Atmospheric CO2, soil carbon stock and control variables in managed and degraded pastures in central Brazil

Detalhes bibliográficos
Autor(a) principal: Odorizzi de Campos, Marcelo [UNESP]
Data de Publicação: 2022
Outros Autores: Pellegrino Cerri, Carlos Eduardo, La Scala, Newton [UNESP]
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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spelling 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)
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