Disentangling the signal of climatic fluctuations from land use : changes in ecosystem functioning in South American protected areas (1982-2012)

Autores
Dieguez, Hernán; Paruelo, José María
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Fil: Dieguez, Hernán. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información. Buenos Aires, Argentina.
Fil: Dieguez, Hernán. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA). Laboratorio de Análisis Regional y Teledetección (LART) Buenos Aires, Argentina.
Fil: Dieguez, Hernán. CONICET – Universidad de Buenos Aires. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA). Laboratorio de Análisis Regional y Teledetección (LART) Buenos Aires, Argentina.
Fil: Paruelo, José María. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información. Buenos Aires, Argentina.
Fil: Paruelo, José María. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA). Laboratorio de Análisis Regional y Teledetección (LART) Buenos Aires, Argentina.
Fil: Paruelo, José María. CONICET – Universidad de Buenos Aires. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA). Laboratorio de Análisis Regional y Teledetección (LART) Buenos Aires, Argentina.
Fil: Paruelo, José María. Universidad de la República. Facultad de Ciencias. Instituto de Ecología y Ciencias Ambientales (IECA). Montevideo, Uruguay.
Global environmental change is characterized by changing climate, atmospheric composition and land use. Its impact on ecosystem structure and functioning has been detected throughout the world. While every ecosystem is vulnerable to climate change, the degree of the impact and the magnitude of the ecosystem response are likely to vary. Protected areas of South America provide a ‘laboratory’ to test expectations of climate change effects on ecosystems at a regional scale. By using protected areas we minimized the effects of land use/land cover changes over ecosystem functioning. We analyzed the temporal trends, that is, directional changes, and spatial heterogeneity of both climatic variables and attributes of the seasonal dynamics of the normalized difference vegetation index, that is, a surrogate of vegetation carbon gains derived from satellite information, on 201 protected areas of South America. Increased productivity and higher seasonality, frequently climate driven, is the most common signal across South American biomes but concentrated on those areas located in the tropics and subtropics. In general, arid and semiarid sites responded positively to increases in precipitation and negatively to increases in temperature, while humid ecosystems responded in the opposite way. Our results provide a preliminary basis for predicting which ecosystems will respond more rapidly and strongly to climate change. We also provide support to the fact that protected areas are not static systems as their functioning is changing with different magnitude and in contrasting directions.
tbls., grafs., mapas
Fuente
Remote Sensing in Ecology and Conservation
Vol.3, no.4
177-189
https://www.wiley.com
Materia
CLIMATE CHANGE
GIMMS
LONG TERM TRENDS
NDVI
SEASONALITY
SENSITIVITY
Nivel de accesibilidad
acceso abierto
Condiciones de uso
acceso abierto
Repositorio
FAUBA Digital (UBA-FAUBA)
Institución
Universidad de Buenos Aires. Facultad de Agronomía
OAI Identificador
snrd:2017dieguez

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oai_identifier_str snrd:2017dieguez
network_acronym_str FAUBA
repository_id_str 2729
network_name_str FAUBA Digital (UBA-FAUBA)
spelling Disentangling the signal of climatic fluctuations from land use : changes in ecosystem functioning in South American protected areas (1982-2012)Dieguez, HernánParuelo, José MaríaCLIMATE CHANGEGIMMSLONG TERM TRENDSNDVISEASONALITYSENSITIVITYFil: Dieguez, Hernán. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información. Buenos Aires, Argentina.Fil: Dieguez, Hernán. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA). Laboratorio de Análisis Regional y Teledetección (LART) Buenos Aires, Argentina.Fil: Dieguez, Hernán. CONICET – Universidad de Buenos Aires. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA). Laboratorio de Análisis Regional y Teledetección (LART) Buenos Aires, Argentina.Fil: Paruelo, José María. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información. Buenos Aires, Argentina.Fil: Paruelo, José María. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA). Laboratorio de Análisis Regional y Teledetección (LART) Buenos Aires, Argentina.Fil: Paruelo, José María. CONICET – Universidad de Buenos Aires. