Modelling soil carbon content in South Patagonia and evaluating changes according to climate, vegetation, desertification and grazing

Autores
Peri, Pablo Luis; Rosas, Yamina Micaela; Ladd, Brenton; Toledo, Santiago; Lasagno, Romina Gisele; Martínez Pastur, Guillermo José
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In Southern Patagonia, a long-term monitoring network has been established to assess bio-indicators as an early warning of environmental changes due to climate change and human activities. Soil organic carbon (SOC) content in rangelands provides a range of important ecosystem services and supports the capacity of the land to sustain plant and animal productivity. The objectives in this study were to model SOC (30 cm) stocks at a regional scale using climatic, topographic and vegetation variables, and to establish a baseline that can be used as an indicator of rangeland condition. For modelling, we used a stepwise multiple regression to identify variables that explain SOC variation at the landscape scale. With the SOC model, we obtained a SOC map for the entire Santa Cruz province, where the variables derived from the multiple linear regression models were integrated into a geographic information system (GIS). SOC stock to 30 cm ranged from 1.38 to 32.63 kg C m-2. The fitted model explained 76.4% of SOC variation using as independent variables isothermality, precipitation seasonality and vegetation cover expressed as a normalized difference vegetation index. The SOC map discriminated in three categories (low, medium, high) determined patterns among environmental and land use variables. For example, SOC decreased with desertification due to erosion processes. The understanding and mapping of SOC in Patagonia contributes as a bridge across main issues such as climate change, desertification and biodiversity conservation.
Fil: Peri, Pablo Luis. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires; Argentina. Universidad Nacional de la Patagonia Austral; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Rosas, Yamina Micaela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas; Argentina
Fil: Ladd, Brenton. Universidad Cientifica del Sur; Perú. University of New South Wales; Australia
Fil: Toledo, Santiago. Universidad Nacional de la Patagonia Austral; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Lasagno, Romina Gisele. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires; Argentina
Fil: Martínez Pastur, Guillermo José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas; Argentina
Materia
CLIMATE
GRASSLANDS
LAND USE
LIVESTOCK
NATIVE FOREST
SOIL CARBON
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/94659
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/94659
network_acronym_str CONICETDig
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network_name_str CONICET Digital (CONICET)
spelling Modelling soil carbon content in South Patagonia and evaluating changes according to climate, vegetation, desertification and grazingPeri, Pablo LuisRosas, Yamina MicaelaLadd, BrentonToledo, SantiagoLasagno, Romina GiseleMartínez Pastur, Guillermo JoséCLIMATEGRASSLANDSLAND USELIVESTOCKNATIVE FORESTSOIL CARBONhttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1In Southern Patagonia, a long-term monitoring network has been established to assess bio-indicators as an early warning of environmental changes due to climate change and human activities. Soil organic carbon (SOC) content in rangelands provides a range of important ecosystem services and supports the capacity of the land to sustain plant and animal productivity. The objectives in this study were to model SOC (30 cm) stocks at a regional scale using climatic, topographic and vegetation variables, and to establish a baseline that can be used as an indicator of rangeland condition. For modelling, we used a stepwise multiple regression to identify variables that explain SOC variation at the landscape scale. With the SOC model, we obtained a SOC map for the entire Santa Cruz province, where the variables derived from the multiple linear regression models were integrated into a geographic information system (GIS). SOC stock to 30 cm ranged from 1.38 to 32.63 kg C m-2. The fitted model explained 76.4% of SOC variation using as independent variables isothermality, precipitation seasonality and vegetation cover expressed as a normalized difference vegetation index. The SOC map discriminated in three categories (low, medium, high) determined patterns among environmental and land use variables. For example, SOC decreased with desertification due to erosion processes. The understanding and mapping of SOC in Patagonia contributes as a bridge across main issues such as climate change, desertification and biodiversity conservation.Fil: Peri, Pablo Luis. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires; Argentina. Universidad Nacional de la Patagonia Austral; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Rosas, Yamina Micaela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas; ArgentinaFil: Ladd, Brenton. Universidad Cientifica del Sur; Perú. University of New South Wales; AustraliaFil: Toledo, Santiago. Universidad Nacional de la Patagonia Austral; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Lasagno, Romina Gisele. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires; ArgentinaFil: Martínez Pastur, Guillermo José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas; ArgentinaMDPI2018-02info: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/11336/94659Peri, Pablo Luis; Rosas, Yamina Micaela; Ladd, Brenton; Toledo, Santiago; Lasagno, Romina Gisele; et al.; Modelling soil carbon content in South Patagonia and evaluating changes according to climate, vegetation, desertification and grazing; MDPI; Sustainability (Switzerland); 10; 2; 2-2018; 1-142071-1050CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2071-1050/10/2/438info:eu-repo/semantics/altIdentifier/doi/10.3390/su10020438info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:29:59Zoai:ri.conicet.gov.ar:11336/94659instacron: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:34982025-09-29 10:30:00.259CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Modelling soil carbon content in South Patagonia and evaluating changes according to climate, vegetation, desertification and grazing
title Modelling soil carbon content in South Patagonia and evaluating changes according to climate, vegetation, desertification and grazing
spellingShingle Modelling soil carbon content in South Patagonia and evaluating changes according to climate, vegetation, desertification and grazing
