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Mapping the stock and spatial distribution of aboveground woody biomass in the native vegetation of the Brazilian Cerrado biome

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posted on 2024-03-05, 14:41 authored by B Zimbres, P Rodríguez-Veiga, JZ Shimbo, P da Conceição Bispo, H Balzter, M Bustamante, I Roitman, R Haidar, S Miranda, L Gomes, F Alvim Carvalho, E Lenza, L Maracahipes-Santos, AC Abadia, JA do Prado Júnior, EL Mendonça Machado, AP Dias Gonzaga, M de Castro Nunes Santos Terra, JM de Mello, JR Soares Scolforo, JR Rodrigues Pinto, A Alencar
The Brazilian Cerrado biome consists of a highly heterogeneous tropical savanna, and is one of the world's biodiversity hotspots. High rates of deforestation, however, place it as the second-largest source of carbon emissions in Brazil. Due to its heterogeneity, biomass and carbon stocks in the Cerrado vegetation are highly variable, and mapping and monitoring these stocks are not a trivial effort. To address this challenge, we built an aboveground woody biomass (AGWB) model for the Cerrado biome using 30-m resolution optical satellite imagery (Landsat-5 and Landsat-8), 25-m resolution SAR imagery (ALOS and ALOS-2), and a set of plot-based and LiDAR-derived AGWB estimates (n = 1858) from a wide network of researchers in Brazil. We implemented both a Classification and Regression Tree (CART) and a Random Forest (RF) algorithm to model AGWB over the native vegetation in the year 2019 (as classified by MapBiomas) in the Cerrado. The RF algorithms resulted in a slightly better result (R2 = 53%; rel. RMSE = 57%) than the CART model (R2 = 45%; rel. RMSE = 63%), but our map shows an underestimation of very high AGWB (negative bias over 200 t ha−1) and a slight overestimation of low AGWB (positive bias), especially in the RF model (bias of 1.19 t ha−1 against 0.86 t ha−1 for the CART model). We believe we have contributed to knowledge on the woody biomass stocks in the biome, especially in the predominant savanna woodlands, which is where the highest current rates of conversion take place in the Cerrado.

Funding

National Institute of Science and Technology for Climate Change Phase 2 under CNPq Grant 465501/2014-1

FAPESP Grant 2014/50848-9

National Coordination for High Level Education and Training (CAPES) Grant 16/2014

History

Citation

Forest Ecology and Management 499 (2021) 119615

Author affiliation

School of Geography, Geology and the Environment

Version

  • VoR (Version of Record)

Published in

Forest Ecology and Management

Volume

499

Publisher

Elsevier

issn

0378-1127

eissn

1872-7042

Acceptance date

2021-08-07

Copyright date

2021

Available date

2024-03-05

Language

eng

Rights Retention Statement

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