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 m2. 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. Universidad Nacional de la Patagonia Austral; Argentina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Río Gallegos; 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. University of New South Wales. School of Biological, Earth and Environmental Sciences; Astralia. Universidad Científica del Sur. Escuela de Agroforestería; Perú
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 (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina
Fil: Martínez Pastur, Guillermo José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Cientificas; Argentina
Fuente
Sustainability 10 (2) : 438. (2018)
Materia
Carbono
Utilización de la Tierra
Desertificación
Cambio Climático
Suelo
Pastoreo
Grazing
Soil
Climate Change
Desertification
Land Use
Carbon
Soil Organic Carbon
Patagonia Sur
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/2248
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oai_identifier_str oai:localhost:20.500.12123/2248
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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 JoséCarbonoUtilización de la TierraDesertificaciónCambio ClimáticoSueloPastoreoGrazingSoilClimate ChangeDesertificationLand UseCarbonSoil Organic CarbonPatagonia SurIn 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 m2. 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. Universidad Nacional de la Patagonia Austral; Argentina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Río Gallegos; 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. University of New South Wales. School of Biological, Earth and Environmental Sciences; Astralia. Universidad Científica del Sur. Escuela de Agroforestería; PerúFil: 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 (INTA). Estación Experimental Agropecuaria Santa Cruz; ArgentinaFil: Martínez Pastur, Guillermo José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Cientificas; Argentina2018-04-13T18:48:02Z2018-04-13T18:48:02Z2018info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/2248http://www.mdpi.com/2071-1050/10/2/4382071-1050Sustainability 10 (2) : 438. (2018)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-10-16T09:29:09Zoai:localhost:20.500.12123/2248instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-10-16 09:29:09.654INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
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
Carbono
Utilización de la Tierra
Desertificación
Cambio Climático
Suelo
Pastoreo
Grazing
Soil
Climate Change
Desertification
Land Use
Carbon
Soil Organic Carbon
Patagonia Sur
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 Carbono
Utilización de la Tierra
Desertificación
Cambio Climático
Suelo
Pastoreo
Grazing
Soil
Climate Change
Desertification
Land Use
Carbon
Soil Organic Carbon
Patagonia Sur
topic Carbono
Utilización de la Tierra
Desertificación
Cambio Climático
Suelo
Pastoreo
Grazing
Soil
Climate Change
Desertification
Land Use
Carbon
Soil Organic Carbon
Patagonia Sur
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 m2. 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. Universidad Nacional de la Patagonia Austral; Argentina. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Río Gallegos; 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. University of New South Wales. School of Biological, Earth and Environmental Sciences; Astralia. Universidad Científica del Sur. Escuela de Agroforestería; Perú
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 (INTA). Estación Experimental Agropecuaria Santa Cruz; Argentina
Fil: Martínez Pastur, Guillermo José. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Cientificas; 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 m2. 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 2018-04-13T18:48:02Z
2018-04-13T18:48:02Z
2018
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/20.500.12123/2248
http://www.mdpi.com/2071-1050/10/2/438
2071-1050
url http://hdl.handle.net/20.500.12123/2248
http://www.mdpi.com/2071-1050/10/2/438
identifier_str_mv 2071-1050
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv Sustainability 10 (2) : 438. (2018)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
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score 12.712165

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