Peri, Pablo Luis
CLIMATE
GRASSLANDS
LAND USE
LIVESTOCK
NATIVE FOREST
SOIL CARBON
title_short Modelling soil carbon content in South Patagonia and evaluating changes according to climate, vegetation, desertification and grazing
title_full Modelling soil carbon content in South Patagonia and evaluating changes according to climate, vegetation, desertification and grazing
title_fullStr Modelling soil carbon content in South Patagonia and evaluating changes according to climate, vegetation, desertification and grazing
title_full_unstemmed Modelling soil carbon content in South Patagonia and evaluating changes according to climate, vegetation, desertification and grazing
title_sort Modelling soil carbon content in South Patagonia and evaluating changes according to climate, vegetation, desertification and grazing
dc.creator.none.fl_str_mv Peri, Pablo Luis
Rosas, Yamina Micaela
Ladd, Brenton
Toledo, Santiago
Lasagno, Romina Gisele
Martínez Pastur, Guillermo José
author Peri, Pablo Luis
author_facet Peri, Pablo Luis
Rosas, Yamina Micaela
Ladd, Brenton
Toledo, Santiago
Lasagno, Romina Gisele
Martínez Pastur, Guillermo José
author_role author
author2 Rosas, Yamina Micaela
Ladd, Brenton
Toledo, Santiago
Lasagno, Romina Gisele
Martínez Pastur, Guillermo José
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv CLIMATE
GRASSLANDS
LAND USE
LIVESTOCK
NATIVE FOREST
SOIL CARBON
topic CLIMATE
GRASSLANDS
LAND USE
LIVESTOCK
NATIVE FOREST
SOIL CARBON
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv In Southern Patagonia, a long-term monitoring network has been established to assess bio-indicators as an early warning of environmental changes due to climate change and human activities. Soil organic carbon (SOC) content in rangelands provides a range of important ecosystem services and supports the capacity of the land to sustain plant and animal productivity. The objectives in this study were to model SOC (30 cm) stocks at a regional scale using climatic, topographic and vegetation variables, and to establish a baseline that can be used as an indicator of rangeland condition. For modelling, we used a stepwise multiple regression to identify variables that explain SOC variation at the landscape scale. With the SOC model, we obtained a SOC map for the entire Santa Cruz province, where the variables derived from the multiple linear regression models were integrated into a geographic information system (GIS). SOC stock to 30 cm ranged from 1.38 to 32.63 kg C m-2. The fitted model explained 76.4% of SOC variation using as independent variables isothermality, precipitation seasonality and vegetation cover expressed as a normalized difference vegetation index. The SOC map discriminated in three categories (low, medium, high) determined patterns among environmental and land use variables. For example, SOC decreased with desertification due to erosion processes. The understanding and mapping of SOC in Patagonia contributes as a bridge across main issues such as climate change, desertification and biodiversity conservation.
Fil: Peri, Pablo Luis. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires; Argentina. Universidad Nacional de la Patagonia Austral; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Rosas, Yamina Micaela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas; Argentina
Fil: Ladd, Brenton. Universidad Cientifica del Sur; Perú. University of New South Wales; Australia
Fil: Toledo, Santiago. Universidad Nacional de la Patagonia Austral; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Lasagno, Romina Gisele. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Buenos Aires; Argentina
Fil: Martínez Pastur, Guillermo José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas; Argentina
description In Southern Patagonia, a long-term monitoring network has been established to assess bio-indicators as an early warning of environmental changes due to climate change and human activities. Soil organic carbon (SOC) content in rangelands provides a range of important ecosystem services and supports the capacity of the land to sustain plant and animal productivity. The objectives in this study were to model SOC (30 cm) stocks at a regional scale using climatic, topographic and vegetation variables, and to establish a baseline that can be used as an indicator of rangeland condition. For modelling, we used a stepwise multiple regression to identify variables that explain SOC variation at the landscape scale. With the SOC model, we obtained a SOC map for the entire Santa Cruz province, where the variables derived from the multiple linear regression models were integrated into a geographic information system (GIS). SOC stock to 30 cm ranged from 1.38 to 32.63 kg C m-2. The fitted model explained 76.4% of SOC variation using as independent variables isothermality, precipitation seasonality and vegetation cover expressed as a normalized difference vegetation index. The SOC map discriminated in three categories (low, medium, high) determined patterns among environmental and land use variables. For example, SOC decreased with desertification due to erosion processes. The understanding and mapping of SOC in Patagonia contributes as a bridge across main issues such as climate change, desertification and biodiversity conservation.
publishDate 2018
dc.date.none.fl_str_mv 2018-02
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/11336/94659
Peri, Pablo Luis; Rosas, Yamina Micaela; Ladd, Brenton; Toledo, Santiago; Lasagno, Romina Gisele; et al.; Modelling soil carbon content in South Patagonia and evaluating changes according to climate, vegetation, desertification and grazing; MDPI; Sustainability (Switzerland); 10; 2; 2-2018; 1-14
2071-1050
CONICET Digital
CONICET
url http://hdl.handle.net/11336/94659
identifier_str_mv Peri, Pablo Luis; Rosas, Yamina Micaela; Ladd, Brenton; Toledo, Santiago; Lasagno, Romina Gisele; et al.; Modelling soil carbon content in South Patagonia and evaluating changes according to climate, vegetation, desertification and grazing; MDPI; Sustainability (Switzerland); 10; 2; 2-2018; 1-14
2071-1050
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2071-1050/10/2/438
info:eu-repo/semantics/altIdentifier/doi/10.3390/su10020438
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 MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
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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score 13.070432

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