Spatiotemporal variability of atmospheric CO2 concentration and controlling factors over sugarcane cultivation areas in southern Brazil
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , |
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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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 |
|
_version_ |
1808129585120804864 |