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.
Fil: Sello, Mario Eugenio. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Patagonia Norte. Estación Experimental Agropecuaria San Carlos de Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina
Fil: Maddio, Rafael Adrian. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Patagonia Norte. Estación Experimental Agropecuaria San Carlos de Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina
Fil: Hurtado, Santiago Ignacio. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Patagonia Norte. Estación Experimental Agropecuaria San Carlos de Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina
Fil: Castillo, Daniel Alejandro. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Patagonia Norte. Estación Experimental Agropecuaria San Carlos de Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina
Fil: Perri, Daiana Vanesa. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Patagonia Norte. Estación Experimental Agropecuaria San Carlos de Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina
Fil: Bruzzone, Octavio Augusto. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Patagonia Norte. Estación Experimental Agropecuaria San Carlos de Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina
Fil: Easdale, Marcos Horacio. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Patagonia Norte. Estación Experimental Agropecuaria San Carlos de Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina
Materia
Arid regions
Steppes
Wetlands
Livestock
Pastoralism
Adaptive management
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/266864
Acceder
id CONICETDig_7cf633b72e065a53d045377b8a37e255
oai_identifier_str oai:ri.conicet.gov.ar:11336/266864
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
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 HoracioArid regionsSteppesWetlandsLivestockPastoralismAdaptive managementhttps://purl.org/becyt/ford/4.5https://purl.org/becyt/ford/4https://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Adaptive 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.Fil: Sello, Mario Eugenio. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Patagonia Norte. Estación Experimental Agropecuaria San Carlos de Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; ArgentinaFil: Maddio, Rafael Adrian. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Patagonia Norte. Estación Experimental Agropecuaria San Carlos de Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; ArgentinaFil: Hurtado, Santiago Ignacio. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Patagonia Norte. Estación Experimental Agropecuaria San Carlos de Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; ArgentinaFil: Castillo, Daniel Alejandro. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Patagonia Norte. Estación Experimental Agropecuaria San Carlos de Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; ArgentinaFil: Perri, Daiana Vanesa. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Patagonia Norte. Estación Experimental Agropecuaria San Carlos de Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; ArgentinaFil: Bruzzone, Octavio Augusto. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Patagonia Norte. Estación Experimental Agropecuaria San Carlos de Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; ArgentinaFil: Easdale, Marcos Horacio. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Patagonia Norte. Estación Experimental Agropecuaria San Carlos de Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; ArgentinaTech Science Press2024-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/266864Sello, Mario Eugenio; Maddio, Rafael Adrian; Hurtado, Santiago Ignacio; Castillo, Daniel Alejandro; Perri, Daiana Vanesa; et al.; A New Framework for Vegetation Productivity Dynamics Assessment in Patagonia: Rangeland Functional Archetypes; Tech Science Press; Phyton; 93; 9; 8-2024; 2479-24981851-5657CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.techscience.com/phyton/online/detail/21400info:eu-repo/semantics/altIdentifier/doi/10.32604/phyton.2024.053168info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:29:47Zoai:ri.conicet.gov.ar:11336/266864instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 11:29:47.971CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
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
Arid regions
Steppes
Wetlands
Livestock
Pastoralism
Adaptive management
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 Arid regions
Steppes
Wetlands
Livestock
Pastoralism
Adaptive management
topic Arid regions
Steppes
Wetlands
Livestock
Pastoralism
Adaptive management
purl_subject.fl_str_mv https://purl.org/becyt/ford/4.5
https://purl.org/becyt/ford/4
https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
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.
Fil: Sello, Mario Eugenio. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Patagonia Norte. Estación Experimental Agropecuaria San Carlos de Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina
Fil: Maddio, Rafael Adrian. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Patagonia Norte. Estación Experimental Agropecuaria San Carlos de Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina
Fil: Hurtado, Santiago Ignacio. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Patagonia Norte. Estación Experimental Agropecuaria San Carlos de Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina
Fil: Castillo, Daniel Alejandro. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Patagonia Norte. Estación Experimental Agropecuaria San Carlos de Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina
Fil: Perri, Daiana Vanesa. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Patagonia Norte. Estación Experimental Agropecuaria San Carlos de Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina
Fil: Bruzzone, Octavio Augusto. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Patagonia Norte. Estación Experimental Agropecuaria San Carlos de Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; Argentina
Fil: Easdale, Marcos Horacio. Instituto Nacional de Tecnología Agropecuaria. Centro Regional Patagonia Norte. Estación Experimental Agropecuaria San Carlos de Bariloche. Instituto de Investigaciones Forestales y Agropecuarias Bariloche. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones Forestales y Agropecuarias Bariloche; 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 2024-08
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/11336/266864
Sello, Mario Eugenio; Maddio, Rafael Adrian; Hurtado, Santiago Ignacio; Castillo, Daniel Alejandro; Perri, Daiana Vanesa; et al.; A New Framework for Vegetation Productivity Dynamics Assessment in Patagonia: Rangeland Functional Archetypes; Tech Science Press; Phyton; 93; 9; 8-2024; 2479-2498
1851-5657
CONICET Digital
CONICET
url http://hdl.handle.net/11336/266864
identifier_str_mv Sello, Mario Eugenio; Maddio, Rafael Adrian; Hurtado, Santiago Ignacio; Castillo, Daniel Alejandro; Perri, Daiana Vanesa; et al.; A New Framework for Vegetation Productivity Dynamics Assessment in Patagonia: Rangeland Functional Archetypes; Tech Science Press; Phyton; 93; 9; 8-2024; 2479-2498
1851-5657
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.techscience.com/phyton/online/detail/21400
info:eu-repo/semantics/altIdentifier/doi/10.32604/phyton.2024.053168
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
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 reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1846781886068686848
score 12.982451

Publicaciones similares