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
  • [31] Assessment of aboveground biomass and carbon stock of subtropical pine forest of Pakistan
    Ali, Nizar
    Saad, Muhammad
    Ali, Anwar
    Ahmad, Naveed
    Khan, Ishfaq Ahmad
    Ullah, Habib
    Imran, Areeba Binte
    JOURNAL OF FOREST SCIENCE, 2023, 69 (07) : 287 - 304
  • [32] Estimation of Aboveground Forest Biomass Carbon Stock by Satellite Remote Sensing
    Jung, Jaehoon
    Nguyen, Hieu Cong
    Heo, Joon
    Kim, Kyoungmin
    Im, Jungho
    KOREAN JOURNAL OF REMOTE SENSING, 2014, 30 (05) : 651 - 664
  • [33] Live above- and belowground biomass of a Mozambican evergreen forest: a comparison of estimates based on regression equations and biomass expansion factors
    Magalhaes, Tarquinio Mateus
    FOREST ECOSYSTEMS, 2015, 2
  • [34] Machine Learning: Volume and Biomass Estimates of Commercial Trees in the Amazon Forest
    da Rocha, Samuel Jose Silva Soares
    Romero, Flora Magdaline Benitez
    Torres, Carlos Moreira Miquelino Eleto
    Jacovine, Laercio Antonio Goncalves
    Ribeiro, Sabina Cerruto
    Villanova, Paulo Henrique
    Schettini, Bruno Leao Said
    de Morais Junior, Vicente Toledo Machado
    Reis, Leonardo Pequeno
    Rufino, Maria Paula Miranda Xavier
    Comini, Indira Bifano
    Tavares Junior, Ivaldo da Silva
    Viana, Aguida Beatriz Travaglia
    SUSTAINABILITY, 2023, 15 (12)
  • [35] Global estimates of carbon stock changes in living forest biomass: EDGARv4.3-time series from 1990 to 2010
    Petrescu, A. M. R.
    Abad-Vinas, R.
    Janssens-Maenhout, G.
    Blujdea, V. N. B.
    Grassi, G.
    BIOGEOSCIENCES, 2012, 9 (08) : 3437 - 3447
  • [36] Biomass collapse and carbon emissions from forest fragmentation in the Brazilian Amazon
    Numata, Izaya
    Cochrane, Mark A.
    Roberts, Dar A.
    Soares, Joao V.
    Souza, Carlos M., Jr.
    Sales, Marcio H.
    JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES, 2010, 115
  • [37] Allometric Equations for Volume, Biomass, and Carbon in Commercial Stems Harvested in a Managed Forest in the Southwestern Amazon: A Case Study
    Benitez Romero, Flora Magdaline
    Goncalves Jacovine, Laercio Antonio
    Ribeiro, Sabina Cerruto
    Miquelino Eleto Torres, Carlos Moreira
    da Silva, Liniker Fernandes
    Gaspar, Ricardo de Oliveira
    Silva Soares da Rocha, Samuel Jose
    Staudhammer, Christina Lynn
    Fearnside, Philip Martin
    FORESTS, 2020, 11 (08):
  • [38] Estimating carbon stock in lowland Papua New Guinean forest: Low density of large trees results in lower than global average carbon stock
    Peck, Mika Robert
    Kaina, Graham S.
    Hazell, Richard John
    Isua, Brus
    Alok, Clant
    Paul, Luda
    Stewart, Alan J. A.
    AUSTRAL ECOLOGY, 2017, 42 (08) : 964 - 975
  • [39] Tree allometric equations for estimation of above, below and total biomass in a tropical moist forest: Case study with application to remote sensing
    Djomo, Adrien N.
    Chimi, Cedric D.
    FOREST ECOLOGY AND MANAGEMENT, 2017, 391 : 184 - 193
  • [40] Spatial distribution of forest biomass carbon (Above and below ground) in Indian forests
    Rajashekar, Gopalakrishnan
    Fararoda, Rakesh
    Reddy, R. Suraj
    Jha, Chandra Shekhar
    Ganeshaiah, K. N.
    Singh, Jamuna Sharan
    Dadhwal, Vinay Kumar
    ECOLOGICAL INDICATORS, 2018, 85 : 742 - 752