Mostrar el registro sencillo del ítem
dc.contributor.author
Zampieri, Matteo
dc.contributor.author
Grizzetti, Bruna
dc.contributor.author
Meroni, Michele
dc.contributor.author
Scoccimarro, Enrico
dc.contributor.author
Vrieling, Anton
dc.contributor.author
Naumann, Gustavo
dc.contributor.author
Toreti, Andrea
dc.date.available
2022-01-07T15:55:53Z
dc.date.issued
2019-11
dc.identifier.citation
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
dc.identifier.issn
2072-4292
dc.identifier.uri
http://hdl.handle.net/11336/149788
dc.description.abstract
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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Molecular Diversity Preservation International
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
ECOSYSTEM SERVICES
dc.subject
NDVI
dc.subject
PRECIPITATION
dc.subject
PRIMARY PRODUCTION
dc.subject
RELIABILITY
dc.subject
RESILIENCE INDICATOR
dc.subject
STABILITY
dc.subject
WATER RESOURCES
dc.subject.classification
Meteorología y Ciencias Atmosféricas
dc.subject.classification
Ciencias de la Tierra y relacionadas con el Medio Ambiente
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
Annual green water resources and vegetation resilience indicators: Definitions, mutual relationships, and future climate projections
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2020-12-16T18:33:52Z
dc.journal.volume
11
dc.journal.number
22
dc.journal.pagination
1-13
dc.journal.pais
Suiza
dc.description.fil
Fil: Zampieri, Matteo. Joint Research Centre; Italia
dc.description.fil
Fil: Grizzetti, Bruna. Joint Research Centre; Italia
dc.description.fil
Fil: Meroni, Michele. Joint Research Centre; Italia
dc.description.fil
Fil: Scoccimarro, Enrico. No especifíca;
dc.description.fil
Fil: Vrieling, Anton. No especifíca;
dc.description.fil
Fil: Naumann, Gustavo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Toreti, Andrea. Joint Research Centre; Italia
dc.journal.title
Remote Sensing
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2072-4292/11/22/2708
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.3390/rs11222708
Archivos asociados