Implications of CO2 emissions on the main land and forest uses in the Brazilian Amazon

Fernando Saragosa Rossi; Newton La Scala Jr; Guilherme Fernando Capristo-Silva; João Lucas Della-Silva; Larissa Pereira Ribeiro Teodoro; Gabriel Almeida; Auana Vicente Tiago; Paulo Eduardo Teodoro; Carlos Antonio da Silva Junior

doi:10.1016/j.envres.2023.115729

Implications of CO₂ emissions on the main land and forest uses in the Brazilian Amazon

Environ Res. 2023 Jun 15:227:115729. doi: 10.1016/j.envres.2023.115729. Epub 2023 Mar 21.

Authors

Fernando Saragosa Rossi¹, Newton La Scala Jr², Guilherme Fernando Capristo-Silva³, João Lucas Della-Silva⁴, Larissa Pereira Ribeiro Teodoro⁵, Gabriel Almeida⁶, Auana Vicente Tiago⁷, Paulo Eduardo Teodoro⁵, Carlos Antonio da Silva Junior⁸

Affiliations

¹ State University of São Paulo (UNESP), PPG-Ciência Do Solo, Jaboticabal, São Paulo, Brazil. Electronic address: fernando.rossi@unesp.br.
² State University of São Paulo (UNESP), PPG-Ciência Do Solo, Jaboticabal, São Paulo, Brazil.
³ Federal University of Mato Grosso (UFMT), PPGA, Sinop, Mato Grosso, Brazil.
⁴ State University of Mato Grosso (UNEMAT), PPG-Bionorte, Sinop, Mato Grosso, Brazil.
⁵ Federal University of Mato Grosso Do Sul (UFMS), Chapadão Do Sul, Mato Grosso do Sul, Brazil.
⁶ Federal University of Mato Grosso (UFMT), PPGCAM, Sinop, Mato Grosso, Brazil.
⁷ Programa de Desenvolvimento Científico e Tecnológico Regional (PDCTR) - FAPEMAT/CNPq, Sinop, Mato Grosso, Brazil.
⁸ State University of Mato Grosso (UNEMAT), Sinop, Mato Grosso, Brazil.

PMID: 36948283
DOI: 10.1016/j.envres.2023.115729

Abstract

The emission of soil carbon dioxide (CO₂) in agricultural areas is a process that results from the interaction of several factors such as climate, soil, and land management practices. Agricultural practices directly affect the carbon dynamics between the soil and atmosphere. Herein, we evaluated the temporal variability (2020/2021 crop season) of soil CO₂ emissions and its relationship with related variables, such as the CO₂ flux model, enhanced vegetation index (EVI), gross primary productivity (GPP), and leaf area index (LAI) from orbital data and soil temperature, soil moisture, and soil CO₂ emissions from in situ collections from native forests, productive pastures, degraded pastures, and areas of high-yield potential soybean and low-yield potential soybean production. A significant influence (p < 0.01) was observed for all variables and between the different land uses and occupation types. September and October had lower emissions of soil CO₂ and low means of soil moisture and soil temperature, and no differences were observed among the treatments. On the other hand, there was a significant effect of the CO₂ flux model in productive pastures, high-yield potential soybean areas, and low-yield potential soybean areas. The months with the highest CO₂ flux values in the model, regardless of land use and land cover, were October and November, which is the beginning of the rainy season. There were positive correlations between soil CO₂ emissions and GPP (0.208), LAI (0.354), EVI (0.363), and soil moisture (0.280) and negative correlations between soil CO₂ emissions and soil temperature (-0.240) and CO₂ flux model (-0.314) values. Land use and land cover showed negative correlations with these variables, except for the CO₂ flux model variable. Soil CO₂ emission values were lower for high-yield potential soybean areas (averages from 0.834 to 6.835 μmol m^-2 s^-1) and low-yield potential soybean areas (from 0.943 to 5.686 μmol m^-2 s^-1) and higher for native forests (from 2.279 to 8.131 μmol m^-2 s^-1), whereas the opposite was true for the CO₂ flux model.

Keywords: Climate change; Greenhouse gases; Land use and land cover; Sustainability.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Agriculture / methods
Brazil
Carbon Dioxide* / analysis
Forests*
Methane
Soil

Substances

Carbon Dioxide
Soil
Methane