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA). Laboratorio de Análisis Regional y Teledetección (LART) Buenos Aires, Argentina.Fil: Paruelo, José María. Universidad de la República. Facultad de Ciencias. Instituto de Ecología y Ciencias Ambientales (IECA). Montevideo, Uruguay.Global environmental change is characterized by changing climate, atmospheric composition and land use. Its impact on ecosystem structure and functioning has been detected throughout the world. While every ecosystem is vulnerable to climate change, the degree of the impact and the magnitude of the ecosystem response are likely to vary. Protected areas of South America provide a ‘laboratory’ to test expectations of climate change effects on ecosystems at a regional scale. By using protected areas we minimized the effects of land use/land cover changes over ecosystem functioning. We analyzed the temporal trends, that is, directional changes, and spatial heterogeneity of both climatic variables and attributes of the seasonal dynamics of the normalized difference vegetation index, that is, a surrogate of vegetation carbon gains derived from satellite information, on 201 protected areas of South America. Increased productivity and higher seasonality, frequently climate driven, is the most common signal across South American biomes but concentrated on those areas located in the tropics and subtropics. In general, arid and semiarid sites responded positively to increases in precipitation and negatively to increases in temperature, while humid ecosystems responded in the opposite way. Our results provide a preliminary basis for predicting which ecosystems will respond more rapidly and strongly to climate change. We also provide support to the fact that protected areas are not static systems as their functioning is changing with different magnitude and in contrasting directions.tbls., grafs., mapas2017info:eu-repo/semantics/articlepublishedVersioninfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfdoi:10.1002/rse2.39issn:2056-3485http://ri.agro.uba.ar/greenstone3/library/collection/arti/document/2017dieguezRemote Sensing in Ecology and ConservationVol.3, no.4177-189https://www.wiley.comreponame:FAUBA Digital (UBA-FAUBA)instname:Universidad de Buenos Aires. Facultad de Agronomíaenginfo:eu-repo/semantics/openAccessopenAccesshttp://ri.agro.uba.ar/greenstone3/library/page/biblioteca#section42025-09-29T13:42:05Zsnrd:2017dieguezinstacron:UBA-FAUBAInstitucionalhttp://ri.agro.uba.ar/Universidad públicaNo correspondehttp://ri.agro.uba.ar/greenstone3/oaiserver?verb=ListSetsmartino@agro.uba.ar;berasa@agro.uba.ar ArgentinaNo correspondeNo correspondeNo correspondeopendoar:27292025-09-29 13:42:06.621FAUBA Digital (UBA-FAUBA) - Universidad de Buenos Aires. Facultad de Agronomíafalse
dc.title.none.fl_str_mv Disentangling the signal of climatic fluctuations from land use : changes in ecosystem functioning in South American protected areas (1982-2012)
title Disentangling the signal of climatic fluctuations from land use : changes in ecosystem functioning in South American protected areas (1982-2012)
spellingShingle Disentangling the signal of climatic fluctuations from land use : changes in ecosystem functioning in South American protected areas (1982-2012)
Dieguez, Hernán
CLIMATE CHANGE
GIMMS
LONG TERM TRENDS
NDVI
SEASONALITY
SENSITIVITY
title_short Disentangling the signal of climatic fluctuations from land use : changes in ecosystem functioning in South American protected areas (1982-2012)
title_full Disentangling the signal of climatic fluctuations from land use : changes in ecosystem functioning in South American protected areas (1982-2012)
title_fullStr Disentangling the signal of climatic fluctuations from land use : changes in ecosystem functioning in South American protected areas (1982-2012)
title_full_unstemmed Disentangling the signal of climatic fluctuations from land use : changes in ecosystem functioning in South American protected areas (1982-2012)
title_sort Disentangling the signal of climatic fluctuations from land use : changes in ecosystem functioning in South American protected areas (1982-2012)
dc.creator.none.fl_str_mv Dieguez, Hernán
Paruelo, José María
author Dieguez, Hernán
author_facet Dieguez, Hernán
Paruelo, José María
author_role author
author2 Paruelo, José María
author2_role author
dc.subject.none.fl_str_mv CLIMATE CHANGE
GIMMS
LONG TERM TRENDS
NDVI
SEASONALITY
SENSITIVITY
topic CLIMATE CHANGE
GIMMS
LONG TERM TRENDS
NDVI
SEASONALITY
SENSITIVITY
dc.description.none.fl_txt_mv Fil: Dieguez, Hernán. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información. Buenos Aires, Argentina.
