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dc.contributor.author
Zampieri, Matteo  
dc.contributor.author
Grizzetti, Bruna  
dc.contributor.author
Meroni, Michele  
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Scoccimarro, Enrico  
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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  
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PRECIPITATION  
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PRIMARY PRODUCTION  
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RELIABILITY  
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RESILIENCE INDICATOR  
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STABILITY  
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WATER RESOURCES  
dc.subject.classification
Meteorología y Ciencias Atmosféricas  
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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