Annual green water resources and vegetation resilience indicators: Definitions, mutual relationships, and future climate projections

Autores
Zampieri, Matteo; Grizzetti, Bruna; Meroni, Michele; Scoccimarro, Enrico; Vrieling, Anton; Naumann, Gustavo; Toreti, Andrea
Año de publicación
2019
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Satellites offer a privileged view on terrestrial ecosystems and a unique possibility to evaluate their status, their resilience and the reliability of the services they provide. In this study, we introduce two indicators for estimating the resilience of terrestrial ecosystems from the local to the global levels. We use the Normalized Differential Vegetation Index (NDVI) time series to estimate annual vegetation primary production resilience. We use annual precipitation time series to estimate annual green water resource resilience. Resilience estimation is achieved through the annual production resilience indicator, originally developed in agricultural science, which is formally derived from the original ecological definition of resilience i.e., the largest stress that the system can absorb without losing its function. Interestingly, we find coherent relationships between annual green water resource resilience and vegetation primary production resilience over a wide range of world biomes, suggesting that green water resource resilience contributes to determining vegetation primary production resilience. Finally, we estimate the changes of green water resource resilience due to climate change using results from the sixth phase of the Coupled Model Inter-comparison Project (CMIP6) and discuss the potential consequences of global warming for ecosystem service reliability.
Fil: Zampieri, Matteo. Joint Research Centre; Italia
Fil: Grizzetti, Bruna. Joint Research Centre; Italia
Fil: Meroni, Michele. Joint Research Centre; Italia
Fil: Scoccimarro, Enrico. No especifíca;
Fil: Vrieling, Anton. No especifíca;
Fil: Naumann, Gustavo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Toreti, Andrea. Joint Research Centre; Italia
Materia
ECOSYSTEM SERVICES
NDVI
PRECIPITATION
PRIMARY PRODUCTION
RELIABILITY
RESILIENCE INDICATOR
STABILITY
WATER RESOURCES
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/149788
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Annual green water resources and vegetation resilience indicators: Definitions, mutual relationships, and future climate projectionsZampieri, MatteoGrizzetti, BrunaMeroni, MicheleScoccimarro, EnricoVrieling, AntonNaumann, GustavoToreti, AndreaECOSYSTEM SERVICESNDVIPRECIPITATIONPRIMARY PRODUCTIONRELIABILITYRESILIENCE INDICATORSTABILITYWATER RESOURCEShttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Satellites offer a privileged view on terrestrial ecosystems and a unique possibility to evaluate their status, their resilience and the reliability of the services they provide. In this study, we introduce two indicators for estimating the resilience of terrestrial ecosystems from the local to the global levels. We use the Normalized Differential Vegetation Index (NDVI) time series to estimate annual vegetation primary production resilience. We use annual precipitation time series to estimate annual green water resource resilience. Resilience estimation is achieved through the annual production resilience indicator, originally developed in agricultural science, which is formally derived from the original ecological definition of resilience i.e., the largest stress that the system can absorb without losing its function. Interestingly, we find coherent relationships between annual green water resource resilience and vegetation primary production resilience over a wide range of world biomes, suggesting that green water resource resilience contributes to determining vegetation primary production resilience. Finally, we estimate the changes of green water resource resilience due to climate change using results from the sixth phase of the Coupled Model Inter-comparison Project (CMIP6) and discuss the potential consequences of global warming for ecosystem service reliability.Fil: Zampieri, Matteo. Joint Research Centre; ItaliaFil: Grizzetti, Bruna. Joint Research Centre; ItaliaFil: Meroni, Michele. Joint Research Centre; ItaliaFil: Scoccimarro, Enrico. No especifíca;Fil: Vrieling, Anton. No especifíca;Fil: Naumann, Gustavo. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Toreti, Andrea. Joint Research Centre; ItaliaMolecular Diversity Preservation International2019-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/149788Zampieri, Matteo; Grizzetti, Bruna; Meroni, Michele; Scoccimarro, Enrico; Vrieling, Anton; et al.; Annual green water resources and vegetation resilience indicators: Definitions, mutual relationships, and future climate projections; Molecular Diversity Preservation International; Remote Sensing; 11; 22; 11-2019; 1-132072-4292CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2072-4292/11/22/2708info:eu-repo/semantics/altIdentifier/doi/10.3390/rs11222708info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:38:58Zoai:ri.conicet.gov.ar:11336/149788instacron: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:34982025-09-29 09:38:58.451CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Annual green water resources and vegetation resilience indicators: Definitions, mutual relationships, and future climate projections
title Annual green water resources and vegetation resilience indicators: Definitions, mutual relationships, and future climate projections
spellingShingle Annual green water resources and vegetation resilience indicators: Definitions, mutual relationships, and future climate projections
Zampieri, Matteo
ECOSYSTEM SERVICES
NDVI
PRECIPITATION
PRIMARY PRODUCTION
RELIABILITY
RESILIENCE INDICATOR
STABILITY
WATER RESOURCES
title_short Annual green water resources and vegetation resilience indicators: Definitions, mutual relationships, and future climate projections
