Agricultural impact on soil organic carbon content: Testing the IPCC carbon accounting method for evaluations at county scale

Soil organic carbon (SOC) plays a vital role in determining soil quality and health, but also SOC decrease contributes significantly to the increase in atmospheric CO2 concentration. Countries need to quantify their SOC stocks and flows in order to assess their greenhouse gas emissions. To facilitat...

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Detalles Bibliográficos
Autores: Villarino, Sebastián Horacio, Studdert, Guillermo Alberto, Laterra, Pedro, Cendoya, María Gabriela
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2014
País:Argentina
Institución:Consejo Nacional de Investigaciones Científicas y Técnicas
Repositorio:CONICET Digital (CONICET)
Idioma:inglés
OAI Identifier:oai:ri.conicet.gov.ar:11336/25626
Acceso en línea:http://hdl.handle.net/11336/25626
Access Level:acceso abierto
Palabra clave:Land Use Change
Soil Carbon Inventory
Ipcc
Argentinean Pampa Region
Tier 2
https://purl.org/becyt/ford/4.1
https://purl.org/becyt/ford/4
id AR_fb2cc46f9910eab0fcccbb31c3e9c814
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network_acronym_str AR
network_name_str Argentina
repository_id_str
dc.title.none.fl_str_mv Agricultural impact on soil organic carbon content: Testing the IPCC carbon accounting method for evaluations at county scale
title Agricultural impact on soil organic carbon content: Testing the IPCC carbon accounting method for evaluations at county scale
spellingShingle Agricultural impact on soil organic carbon content: Testing the IPCC carbon accounting method for evaluations at county scale
Villarino, Sebastián Horacio
Land Use Change
Soil Carbon Inventory
Ipcc
Argentinean Pampa Region
Tier 2
https://purl.org/becyt/ford/4.1
https://purl.org/becyt/ford/4
title_short Agricultural impact on soil organic carbon content: Testing the IPCC carbon accounting method for evaluations at county scale
title_full Agricultural impact on soil organic carbon content: Testing the IPCC carbon accounting method for evaluations at county scale
title_fullStr Agricultural impact on soil organic carbon content: Testing the IPCC carbon accounting method for evaluations at county scale
title_full_unstemmed Agricultural impact on soil organic carbon content: Testing the IPCC carbon accounting method for evaluations at county scale
title_sort Agricultural impact on soil organic carbon content: Testing the IPCC carbon accounting method for evaluations at county scale
dc.creator.none.fl_str_mv Villarino, Sebastián Horacio
Studdert, Guillermo Alberto
Laterra, Pedro
Cendoya, María Gabriela
author Villarino, Sebastián Horacio
author_facet Villarino, Sebastián Horacio
Studdert, Guillermo Alberto
Laterra, Pedro
Cendoya, María Gabriela
author_role author
author2 Studdert, Guillermo Alberto
Laterra, Pedro
Cendoya, María Gabriela
author2_role author
author
author
dc.subject.none.fl_str_mv Land Use Change
Soil Carbon Inventory
Ipcc
Argentinean Pampa Region
Tier 2
https://purl.org/becyt/ford/4.1
https://purl.org/becyt/ford/4
topic Land Use Change
Soil Carbon Inventory
Ipcc
Argentinean Pampa Region
Tier 2
https://purl.org/becyt/ford/4.1
https://purl.org/becyt/ford/4
description Soil organic carbon (SOC) plays a vital role in determining soil quality and health, but also SOC decrease contributes significantly to the increase in atmospheric CO2 concentration. Countries need to quantify their SOC stocks and flows in order to assess their greenhouse gas emissions. To facilitate this, the Intergovernmental Panel on Climate Change has developed a simple carbon accounting method to estimate SOC stocks and flows in response to changes in land use. This method proposes three tiers for SOC change estimation. The higher the tier the greater the accuracy of the estimates, but also the complexity and the need of information. We used the RothC model to derive SOC change factors in order to develop a Tier 2 (T2) method. We applied this T2 and Tier 1 (T1) methods to estimate SOC stocks and flows in five sub regions of the Argentinean Pampa Region between 1900 and 2006. We evaluated T1 and T2 methods performances comparing their estimates against empirical data, at sub region and county scales. At both spatial scales, T1 method showed a poor performance and an important improvement was achieved with T2 method, although its performance varied among spatial scales. At sub region scale, T2 method estimates were very good (R2 = 0.85), but at county scale the fit was poor (R2 = 0.46). However, this poor fit may have been due, at least in part, to the quality of the input and validation information of one of the sub regions (Flooding Pampa) since its exclusion of the analysis led to an increase of the R2 up to 0.73. Tier 2 was used to estimate the impact of land use change on SOC. Sub regions with the highest estimated SOC losses were Central Pampa, Southern Pampa – Eastern and Rolling Pampa, with 35%, 28% and 26% average SOC losses, respectively. Given that several conceptual limitations of T1 method were overcome with our simple T2 method, we conclude that T2 method is more realistic to conduct a regional SOC inventory. Besides, our T2 method was developed without using empirical information from field or laboratory studies about SOC change and, therefore, countries that have not enough empirical information available on SOC change associated to land use could derive a similar T2 method.
