Modelling soil carbon content in south Patagonia and evaluating changes according to climate, vegetation, desertification and grazing
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 support...
| Autores principales: | , , , , , |
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| Formato: | Artículo |
| Lenguaje: | Inglés |
| Publicado: |
2018
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| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.12123/2248 http://www.mdpi.com/2071-1050/10/2/438 |
| _version_ | 1855483021304528896 |
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| author | Peri, Pablo Luis Rosas, Yamina Micaela Ladd, Brenton Toledo, Santiago Lasagno, Romina Gisele Martínez Pastur, Guillermo José |
| author_browse | Ladd, Brenton Lasagno, Romina Gisele Martínez Pastur, Guillermo José Peri, Pablo Luis Rosas, Yamina Micaela Toledo, Santiago |
| author_facet | Peri, Pablo Luis Rosas, Yamina Micaela Ladd, Brenton Toledo, Santiago Lasagno, Romina Gisele Martínez Pastur, Guillermo José |
| author_sort | Peri, Pablo Luis |
| collection | INTA Digital |
| 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. |
| format | Artículo |
| id | INTA2248 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2018 |
| publishDateRange | 2018 |
| publishDateSort | 2018 |
| record_format | dspace |
| spelling | INTA22482018-04-13T18:56:25Z Modelling soil carbon content in south Patagonia and evaluating changes according to climate, vegetation, desertification and grazing Peri, Pablo Luis Rosas, Yamina Micaela Ladd, Brenton Toledo, Santiago Lasagno, Romina Gisele Martínez Pastur, Guillermo José Carbono Utilización de la Tierra Desertificación Cambio Climático Suelo Pastoreo Grazing Soil Climate Change Desertification Land Use Carbon Soil Organic Carbon Patagonia Sur 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 2018-04-13T18:48:02Z 2018-04-13T18:48:02Z 2018 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/2248 http://www.mdpi.com/2071-1050/10/2/438 2071-1050 eng info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf Sustainability 10 (2) : 438. (2018) |
| spellingShingle | Carbono Utilización de la Tierra Desertificación Cambio Climático Suelo Pastoreo Grazing Soil Climate Change Desertification Land Use Carbon Soil Organic Carbon Patagonia Sur Peri, Pablo Luis Rosas, Yamina Micaela Ladd, Brenton Toledo, Santiago Lasagno, Romina Gisele Martínez Pastur, Guillermo José 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 |
| 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_short | 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 |
| topic | Carbono Utilización de la Tierra Desertificación Cambio Climático Suelo Pastoreo Grazing Soil Climate Change Desertification Land Use Carbon Soil Organic Carbon Patagonia Sur |
| url | http://hdl.handle.net/20.500.12123/2248 http://www.mdpi.com/2071-1050/10/2/438 |
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