Discrimating the biophysical signal from human - induced effects on long - tern primary production dynamics. The case of Patagonia.

Autores
Irisarri, Jorge Gonzalo Nicolás; Texeira, Marcos; Oesterheld, Martín; Veron, Santiago Ramón; Della Nave, Facundo; Paruelo, José María
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión aceptada
Descripción
The temporal trend of aboveground net primary production (ANPP) is frequently used to estimate the human effect on ecosystems. In water-limited ecosystems, like most grazing areas in the world, human effects act upon ANPP in combination with environmental variations. Our main objective was to quantify long-term (1981-2012) changes of ANPP and discriminate the causes of these changes between environmental and human at a subcontinental scale, across vast areas of Patagonia. We estimated ANPP through a radiative model based on remote sensing data. Then, we evaluated the relation between ANPP and environmental interannual variations of two hierarchically related factors: ENSO, through the Southern Oscillation Index, SOI, and precipitation. We described the human effect through the shape of the temporal trends of the residuals of the environmental model (RESTREND) and quantified human relative impact through the RESTREND: ANPP trend ratio. ANPP interannual variation was significantly explained by ENSO (through SOI) and precipitation in 65% of the study area. The Southern Oscillation Index had a positive association with annual precipitation. The association between ANPP and annual precipitation was positive. RESTREND analysis was statistically significant in 92% of the area where the tested environmental model worked, representing 60% of the study area, and it was mostly negative. However, its magnitude, revealed through the RESTREND: ANPP trend ratio, was relatively mild. Our analysis revealed that most of ANPP trends were associated with climate and that even when human density is low, its incidence seems to be mainly negative.
Instituto de Clima y Agua
Fil: Irisarri, Jorge Gonzalo Nicolás. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina
Fil: Texeira González, Marcos Alexis. Universidad de Buenos Aires. Facultad de Agronomia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina
Fil: Oesterheld, Martin. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina
Fil: Veron, Santiago Ramón. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información; Argentina
Fil: Della Nave, Facundo. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina
Fil: Paruelo, José María. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina
Fuente
Global Change Biology 27 (18) : 1-34 (September 2021)
Materia
Normalized Difference Vegetation Index
Ecosytems
Índice Normalizado Diferencial de la Vegetación
Ecosistema
ENSO
NDVI
Región Patagónica
Nivel de accesibilidad
acceso restringido
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:20.500.12123/14398
Acceder
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oai_identifier_str oai:localhost:20.500.12123/14398
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network_name_str INTA Digital (INTA)
spelling Discrimating the biophysical signal from human - induced effects on long - tern primary production dynamics. The case of Patagonia.Irisarri, Jorge Gonzalo NicolásTexeira, MarcosOesterheld, MartínVeron, Santiago RamónDella Nave, FacundoParuelo, José MaríaNormalized Difference Vegetation IndexEcosytemsÍndice Normalizado Diferencial de la VegetaciónEcosistemaENSONDVIRegión PatagónicaThe temporal trend of aboveground net primary production (ANPP) is frequently used to estimate the human effect on ecosystems. In water-limited ecosystems, like most grazing areas in the world, human effects act upon ANPP in combination with environmental variations. Our main objective was to quantify long-term (1981-2012) changes of ANPP and discriminate the causes of these changes between environmental and human at a subcontinental scale, across vast areas of Patagonia. We estimated ANPP through a radiative model based on remote sensing data. Then, we evaluated the relation between ANPP and environmental interannual variations of two hierarchically related factors: ENSO, through the Southern Oscillation Index, SOI, and precipitation. We described the human effect through the shape of the temporal trends of the residuals of the environmental model (RESTREND) and quantified human relative impact through the RESTREND: ANPP trend ratio. ANPP interannual variation was significantly explained by ENSO (through SOI) and precipitation in 65% of the study area. The Southern Oscillation Index had a positive association with annual precipitation. The association between ANPP and annual precipitation was positive. RESTREND analysis was statistically significant in 92% of the area where the tested environmental model worked, representing 60% of the study area, and it was mostly negative. However, its magnitude, revealed through the RESTREND: ANPP trend ratio, was relatively mild. Our analysis revealed that most of ANPP trends were associated with climate and that even when human density is low, its incidence seems to be mainly negative.Instituto de Clima y AguaFil: Irisarri, Jorge Gonzalo Nicolás. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; ArgentinaFil: Texeira González, Marcos Alexis. Universidad de Buenos Aires. Facultad de Agronomia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; ArgentinaFil: Oesterheld, Martin. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; ArgentinaFil: Veron, Santiago Ramón. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información; ArgentinaFil: Della Nave, Facundo. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; ArgentinaFil: Paruelo, José María. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; ArgentinaWileyinfo:eu-repo/date/embargoEnd/2024-04-042023-04-04T20:19:26Z2023-04-04T20:19:26Z2021-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://hdl.handle.net/20.500.12123/14398https://onlinelibrary.wiley.com/doi/10.1111/gcb.157331365-2486https://doi.org/10.1111/gcb.15733Global Change Biology 27 (18) : 1-34 (September 2021)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/restrictedAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)2025-10-16T09:31:09Zoai:localhost:20.500.12123/14398instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-10-16 09:31:09.633INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Discrimating the biophysical signal from human - induced effects on long - tern primary production dynamics. The case of Patagonia.
title Discrimating the biophysical signal from human - induced effects on long - tern primary production dynamics. The case of Patagonia.
spellingShingle Discrimating the biophysical signal from human - induced effects on long - tern primary production dynamics. The case of Patagonia.