publishDate 2014
dc.date.none.fl_str_mv 2014-03-01
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/25626
Villarino, Sebastián Horacio; Studdert, Guillermo Alberto; Laterra, Pedro; Cendoya, María Gabriela; Agricultural impact on soil organic carbon content: Testing the IPCC carbon accounting method for evaluations at county scale; Elsevier Science; Agriculture, Ecosystems and Environment; 185; 1-3-2014; 118-132
0167-8809
CONICET Digital
CONICET
url http://hdl.handle.net/11336/25626
identifier_str_mv Villarino, Sebastián Horacio; Studdert, Guillermo Alberto; Laterra, Pedro; Cendoya, María Gabriela; Agricultural impact on soil organic carbon content: Testing the IPCC carbon accounting method for evaluations at county scale; Elsevier Science; Agriculture, Ecosystems and Environment; 185; 1-3-2014; 118-132
0167-8809
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/j.agee.2013.12.021
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S016788091300443X
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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spelling Agricultural impact on soil organic carbon content: Testing the IPCC carbon accounting method for evaluations at county scaleVillarino, Sebastián HoracioStuddert, Guillermo AlbertoLaterra, PedroCendoya, María GabrielaLand Use ChangeSoil Carbon InventoryIpccArgentinean Pampa RegionTier 2https://purl.org/becyt/ford/4.1https://purl.org/becyt/ford/4Soil organic carbon (SOC) plays a vital role in determining soil quality and health, but also SOC decrease contributes significantly to the increase in atmospheric CO2 concentration. Countries need to quantify their SOC stocks and flows in order to assess their greenhouse gas emissions. To facilitate this, the Intergovernmental Panel on Climate Change has developed a simple carbon accounting method to estimate SOC stocks and flows in response to changes in land use. This method proposes three tiers for SOC change estimation. The higher the tier the greater the accuracy of the estimates, but also the complexity and the need of information. We used the RothC model to derive SOC change factors in order to develop a Tier 2 (T2) method. We applied this T2 and Tier 1 (T1) methods to estimate SOC stocks and flows in five sub regions of the Argentinean Pampa Region between 1900 and 2006. We evaluated T1 and T2 methods performances comparing their estimates against empirical data, at sub region and county scales. At both spatial scales, T1 method showed a poor performance and an important improvement was achieved with T2 method, although its performance varied among spatial scales. At sub region scale, T2 method estimates were very good (R2 = 0.85), but at county scale the fit was poor (R2 = 0.46). However, this poor fit may have been due, at least in part, to the quality of the input and validation information of one of the sub regions (Flooding Pampa) since its exclusion of the analysis led to an increase of the R2 up to 0.73. Tier 2 was used to estimate the impact of land use change on SOC. Sub regions with the highest estimated SOC losses were Central Pampa, Southern Pampa – Eastern and Rolling Pampa, with 35%, 28% and 26% average SOC losses, respectively. Given that several conceptual limitations of T1 method were overcome with our simple T2 method, we conclude that T2 method is more realistic to conduct a regional SOC inventory. Besides, our T2 method was developed without using empirical information from field or laboratory studies about SOC change and, therefore, countries that have not enough empirical information available on SOC change associated to land use could derive a similar T2 method.Fil: Villarino, Sebastián Horacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; ArgentinaFil: Studdert, Guillermo Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; ArgentinaFil: Laterra, Pedro. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; ArgentinaFil: Cendoya, María Gabriela. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias; ArgentinaElsevier Science2014-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/25626Villarino, Sebastián Horacio; Studdert, Guillermo Alberto; Laterra, Pedro; Cendoya, María Gabriela; Agricultural impact on soil organic carbon content: Testing the IPCC carbon accounting method for evaluations at county scale; Elsevier Science; Agriculture, Ecosystems and Environment; 185; 1-3-2014; 118-1320167-8809CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/j.agee.2013.12.021info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S016788091300443Xinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2024-05-08T14:06:55Zoai:ri.conicet.gov.ar:11336/25626instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982024-05-08 14:06:55.862CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
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