title_full Annual green water resources and vegetation resilience indicators: Definitions, mutual relationships, and future climate projections
title_fullStr Annual green water resources and vegetation resilience indicators: Definitions, mutual relationships, and future climate projections
title_full_unstemmed Annual green water resources and vegetation resilience indicators: Definitions, mutual relationships, and future climate projections
title_sort Annual green water resources and vegetation resilience indicators: Definitions, mutual relationships, and future climate projections
dc.creator.none.fl_str_mv Zampieri, Matteo
Grizzetti, Bruna
Meroni, Michele
Scoccimarro, Enrico
Vrieling, Anton
Naumann, Gustavo
Toreti, Andrea
author Zampieri, Matteo
author_facet Zampieri, Matteo
Grizzetti, Bruna
Meroni, Michele
Scoccimarro, Enrico
Vrieling, Anton
Naumann, Gustavo
Toreti, Andrea
author_role author
author2 Grizzetti, Bruna
Meroni, Michele
Scoccimarro, Enrico
Vrieling, Anton
Naumann, Gustavo
Toreti, Andrea
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv ECOSYSTEM SERVICES
NDVI
PRECIPITATION
PRIMARY PRODUCTION
RELIABILITY
RESILIENCE INDICATOR
STABILITY
WATER RESOURCES
topic ECOSYSTEM SERVICES
NDVI
PRECIPITATION
PRIMARY PRODUCTION
RELIABILITY
RESILIENCE INDICATOR
STABILITY
WATER RESOURCES
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Satellites offer a privileged view on terrestrial ecosystems and a unique possibility to evaluate their status, their resilience and the reliability of the services they provide. In this study, we introduce two indicators for estimating the resilience of terrestrial ecosystems from the local to the global levels. We use the Normalized Differential Vegetation Index (NDVI) time series to estimate annual vegetation primary production resilience. We use annual precipitation time series to estimate annual green water resource resilience. Resilience estimation is achieved through the annual production resilience indicator, originally developed in agricultural science, which is formally derived from the original ecological definition of resilience i.e., the largest stress that the system can absorb without losing its function. Interestingly, we find coherent relationships between annual green water resource resilience and vegetation primary production resilience over a wide range of world biomes, suggesting that green water resource resilience contributes to determining vegetation primary production resilience. Finally, we estimate the changes of green water resource resilience due to climate change using results from the sixth phase of the Coupled Model Inter-comparison Project (CMIP6) and discuss the potential consequences of global warming for ecosystem service reliability.
Fil: Zampieri, Matteo. Joint Research Centre; Italia
Fil: Grizzetti, Bruna. Joint Research Centre; Italia
Fil: Meroni, Michele. Joint Research Centre; Italia
Fil: Scoccimarro, Enrico. No especifíca;
Fil: Vrieling, Anton. No especifíca;
Fil: Naumann, Gustavo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Toreti, Andrea. Joint Research Centre; Italia
description Satellites offer a privileged view on terrestrial ecosystems and a unique possibility to evaluate their status, their resilience and the reliability of the services they provide. In this study, we introduce two indicators for estimating the resilience of terrestrial ecosystems from the local to the global levels. We use the Normalized Differential Vegetation Index (NDVI) time series to estimate annual vegetation primary production resilience. We use annual precipitation time series to estimate annual green water resource resilience. Resilience estimation is achieved through the annual production resilience indicator, originally developed in agricultural science, which is formally derived from the original ecological definition of resilience i.e., the largest stress that the system can absorb without losing its function. Interestingly, we find coherent relationships between annual green water resource resilience and vegetation primary production resilience over a wide range of world biomes, suggesting that green water resource resilience contributes to determining vegetation primary production resilience. Finally, we estimate the changes of green water resource resilience due to climate change using results from the sixth phase of the Coupled Model Inter-comparison Project (CMIP6) and discuss the potential consequences of global warming for ecosystem service reliability.
publishDate 2019
dc.date.none.fl_str_mv 2019-11
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/11336/149788
Zampieri, Matteo; Grizzetti, Bruna; Meroni, Michele; Scoccimarro, Enrico; Vrieling, Anton; et al.; Annual green water resources and vegetation resilience indicators: Definitions, mutual relationships, and future climate projections; Molecular Diversity Preservation International; Remote Sensing; 11; 22; 11-2019; 1-13
2072-4292
CONICET Digital
CONICET
url http://hdl.handle.net/11336/149788
identifier_str_mv Zampieri, Matteo; Grizzetti, Bruna; Meroni, Michele; Scoccimarro, Enrico; Vrieling, Anton; et al.; Annual green water resources and vegetation resilience indicators: Definitions, mutual relationships, and future climate projections; Molecular Diversity Preservation International; Remote Sensing; 11; 22; 11-2019; 1-13
2072-4292
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.mdpi.com/2072-4292/11/22/2708
info:eu-repo/semantics/altIdentifier/doi/10.3390/rs11222708
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Molecular Diversity Preservation International
publisher.none.fl_str_mv Molecular Diversity Preservation International
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
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score 13.070432

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