A New Framework for Vegetation Productivity Dynamics Assessment in Patagonia: Rangeland Functional Archetypes
Adaptive management in arid and semi-arid regions of Patagonia, Argentina, requires a thorough understanding of vegetative dynamics, which can be obtained via rangeland assessment and monitoring. These practices are essential for decision-making to prevent environmental degradation, especially in th...
| Autores principales: | , , , , , , |
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| Formato: | info:ar-repo/semantics/artículo |
| Lenguaje: | Inglés |
| Publicado: |
Tech Science Press
2024
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| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.12123/19958 https://www.techscience.com/phyton/v93n9/58184 https://doi.org/10.32604/phyton.2024.053168 |
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| author | Sello, Mario Eugenio Maddio, Rafael Adrian Hurtado, Santiago Ignacio Castillo, Daniel Alejandro Perri, Daiana Vanesa Bruzzone, Octavio Augusto Easdale, Marcos Horacio |
| author_browse | Bruzzone, Octavio Augusto Castillo, Daniel Alejandro Easdale, Marcos Horacio Hurtado, Santiago Ignacio Maddio, Rafael Adrian Perri, Daiana Vanesa Sello, Mario Eugenio |
| author_facet | Sello, Mario Eugenio Maddio, Rafael Adrian Hurtado, Santiago Ignacio Castillo, Daniel Alejandro Perri, Daiana Vanesa Bruzzone, Octavio Augusto Easdale, Marcos Horacio |
| author_sort | Sello, Mario Eugenio |
| collection | INTA Digital |
| description | Adaptive management in arid and semi-arid regions of Patagonia, Argentina, requires a thorough understanding of vegetative dynamics, which can be obtained via rangeland assessment and monitoring. These practices are essential for decision-making to prevent environmental degradation, especially in the light of drought aggravated by climate change. In turn, most methods used to evaluate rangelands focus on data obtained from field measurements and vegetation classifications based on remote sensing data. One of the most frequent problems is that field-based rangeland assessments, based on field measurements, turn out to be expensive because they require high efforts in data collection and additionally fail to accumulate a large amount of data over time. However, satellite data series have been available for more than 20 years, which nowadays makes it possible to analyze the variation over time of vegetation productivity, and at the same time, minimize the costs. This study aimed to compare and evaluate the complementarity of information between two classification systems based on: (a) vegetation productivity dynamics derived from remote sensing data, which we have termed Rangeland Functional Archetypes, and (b) geomorphological features and field data at a farm level. We discuss the complementarity of information that can enhance rangeland assessments applied to Patagonian pastoral systems. In particular, we emphasize the opportunities to redesign management plans aimed at including dynamics and changes in time of vegetation productivity as a classificatory factor and not solely as a descriptive variable. |
| format | info:ar-repo/semantics/artículo |
| id | INTA19958 |
| institution | Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina) |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | Tech Science Press |
| publisherStr | Tech Science Press |
| record_format | dspace |
| spelling | INTA199582024-10-29T11:43:30Z A New Framework for Vegetation Productivity Dynamics Assessment in Patagonia: Rangeland Functional Archetypes Sello, Mario Eugenio Maddio, Rafael Adrian Hurtado, Santiago Ignacio Castillo, Daniel Alejandro Perri, Daiana Vanesa Bruzzone, Octavio Augusto Easdale, Marcos Horacio Pastizales Manejo de Praderas Ganadería Estepas Tierras Húmedas Vegetación Pastures Grassland Management Animal Husbandry Steppes Wetlands Vegetation Región Patagónica Adaptive management in arid and semi-arid regions of Patagonia, Argentina, requires a thorough understanding of vegetative dynamics, which can be obtained via rangeland assessment and monitoring. These practices are essential for decision-making to prevent environmental degradation, especially in the light of drought aggravated by climate change. In turn, most methods used to evaluate rangelands focus on data obtained from field measurements and vegetation classifications based on remote sensing data. One of the most frequent problems is that field-based rangeland assessments, based on field measurements, turn out to be expensive because they require high efforts in data collection and additionally fail to accumulate a large amount of data over time. However, satellite