A New Framework for Vegetation Productivity Dynamics Assessment in Patagonia: Rangeland Functional Archetypes

Autores
Sello, Mario Eugenio; Maddio, Rafael Adrian; Hurtado, Santiago Ignacio; Castillo, Daniel Alejandro; Perri, Daiana Vanesa; Bruzzone, Octavio Augusto; Easdale, Marcos Horacio
Año de publicación
2024
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
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
Fuente
Phyton-International Journal of Experimental Botany 93 (9) : 2479-2498. (September 2024)
Materia
Pastizales
Manejo de Praderas
Ganadería
Estepas
Tierras Húmedas
Vegetación
Pastures
Grassland Management
Animal Husbandry
Steppes
Wetlands
Vegetation
Región Patagónica
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:20.500.12123/19958
Acceder
id INTADig_a345ba112b77392c95eaa8b8a9891641
oai_identifier_str oai:localhost:20.500.12123/19958
network_acronym_str INTADig
repository_id_str l
network_name_str INTA Digital (INTA)
spelling A New Framework for Vegetation Productivity Dynamics Assessment in Patagonia: Rangeland Functional ArchetypesSello, Mario EugenioMaddio, Rafael AdrianHurtado, Santiago IgnacioCastillo, Daniel AlejandroPerri, Daiana VanesaBruzzone, Octavio AugustoEasdale, Marcos HoracioPastizalesManejo de PraderasGanaderíaEstepasTierras HúmedasVegetaciónPasturesGrassland ManagementAnimal HusbandrySteppesWetlandsVegetationRegión PatagónicaAdaptive 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 BarilocheFil: Sello, Mario Eugenio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Instituto de Investigaciones Forestales y Agropecuarias de Bariloche (IFAB); ArgentinaFil: Sello, Mario Eugenio. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche (IFAB); ArgentinaFil: Maddio, Rafael Adrián. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Instituto de Investigaciones Forestales y Agropecuarias de Bariloche (IFAB); ArgentinaFil: Maddio, Rafael Adrián. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche (IFAB); ArgentinaFil: Hurtado, Santiago Ignacio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Instituto de Investigaciones Forestales y Agropecuarias de Bariloche (IFAB); ArgentinaFil: Hurtado, Santiago Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche (IFAB); ArgentinaFil: Castillo, Daniel Alejandro. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Instituto de Investigaciones Forestales y Agropecuarias de Bariloche (IFAB); ArgentinaFil: Castillo, Daniel Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche (IFAB); ArgentinaFil: Perri, Daiana Vanesa. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Instituto de Investigaciones Forestales y Agropecuarias de Bariloche (IFAB); ArgentinaFil: Perri, Daiana Vanesa. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche (IFAB); ArgentinaFil: Bruzzone, Octavio Augusto. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Easdale, Marcos Horacio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Bariloche. Instituto de Investigaciones Forestales y Agropecuarias de Bariloche (IFAB); ArgentinaFil: Easdale, Marcos Horacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Investigaciones Forestales y Agropecuarias Bariloche (IFAB); ArgentinaTech Science Press2024-10-29T11:38:16Z2024-10-29T11:38:16Z2024-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/19958https://www.techscience.com/phyton/v93n9/581840031-94571851-5657 (online)https://doi.org/10.32604/phyton.2024.053168Phyton-International Journal of Experimental Botany 93 (9) : 2479-2498. (September 2024)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repograntAgreement/INTA/2023-PD-L01-I099, Pastoreo inteligente para sistemas ganaderos sustentablesinfo: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)2025-09-18T10:09:46Zoai:localhost:20.500.12123/19958instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-18 10:09:47.289INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv 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
spellingShingle A New Framework for Vegetation Productivity Dynamics Assessment in Patagonia: Rangeland Functional Archetypes
Sello, Mario Eugenio
Pastizales
Manejo de Praderas
Ganadería
Estepas
Tierras Húmedas
Vegetación
Pastures
Grassland Management
Animal Husbandry
Steppes
Wetlands
Vegetation
Región Patagónica
title_short 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_sort A New Framework for Vegetation Productivity Dynamics Assessment in Patagonia: Rangeland Functional Archetypes
dc.creator.none.fl_str_mv Sello, Mario Eugenio
Maddio, Rafael Adrian
Hurtado, Santiago Ignacio
Castillo, Daniel Alejandro
Perri, Daiana Vanesa
Bruzzone, Octavio Augusto
Easdale, Marcos Horacio
author 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_role author
author2 Maddio, Rafael Adrian
Hurtado, Santiago Ignacio
Castillo, Daniel Alejandro
Perri, Daiana Vanesa
Bruzzone, Octavio Augusto
Easdale, Marcos Horacio
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Pastizales
Manejo de Praderas
Ganadería
Estepas
Tierras Húmedas
Vegetación
Pastures
Grassland Management
Animal Husbandry
Steppes
Wetlands
Vegetation
Región Patagónica
topic Pastizales
Manejo de Praderas
Ganadería
Estepas
Tierras Húmedas
Vegetación
Pastures
Grassland Management
Animal Husbandry
Steppes
Wetlands
Vegetation
Región Patagónica
dc.description.none.fl_txt_mv 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
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.
publishDate 2024
dc.date.none.fl_str_mv 2024-10-29T11:38:16Z
2024-10-29T11:38:16Z
2024-09
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/20.500.12123/19958
https://www.techscience.com/phyton/v93n9/58184
0031-9457
1851-5657 (online)
https://doi.org/10.32604/phyton.2024.053168
url http://hdl.handle.net/20.500.12123/19958
https://www.techscience.com/phyton/v93n9/58184
https://doi.org/10.32604/phyton.2024.053168
identifier_str_mv 0031-9457
1851-5657 (online)
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repograntAgreement/INTA/2023-PD-L01-I099, Pastoreo inteligente para sistemas ganaderos sustentables
dc.rights.none.fl_str_mv 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)
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.publisher.none.fl_str_mv Tech Science Press
publisher.none.fl_str_mv Tech Science Press
dc.source.none.fl_str_mv Phyton-International Journal of Experimental Botany 93 (9) : 2479-2498. (September 2024)
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 13.001348

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