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
.jpg)
- Institución
- Instituto Nacional de Tecnología Agropecuaria
- OAI Identificador
- oai:localhost:20.500.12123/2248
Ver los metadatos del registro completo
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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)2025-09-29T13:44:17Zoai: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:l2025-09-29 13:44:18.149INTA 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 |
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2018-04-13T18:48:02Z 2018-04-13T18:48:02Z 2018 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
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article |
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publishedVersion |
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eng |
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eng |
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