data series have been available for more than 20 years, which nowadays makes it possible to analyze the variation over time of vegetation productivity, and at the same time, minimize the costs. This study aimed to compare and evaluate the complementarity of information between two classification systems based on: (a) vegetation productivity dynamics derived from remote sensing data, which we have termed Rangeland Functional Archetypes, and (b) geomorphological features and field data at a farm level. We discuss the complementarity of information that can enhance rangeland assessments applied to Patagonian pastoral systems. In particular, we emphasize the opportunities to redesign management plans aimed at including dynamics and changes in time of vegetation productivity as a classificatory factor and not solely as a descriptive variable. EEA Bariloche Fil: Sello, Mario Eugenio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Instituto de Investigaciones Forestales y Agropecuarias de Bariloche (IFAB); Argentina Fil: Sello, Mario Eugenio. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche (IFAB); Argentina Fil: Maddio, Rafael Adrián. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Instituto de Investigaciones Forestales y Agropecuarias de Bariloche (IFAB); Argentina Fil: Maddio, Rafael Adrián. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche (IFAB); Argentina Fil: Hurtado, Santiago Ignacio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Instituto de Investigaciones Forestales y Agropecuarias de Bariloche (IFAB); Argentina Fil: Hurtado, Santiago Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche (IFAB); Argentina Fil: Castillo, Daniel Alejandro. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Instituto de Investigaciones Forestales y Agropecuarias de Bariloche (IFAB); Argentina Fil: Castillo, Daniel Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche (IFAB); Argentina Fil: Perri, Daiana Vanesa. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Instituto de Investigaciones Forestales y Agropecuarias de Bariloche (IFAB); Argentina Fil: Perri, Daiana Vanesa. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche (IFAB); Argentina Fil: Bruzzone, Octavio Augusto. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Easdale, Marcos Horacio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Instituto de Investigaciones Forestales y Agropecuarias de Bariloche (IFAB); Argentina Fil: Easdale, Marcos Horacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche (IFAB); Argentina 2024-10-29T11:38:16Z 2024-10-29T11:38:16Z 2024-09 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://hdl.handle.net/20.500.12123/19958 https://www.techscience.com/phyton/v93n9/58184 0031-9457 1851-5657 (online) https://doi.org/10.32604/phyton.2024.053168 eng info:eu-repograntAgreement/INTA/2023-PD-L01-I099, Pastoreo inteligente para sistemas ganaderos sustentables 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 Tech Science Press Phyton-International Journal of Experimental Botany 93 (9) : 2479-2498. (September 2024) |
| spellingShingle | Pastizales Manejo de Praderas Ganadería Estepas Tierras Húmedas Vegetación Pastures Grassland Management Animal Husbandry Steppes Wetlands Vegetation Región Patagónica Sello, Mario Eugenio Maddio, Rafael Adrian Hurtado, Santiago Ignacio Castillo, Daniel Alejandro Perri, Daiana Vanesa Bruzzone, Octavio Augusto Easdale, Marcos Horacio A New Framework for Vegetation Productivity Dynamics Assessment in Patagonia: Rangeland Functional Archetypes |
| title | A New Framework for Vegetation Productivity Dynamics Assessment in Patagonia: Rangeland Functional Archetypes |
| title_full | A New Framework for Vegetation Productivity Dynamics Assessment in Patagonia: Rangeland Functional Archetypes |
| title_fullStr | A New Framework for Vegetation Productivity Dynamics Assessment in Patagonia: Rangeland Functional Archetypes |
| title_full_unstemmed | A New Framework for Vegetation Productivity Dynamics Assessment in Patagonia: Rangeland Functional Archetypes |
| title_short | A New Framework for Vegetation Productivity Dynamics Assessment in Patagonia: Rangeland Functional Archetypes |
| title_sort | new framework for vegetation productivity dynamics assessment in patagonia rangeland functional archetypes |
| topic | Pastizales Manejo de Praderas Ganadería Estepas Tierras Húmedas Vegetación Pastures Grassland Management Animal Husbandry Steppes Wetlands Vegetation Región Patagónica |
| url | http://hdl.handle.net/20.500.12123/19958 https://www.techscience.com/phyton/v93n9/58184 https://doi.org/10.32604/phyton.2024.053168 |
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