Atmospheric CO2, soil carbon stock and control variables in managed and degraded pastures in central 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/10.1016/j.rsase.2022.100848 http://hdl.handle.net/11449/247815 |
Resumo: | Brazil has 166 million hectares of pastures, 58.8% (97.6 million hectares) of which are in some degree of degradation. Besides the low animal support capacity and vegetative yield, degraded pastures also contribute significantly to soil carbon losses, through CO2 emission. This study aimed to understand the temporal dynamics of atmospheric CO2 in contrast between degraded pastures (DP) and managed pastures (MP) in the Cerrado Brazil biome. Using the Pasture Atlas and 6-year time series, the variables were collected under the pasture classes: column-average concentration of carbon dioxide in the atmosphere (xCO2), Soil Carbon Stock (SCS), as well as Solar-induced Chlorophyll Fluorescence (SIF), Normalized Difference Vegetation Index (NDVI) and Leaf Area Index (LAI) as vegetative characteristics, and Land Surface Temperature Amplitude (LST Amplitude) and Precipitation as climatic aspects. Except for xCO2, MP was significantly different from DP with higher SIF, NDVI, LAI, Precipitation, and SCS, but smaller LST Amplitude. The hypothesis test (Student t-test p < 0.05) results indicate higher Precipitation and SCS in MP when compared to DP due to its positive effect of higher vegetative values. Linear regression and Pearson's correlation analysis indicate that xCO2 negatively relates to the precipitation and vegetative variables (NDVI, LAI, and SIF), but positively with LST Amplitude and SCS. Soil carbon stock obtained a significant xCO2 relationship (p < 0.001) only in the DP, suggesting that the environmental stress experienced by degraded pastures impacts soil carbon losses as a source of CO2. Therefore, this study concludes that DP with carbon stored in the soil is the main source of CO2 for the atmosphere when compared to MP. So, if the necessary care is not taken, the organic carbon from these degraded pastures will be lost to the atmosphere as CO2. These findings may favor nature-based solutions indicating that proper pasture management is an important aspect to mitigate emissions and improving soil carbon content helping to mitigate atmospheric CO2. |
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Atmospheric CO2, soil carbon stock and control variables in managed and degraded pastures in central BrazilClimate changesLSTNature-basedOCO-2Remote sensingSoilGridsSolutionsBrazil has 166 million hectares of pastures, 58.8% (97.6 million hectares) of which are in some degree of degradation. Besides the low animal support capacity and vegetative yield, degraded pastures also contribute significantly to soil carbon losses, through CO2 emission. This study aimed to understand the temporal dynamics of atmospheric CO2 in contrast between degraded pastures (DP) and managed pastures (MP) in the Cerrado Brazil biome. Using the Pasture Atlas and 6-year time series, the variables were collected under the pasture classes: column-average concentration of carbon dioxide in the atmosphere (xCO2), Soil Carbon Stock (SCS), as well as Solar-induced Chlorophyll Fluorescence (SIF), Normalized Difference Vegetation Index (NDVI) and Leaf Area Index (LAI) as vegetative characteristics, and Land Surface Temperature Amplitude (LST Amplitude) and Precipitation as climatic aspects. Except for xCO2, MP was significantly different from DP with higher SIF, NDVI, LAI, Precipitation, and SCS, but smaller LST Amplitude. The hypothesis test (Student t-test p < 0.05) results indicate higher Precipitation and SCS in MP when compared to DP due to its positive effect of higher vegetative values. Linear regression and Pearson's correlation analysis indicate that xCO2 negatively relates to the precipitation and vegetative variables (NDVI, LAI, and SIF), but positively with LST Amplitude and SCS. Soil carbon stock obtained a significant xCO2 relationship (p < 0.001) only in the DP, suggesting that the environmental stress experienced by degraded pastures impacts soil carbon losses as a source of CO2. Therefore, this study concludes that DP with carbon stored in the soil is the main source of CO2 for the atmosphere when compared to MP. So, if the necessary care is not taken, the organic carbon from these degraded pastures will be lost to the atmosphere as CO2. These findings may favor nature-based solutions indicating that proper pasture management is an important aspect to mitigate emissions and improving soil carbon content helping to mitigate atmospheric CO2.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Department of Engineering and Exact Sciences College of Agricultural and Veterinarian Sciences São Paulo State University (FCAV/UNESP), Via de Acesso Prof. Paulo Donato Castellane s/n, Jaboticabal, SPDepartment of Soil Science “Luiz de Queiroz” College of Agriculture University of São Paulo, SPDepartment of Engineering and Exact Sciences College of Agricultural and Veterinarian Sciences São Paulo State University (FCAV/UNESP), Via de Acesso Prof. Paulo Donato Castellane s/n, Jaboticabal, SPUniversidade Estadual Paulista (UNESP)Universidade de São Paulo (USP)Odorizzi de Campos, Marcelo [UNESP]Pellegrino Cerri, Carlos EduardoLa Scala, Newton [UNESP]2023-07-29T13:26:38Z2023-07-29T13:26:38Z2022-11-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.rsase.2022.100848Remote Sensing Applications: Society and Environment, v. 28.2352-9385http://hdl.handle.net/11449/24781510.1016/j.rsase.2022.1008482-s2.0-85140897187Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengRemote Sensing Applications: Society and Environmentinfo:eu-repo/semantics/openAccess2024-06-06T13:43:30Zoai:repositorio.unesp.br:11449/247815Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T20:34:06.181729Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Atmospheric CO2, soil carbon stock and control variables in managed and degraded pastures in central Brazil |
