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

Detalhes bibliográficos
Autor(a) principal: da Costa, Luis Miguel [UNESP]
Data de Publicação: 2022
Outros Autores: de Araújo Santos, Gustavo André [UNESP], de Mendonça, Gislaine Costa [UNESP], Morais Filho, Luiz Fernando Favacho [UNESP], de Meneses, Kamila Cunha [UNESP], de Souza Rolim, Glauco [UNESP], La Scala Jr, Newton [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1007/s10668-021-01677-6
http://hdl.handle.net/11449/229265
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 (Xco2) in the macroregion of Ribeirão Preto (MRP), São Paulo, a significant sugarcane producer in Brazil. We obtained remote sensing data from January 2015 to December 2018. The variables used were Xco2 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 Xco2 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 Xco2 tend to vary over the years. We conclude that the temporal variation of Xco2 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.
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spelling Spatiotemporal variability of atmospheric CO2 concentration and controlling factors over sugarcane cultivation areas in southern BrazilCarbon cycleClimate changeClimate-carbon feedbacksOCO-2Remote sensingWith 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 (Xco2) in the macroregion of Ribeirão Preto (MRP), São Paulo, a significant sugarcane producer in Brazil. We obtained remote sensing data from January 2015 to December 2018. The variables used were Xco2 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 Xco2 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 Xco2 tend to vary over the years. We conclude that the temporal variation of Xco2 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.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Department of Engineering and Exact Sciences São Paulo State University, Via de Acesso Prof. Paulo Donato Castellane s/n, JaboticabalDepartment of Engineering and Exact Sciences São Paulo State University, Via de Acesso Prof. Paulo Donato Castellane s/n, JaboticabalCAPES: 001FAPESP: 2019/25812-4CNPq: 304075/2018-3Universidade Estadual Paulista (UNESP)da Costa, Luis Miguel [UNESP]de Araújo Santos, Gustavo André [UNESP]de Mendonça, Gislaine Costa [UNESP]Morais Filho, Luiz Fernando Favacho [UNESP]de Meneses, Kamila Cunha [UNESP]de Souza Rolim, Glauco [UNESP]La Scala Jr, Newton [UNESP]2022-04-29T08:31:29Z2022-04-29T08:31:29Z2022-04-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article5694-5717http://dx.doi.org/10.1007/s10668-021-01677-6Environment, Development and Sustainability, v. 24, n. 4, p. 5694-5717, 2022.1573-29751387-585Xhttp://hdl.handle.net/11449/22926510.1007/s10668-021-01677-62-s2.0-85111831573Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengEnvironment, Development and Sustainabilityinfo:eu-repo/semantics/openAccess2024-06-06T13:44:12Zoai:repositorio.unesp.br:11449/229265Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-06T00:06:56.157816Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Spatiotemporal variability of atmospheric CO2 concentration and controlling factors over sugarcane cultivation areas in southern Brazil
title Spatiotemporal variability of atmospheric CO2 concentration and controlling factors over sugarcane cultivation areas in southern Brazil
spellingShingle Spatiotemporal variability of atmospheric CO2 concentration and controlling factors over sugarcane cultivation areas in southern Brazil
da Costa, Luis Miguel [UNESP]
Carbon cycle
Climate change
Climate-carbon feedbacks
OCO-2
Remote sensing
title_short Spatiotemporal variability of atmospheric CO2 concentration and controlling factors over sugarcane cultivation areas in southern Brazil
title_full Spatiotemporal variability of atmospheric CO2 concentration and controlling factors over sugarcane cultivation areas in southern Brazil
title_fullStr Spatiotemporal variability of atmospheric CO2 concentration and controlling factors over sugarcane cultivation areas in southern Brazil
title_full_unstemmed Spatiotemporal variability of atmospheric CO2 concentration and controlling factors over sugarcane cultivation areas in southern Brazil
title_sort Spatiotemporal variability of atmospheric CO2 concentration and controlling factors over sugarcane cultivation areas in southern Brazil
author da Costa, Luis Miguel [UNESP]
author_facet da Costa, Luis Miguel [UNESP]
de Araújo Santos, Gustavo André [UNESP]
de Mendonça, Gislaine Costa [UNESP]
Morais Filho, Luiz Fernando Favacho [UNESP]
de Meneses, Kamila Cunha [UNESP]
de Souza Rolim, Glauco [UNESP]
La Scala Jr, Newton [UNESP]
author_role author
author2 de Araújo Santos, Gustavo André [UNESP]
de Mendonça, Gislaine Costa [UNESP]
Morais Filho, Luiz Fernando Favacho [UNESP]
de Meneses, Kamila Cunha [UNESP]
de Souza Rolim, Glauco [UNESP]
La Scala Jr, Newton [UNESP]
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv da Costa, Luis Miguel [UNESP]
de Araújo Santos, Gustavo André [UNESP]
de Mendonça, Gislaine Costa [UNESP]
Morais Filho, Luiz Fernando Favacho [UNESP]
de Meneses, Kamila Cunha [UNESP]
de Souza Rolim, Glauco [UNESP]
La Scala Jr, Newton [UNESP]
dc.subject.por.fl_str_mv Carbon cycle
Climate change
Climate-carbon feedbacks
OCO-2
Remote sensing
topic Carbon cycle
Climate change
Climate-carbon feedbacks
OCO-2
Remote sensing
description 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 (Xco2) in the macroregion of Ribeirão Preto (MRP), São Paulo, a significant sugarcane producer in Brazil. We obtained remote sensing data from January 2015 to December 2018. The variables used were Xco2 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 Xco2 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 Xco2 tend to vary over the years. We conclude that the temporal variation of Xco2 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.
publishDate 2022
dc.date.none.fl_str_mv 2022-04-29T08:31:29Z
2022-04-29T08:31:29Z
2022-04-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1007/s10668-021-01677-6
Environment, Development and Sustainability, v. 24, n. 4, p. 5694-5717, 2022.
1573-2975
1387-585X
http://hdl.handle.net/11449/229265
10.1007/s10668-021-01677-6
2-s2.0-85111831573
url http://dx.doi.org/10.1007/s10668-021-01677-6
http://hdl.handle.net/11449/229265
identifier_str_mv Environment, Development and Sustainability, v. 24, n. 4, p. 5694-5717, 2022.
1573-2975
1387-585X
10.1007/s10668-021-01677-6
2-s2.0-85111831573
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Environment, Development and Sustainability
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 5694-5717
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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