Probabilistic assessments of climate change impacts on durum wheat in the Mediterranean region (Articolo in rivista)

Type

• Articolo in rivista (Classe)
• Prodotto della ricerca (Classe)

Label

• Probabilistic assessments of climate change impacts on durum wheat in the Mediterranean region (Articolo in rivista) (literal)

Anno

• 2011-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

• 10.5194/nhess-11-1293-2011 (literal)

Alternative label

• Ferrise, R.; Moriondo, M.; Bindi, M. (2011)
  Probabilistic assessments of climate change impacts on durum wheat in the Mediterranean region
  in Natural hazards and earth system sciences (Print)
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Ferrise, R.; Moriondo, M.; Bindi, M. (literal)

Pagina inizio

• 1293 (literal)

Pagina fine

• 1302 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume

• 11 (literal)

Rivista

• Natural hazards and earth system sciences (Rivista)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali

• 10 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo

• 5 (literal)

Note

• ISI Web of Science (WOS) (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• IBIMET CNR; University of Florence (literal)

Titolo

• Probabilistic assessments of climate change impacts on durum wheat in the Mediterranean region (literal)

Abstract

• In this study, a probabilistic framework for evaluating the risk of durum wheat yield shortfall over the Mediterranean Basin has been exploited. An artificial neural network, trained to emulate the outputs of a process-based crop growth model, has been adopted to create yield response surfaces which are then overlaid with probabilistic projections of future temperature and precipitation changes in order to estimate probabilistic projections of future yields. The risk is calculated as the relative frequency of projected yields below a selected threshold. (literal)
• Recently, the availability of multi-model ensemble prediction methods has permitted a shift from a scenario-based approach to a risk-based approach in assessing the effects of climate change. This provides more useful information to decision-makers who need probability estimates to assess the seriousness of the projected impacts. (literal)

Prodotto di

• Institute for biometeorology (IBIMET) (Istituto)

Autore CNR

• ROBERTO FERRISE (Unità di personale esterno)
• MARCO MORIONDO (Unità di personale interno)

Incoming links:

Prodotto

• Institute for biometeorology (IBIMET) (Istituto)

Autore CNR di

• MARCO MORIONDO (Unità di personale interno)
• ROBERTO FERRISE (Unità di personale esterno)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi

• Natural hazards and earth system sciences (Rivista)