Fil: Dieguez, Hernán. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA). Laboratorio de Análisis Regional y Teledetección (LART) Buenos Aires, Argentina.
Fil: Dieguez, Hernán. CONICET – Universidad de Buenos Aires. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA). Laboratorio de Análisis Regional y Teledetección (LART) Buenos Aires, Argentina.
Fil: Paruelo, José María. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información. Buenos Aires, Argentina.
Fil: Paruelo, José María. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA). Laboratorio de Análisis Regional y Teledetección (LART) Buenos Aires, Argentina.
Fil: Paruelo, José María. CONICET – Universidad de Buenos Aires. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA). Laboratorio de Análisis Regional y Teledetección (LART) Buenos Aires, Argentina.
Fil: Paruelo, José María. Universidad de la República. Facultad de Ciencias. Instituto de Ecología y Ciencias Ambientales (IECA). Montevideo, Uruguay.
Global environmental change is characterized by changing climate, atmospheric composition and land use. Its impact on ecosystem structure and functioning has been detected throughout the world. While every ecosystem is vulnerable to climate change, the degree of the impact and the magnitude of the ecosystem response are likely to vary. Protected areas of South America provide a ‘laboratory’ to test expectations of climate change effects on ecosystems at a regional scale. By using protected areas we minimized the effects of land use/land cover changes over ecosystem functioning. We analyzed the temporal trends, that is, directional changes, and spatial heterogeneity of both climatic variables and attributes of the seasonal dynamics of the normalized difference vegetation index, that is, a surrogate of vegetation carbon gains derived from satellite information, on 201 protected areas of South America. Increased productivity and higher seasonality, frequently climate driven, is the most common signal across South American biomes but concentrated on those areas located in the tropics and subtropics. In general, arid and semiarid sites responded positively to increases in precipitation and negatively to increases in temperature, while humid ecosystems responded in the opposite way. Our results provide a preliminary basis for predicting which ecosystems will respond more rapidly and strongly to climate change. We also provide support to the fact that protected areas are not static systems as their functioning is changing with different magnitude and in contrasting directions.
tbls., grafs., mapas
description Fil: Dieguez, Hernán. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información. Buenos Aires, Argentina.
publishDate 2017
dc.date.none.fl_str_mv 2017
dc.type.none.fl_str_mv info:eu-repo/semantics/article
publishedVersion
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 doi:10.1002/rse2.39
issn:2056-3485
http://ri.agro.uba.ar/greenstone3/library/collection/arti/document/2017dieguez
identifier_str_mv doi:10.1002/rse2.39
issn:2056-3485
url http://ri.agro.uba.ar/greenstone3/library/collection/arti/document/2017dieguez
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
openAccess
http://ri.agro.uba.ar/greenstone3/library/page/biblioteca#section4
eu_rights_str_mv openAccess
rights_invalid_str_mv openAccess
http://ri.agro.uba.ar/greenstone3/library/page/biblioteca#section4
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv Remote Sensing in Ecology and Conservation
Vol.3, no.4
177-189
https://www.wiley.com
reponame:FAUBA Digital (UBA-FAUBA)
instname:Universidad de Buenos Aires. Facultad de Agronomía
reponame_str FAUBA Digital (UBA-FAUBA)
collection FAUBA Digital (UBA-FAUBA)
instname_str Universidad de Buenos Aires. Facultad de Agronomía
repository.name.fl_str_mv FAUBA Digital (UBA-FAUBA) - Universidad de Buenos Aires. Facultad de Agronomía
repository.mail.fl_str_mv martino@agro.uba.ar;berasa@agro.uba.ar
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