Journal Article

Persistent fire foci in all biomes undermine the Paris Agreement in Brazil

Delgado, Rafael Coll, de Andréa Pantaleão, Ariane, Teodoro, Paulo Eduardo, de Azevedo, Gileno Brito, Arvor, Damien, Capristo-Silva, Guilherme Fernando, Facco, Cassiele Uliana, da Silva Junior, Carlos Antonio, Lima, Mendelson, Baio, Fabio Henrique Rojo, de Oliveira Sousa Azevedo, Glauce Taís, Teodoro, Larissa Pereira Ribeiro

2020

Overview

Brazil is one of the world’s biggest emitters of greenhouse gases (GHGs). Fire foci across the country contributes to these emissions and compromises emission reduction targets pledged by Brazil under the Paris Agreement. In this paper, we quantify fire foci, burned areas, and carbon emissions in all Brazilian biomes (i.e., Amazon, Cerrado, Caatinga, Atlantic Forest, Pantanal and Pampa). We analyzed these variables using cluster analysis and non-parametric statistics to predict carbon and CO 2 emissions for the next decade. Our results showed no increase in the number of fire foci and carbon emissions for the evaluated time series, whereby the highest emissions occur and will persist in the Amazon and Cerrado biomes. The Atlantic Forest, Pantanal, Caatinga and Pampa biomes had low emissions compared to the Amazon and Cerrado. Based on 2030 projections, the sum of emissions from fire foci in the six Brazilian biomes will exceed 5.7 Gt CO2, compromising the national GHG reduction targets. To reduce GHG emissions, Brazil will need to control deforestation induced by the expansion of the agricultural frontier in the Amazon and Cerrado biomes. This can only be achieved through significant political effort involving the government, entrepreneurs and society as a collective.

• Publisher: Nature Publishing Group UK,Nature Publishing Group
• Subject: 704/106 / 704/172 / Carbon / Carbon dioxide / Carbon dioxide emissions / Deforestation / Ecosystems / Emissions control / Environment and Society / Environmental Sciences / Geography / Greenhouse effect / Greenhouse gas emissions / Greenhouse gases / Humanities and Social Sciences / multidisciplinary / Paris Agreement / Science / Science (multidisciplinary) / Statistical analysis