, Carlos Pedro
    da Silva, Liniker Fernandes
    Said Schettini, Bruno Leao
    Silva Soares da Rocha, Samuel Jose
    Zanuncio, Jose Cola
    FORESTS, 2019, 10 (10):
  • [22] Aboveground Carbon Stock in a Bottomland Hardwood Forest in the Southeastern United States
    Streeter, Jared R.
    Bhattacharjee, Joydeep
    Kandel, Bibek
    FORESTS, 2023, 14 (05):
  • [23] Stock of biomass and carbon in the montane mixes shade forest, Parana
    Watzlawick, Luciano Farinha
    Winckler Caldeira, Marcos Vinicius
    Viera, Marcio
    Schumacher, Mauro Valdir
    Godinho, Tiago de Oliveira
    Babinot, Rafaelo
    SCIENTIA FORESTALIS, 2012, 40 (95): : 353 - 362
  • [24] USE OF DESTRUCTIVE AND NON-DESTRUCTIVE METHODOLOGIES TO ESTIMATE STEM BIOMASS ACCUMULATION AND CARBON STOCK IN AN EUCALYPTUS FOREST
    Said Schettini, Bruno Leao
    Goncalves Jacovine, Laercio Antonio
    Miquelino Eleto Torres, Carlos Moreira
    Oliveira Carneiro, Angelica de Cassia
    Oliveira Castro, Renato Vinicius
    Villanova, Paulo Henrique
    Silva Soares da Rocha, Samuel Jose
    Miranda Xavier Rufino, Maria Paula
    de Oliveira Neto, Silvio Nolasco
    Machado de Morais Junior, Vicente Toledo
    REVISTA ARVORE, 2022, 46
  • [25] Potential aboveground biomass increase in Brazilian Atlantic Forest fragments with climate change
    Ferreira, Igor Jose Malfetoni
    Campanharo, Wesley Augusto
    Fonseca, Marisa Gesteira
    Escada, Maria Isabel Sobral
    Nascimento, Marcelo Trindade
    Villela, Dora M.
    Brancalion, Pedro
    Magnago, Luiz Fernando Silva
    Anderson, Liana Oighenstein
    Nagy, Laszlo
    Aragao, Luiz E. O. C.
    GLOBAL CHANGE BIOLOGY, 2023, 29 (11) : 3098 - 3113
  • [26] Consequences of alternative tree-level biomass estimation procedures on U.S. forest carbon stock estimates
    Domke, Grant M.
    Woodall, Christopher W.
    Smith, James E.
    Westfall, James A.
    McRoberts, Ronald E.
    FOREST ECOLOGY AND MANAGEMENT, 2012, 270 : 108 - 116
  • [27] ASSESSMENT OF TREE BIOMASS CARBON STOCK OF A SUBTROPICAL SCRUB FOREST, SOAN VALLEY PAKISTAN
    Ghafoor, G. Z.
    Sharif, F.
    Khan, A. U.
    Shahzad, L.
    Hayyat, M. U.
    APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH, 2020, 18 (02): : 2231 - 2245
  • [28] A review of forest and tree plantation biomass equations in Indonesia
    Anitha, Kamalakumari
    Verchot, Louis V.
    Joseph, Shijo
    Herold, Martin
    Manuri, Solichin
    Avitabile, Valerio
    ANNALS OF FOREST SCIENCE, 2015, 72 (08) : 981 - 997
  • [29] Allometric equations for estimating tree biomass in restored mixed-species Atlantic Forest stands
    Nogueira Junior, Lauro Rodrigues
    Engel, Vera Lex
    Parrotta, John A.
    Galvao de Melo, Antonio Carlos
    Re, Danilo Scorzoni
    BIOTA NEOTROPICA, 2014, 14 (02):
  • [30] Simulated annealing in feature selection approach for modelling aboveground carbon stock at the transition between Brazilian Savanna and Atlantic Forest biomes
    Araujo, Lais Almeida
    Leite e Lopes, Isaira
    Oliveira, Rafael Menali
    Godinho Silva, Sergio Henrique
    Jarochinski e Silva, Carolina Souza
    Gomide, Lucas Rezende
    ANNALS OF FOREST RESEARCH, 2022, 65 (01) : 47 - 63