Irisarri, Jorge Gonzalo Nicolás
Normalized Difference Vegetation Index
Ecosytems
Índice Normalizado Diferencial de la Vegetación
Ecosistema
ENSO
NDVI
Región Patagónica
title_short Discrimating the biophysical signal from human - induced effects on long - tern primary production dynamics. The case of Patagonia.
title_full Discrimating the biophysical signal from human - induced effects on long - tern primary production dynamics. The case of Patagonia.
title_fullStr Discrimating the biophysical signal from human - induced effects on long - tern primary production dynamics. The case of Patagonia.
title_full_unstemmed Discrimating the biophysical signal from human - induced effects on long - tern primary production dynamics. The case of Patagonia.
title_sort Discrimating the biophysical signal from human - induced effects on long - tern primary production dynamics. The case of Patagonia.
dc.creator.none.fl_str_mv Irisarri, Jorge Gonzalo Nicolás
Texeira, Marcos
Oesterheld, Martín
Veron, Santiago Ramón
Della Nave, Facundo
Paruelo, José María
author Irisarri, Jorge Gonzalo Nicolás
author_facet Irisarri, Jorge Gonzalo Nicolás
Texeira, Marcos
Oesterheld, Martín
Veron, Santiago Ramón
Della Nave, Facundo
Paruelo, José María
author_role author
author2 Texeira, Marcos
Oesterheld, Martín
Veron, Santiago Ramón
Della Nave, Facundo
Paruelo, José María
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Normalized Difference Vegetation Index
Ecosytems
Índice Normalizado Diferencial de la Vegetación
Ecosistema
ENSO
NDVI
Región Patagónica
topic Normalized Difference Vegetation Index
Ecosytems
Índice Normalizado Diferencial de la Vegetación
Ecosistema
ENSO
NDVI
Región Patagónica
dc.description.none.fl_txt_mv The temporal trend of aboveground net primary production (ANPP) is frequently used to estimate the human effect on ecosystems. In water-limited ecosystems, like most grazing areas in the world, human effects act upon ANPP in combination with environmental variations. Our main objective was to quantify long-term (1981-2012) changes of ANPP and discriminate the causes of these changes between environmental and human at a subcontinental scale, across vast areas of Patagonia. We estimated ANPP through a radiative model based on remote sensing data. Then, we evaluated the relation between ANPP and environmental interannual variations of two hierarchically related factors: ENSO, through the Southern Oscillation Index, SOI, and precipitation. We described the human effect through the shape of the temporal trends of the residuals of the environmental model (RESTREND) and quantified human relative impact through the RESTREND: ANPP trend ratio. ANPP interannual variation was significantly explained by ENSO (through SOI) and precipitation in 65% of the study area. The Southern Oscillation Index had a positive association with annual precipitation. The association between ANPP and annual precipitation was positive. RESTREND analysis was statistically significant in 92% of the area where the tested environmental model worked, representing 60% of the study area, and it was mostly negative. However, its magnitude, revealed through the RESTREND: ANPP trend ratio, was relatively mild. Our analysis revealed that most of ANPP trends were associated with climate and that even when human density is low, its incidence seems to be mainly negative.
Instituto de Clima y Agua
Fil: Irisarri, Jorge Gonzalo Nicolás. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina
Fil: Texeira González, Marcos Alexis. Universidad de Buenos Aires. Facultad de Agronomia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina
Fil: Oesterheld, Martin. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina
Fil: Veron, Santiago Ramón. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información; Argentina
Fil: Della Nave, Facundo. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina
Fil: Paruelo, José María. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina
description The temporal trend of aboveground net primary production (ANPP) is frequently used to estimate the human effect on ecosystems. In water-limited ecosystems, like most grazing areas in the world, human effects act upon ANPP in combination with environmental variations. Our main objective was to quantify long-term (1981-2012) changes of ANPP and discriminate the causes of these changes between environmental and human at a subcontinental scale, across vast areas of Patagonia. We estimated ANPP through a radiative model based on remote sensing data. Then, we evaluated the relation between ANPP and environmental interannual variations of two hierarchically related factors: ENSO, through the Southern Oscillation Index, SOI, and precipitation. We described the human effect through the shape of the temporal trends of the residuals of the environmental model (RESTREND) and quantified human relative impact through the RESTREND: ANPP trend ratio. ANPP interannual variation was significantly explained by ENSO (through SOI) and precipitation in 65% of the study area. The Southern Oscillation Index had a positive association with annual precipitation. The association between ANPP and annual precipitation was positive. RESTREND analysis was statistically significant in 92% of the area where the tested environmental model worked, representing 60% of the study area, and it was mostly negative. However, its magnitude, revealed through the RESTREND: ANPP trend ratio, was relatively mild. Our analysis revealed that most of ANPP trends were associated with climate and that even when human density is low, its incidence seems to be mainly negative.
publishDate 2021
dc.date.none.fl_str_mv 2021-09-01
2023-04-04T20:19:26Z
2023-04-04T20:19:26Z
info:eu-repo/date/embargoEnd/2024-04-04
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12123/14398
https://onlinelibrary.wiley.com/doi/10.1111/gcb.15733
1365-2486
https://doi.org/10.1111/gcb.15733
url http://hdl.handle.net/20.500.12123/14398
https://onlinelibrary.wiley.com/doi/10.1111/gcb.15733
https://doi.org/10.1111/gcb.15733
identifier_str_mv 1365-2486
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv restrictedAccess
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 Wiley
publisher.none.fl_str_mv Wiley
dc.source.none.fl_str_mv Global Change Biology 27 (18) : 1-34 (September 2021)
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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