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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Spatiotemporal variability of atmospheric CO2 concentration and controlling factors over sugarcane cultivation areas in southern Brazil

Texto completo
Autor(es):
da Costa, Luis Miguel [1] ; de Araujo Santos, Gustavo Andre [1] ; de Mendonca, Gislaine Costa [1] ; Favacho Morais Filho, Luiz Fernando [1] ; de Meneses, Kamila Cunha [1] ; Rolim, Glauco de Souza [1] ; La Scala, Jr., Newton [1]
Número total de Autores: 7
Afiliação do(s) autor(es):
[1] Sao Paulo State Univ, Dept Engn & Exact Sci, Via Acesso Prof Paulo Donato Castellane S-N, BR-14884900 Jaboticabal, SP - Brazil
Número total de Afiliações: 1
Tipo de documento: Artigo Científico
Fonte: ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY; AUG 2021.
Citações Web of Science: 0
Resumo

With the advancement of remote sensing, it is now possible to identify and characterize greenhouse gas emissions under deferment land uses. Given the above, this study aimed to characterize the spatial-temporal variability and the main factors controlling the average atmospheric CO2 column (Xco(2)) in the macroregion of Ribeirao Preto (MRP), Sao Paulo, a significant sugarcane producer in Brazil. We obtained remote sensing data from January 2015 to December 2018. The variables used were Xco(2) and sun-induced fluorescence of chlorophyll (SIF) by NASA's Orbiting Carbon Observatory-2 satellite (OCO-2), relative humidity (RH), global radiation (Qg), and the average temperature at 2 m (T2m) by the NASA-POWER platform, and leaf area index (LAI) and evapotranspiration by Penman-Monteith (ET) by MODIS sensor. We evaluated the data in trimester's averages, where descriptive statistics, Pearson correlation and linear regression have been applied. The spatial distribution was made by the inverse distance weighted (IDW). The minimum (390.40 +/- 0.41 ppm) and maximum (394.75 +/- 0.34 ppm) mean of Xco(2) was observed in the first quarter of 2015 and third quarter of 2017. The Xco2 obtained negative correlations with the SIF (-0.81), LAI (-0.81), RH (-0.74), ET (-0.84), and Qg (-0.51). Hotspots and coldspots of Xco(2) tend to vary over the years. We conclude that the temporal variation of Xco(2) above sugarcane areas in southern Brazil is well represented by a periodic function. Our results indicate photosynthesis and soil exposure after harvest are factors that could act as source and sink of CO2. (AU)

Processo FAPESP: 19/25812-4 - Variabilidade espaço-temporal do CO2 atmosférico no estado de São Paulo, Brasil: uma perspectiva com sensoriamento remoto
Beneficiário:Luis Miguel da Costa
Linha de fomento: Bolsas no Brasil - Iniciação Científica