title |
Atmospheric CO2, soil carbon stock and control variables in managed and degraded pastures in central Brazil |
spellingShingle |
Atmospheric CO2, soil carbon stock and control variables in managed and degraded pastures in central Brazil Odorizzi de Campos, Marcelo [UNESP] Climate changes LST Nature-based OCO-2 Remote sensing SoilGrids Solutions |
title_short |
Atmospheric CO2, soil carbon stock and control variables in managed and degraded pastures in central Brazil |
title_full |
Atmospheric CO2, soil carbon stock and control variables in managed and degraded pastures in central Brazil |
title_fullStr |
Atmospheric CO2, soil carbon stock and control variables in managed and degraded pastures in central Brazil |
title_full_unstemmed |
Atmospheric CO2, soil carbon stock and control variables in managed and degraded pastures in central Brazil |
title_sort |
Atmospheric CO2, soil carbon stock and control variables in managed and degraded pastures in central Brazil |
author |
Odorizzi de Campos, Marcelo [UNESP] |
author_facet |
Odorizzi de Campos, Marcelo [UNESP] Pellegrino Cerri, Carlos Eduardo La Scala, Newton [UNESP] |
author_role |
author |
author2 |
Pellegrino Cerri, Carlos Eduardo La Scala, Newton [UNESP] |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) Universidade de São Paulo (USP) |
dc.contributor.author.fl_str_mv |
Odorizzi de Campos, Marcelo [UNESP] Pellegrino Cerri, Carlos Eduardo La Scala, Newton [UNESP] |
dc.subject.por.fl_str_mv |
Climate changes LST Nature-based OCO-2 Remote sensing SoilGrids Solutions |
topic |
Climate changes LST Nature-based OCO-2 Remote sensing SoilGrids Solutions |
description |
Brazil has 166 million hectares of pastures, 58.8% (97.6 million hectares) of which are in some degree of degradation. Besides the low animal support capacity and vegetative yield, degraded pastures also contribute significantly to soil carbon losses, through CO2 emission. This study aimed to understand the temporal dynamics of atmospheric CO2 in contrast between degraded pastures (DP) and managed pastures (MP) in the Cerrado Brazil biome. Using the Pasture Atlas and 6-year time series, the variables were collected under the pasture classes: column-average concentration of carbon dioxide in the atmosphere (xCO2), Soil Carbon Stock (SCS), as well as Solar-induced Chlorophyll Fluorescence (SIF), Normalized Difference Vegetation Index (NDVI) and Leaf Area Index (LAI) as vegetative characteristics, and Land Surface Temperature Amplitude (LST Amplitude) and Precipitation as climatic aspects. Except for xCO2, MP was significantly different from DP with higher SIF, NDVI, LAI, Precipitation, and SCS, but smaller LST Amplitude. The hypothesis test (Student t-test p < 0.05) results indicate higher Precipitation and SCS in MP when compared to DP due to its positive effect of higher vegetative values. Linear regression and Pearson's correlation analysis indicate that xCO2 negatively relates to the precipitation and vegetative variables (NDVI, LAI, and SIF), but positively with LST Amplitude and SCS. Soil carbon stock obtained a significant xCO2 relationship (p < 0.001) only in the DP, suggesting that the environmental stress experienced by degraded pastures impacts soil carbon losses as a source of CO2. Therefore, this study concludes that DP with carbon stored in the soil is the main source of CO2 for the atmosphere when compared to MP. So, if the necessary care is not taken, the organic carbon from these degraded pastures will be lost to the atmosphere as CO2. These findings may favor nature-based solutions indicating that proper pasture management is an important aspect to mitigate emissions and improving soil carbon content helping to mitigate atmospheric CO2. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-11-01 2023-07-29T13:26:38Z 2023-07-29T13:26:38Z |
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/10.1016/j.rsase.2022.100848 Remote Sensing Applications: Society and Environment, v. 28. 2352-9385 http://hdl.handle.net/11449/247815 10.1016/j.rsase.2022.100848 2-s2.0-85140897187 |
url |
http://dx.doi.org/10.1016/j.rsase.2022.100848 http://hdl.handle.net/11449/247815 |
identifier_str_mv |
Remote Sensing Applications: Society and Environment, v. 28. 2352-9385 10.1016/j.rsase.2022.100848 2-s2.0-85140897187 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Remote Sensing Applications: Society and Environment |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
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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1808129220394614784 |