Scheda di dettaglio – i prodotti della ricerca
| Dato | Valore |
|---|---|
| Title | Integration of local and scientific knowledge to support drought impact monitoring: some hints from an Italian case study |
| Abstract | According to the Hyogo Framework for Action, increasing resilience to drought requires the development of a people-centered monitoring and early warning system, or in other words, a system capable of providing useful and understandable information to the community at risk. To achieve this objective, it is crucial to negotiate a credible and legitimate knowledge system, which should include both expert and local knowledge. Although several benefits can be obtained, the integration of local and scientific knowledge to support drought monitoring is still far from being the standard in drought monitoring and early warning. This is due to many reasons, that is, the reciprocal skepticism of local communities and decision makers, and the limits in the capacity to understand and assess the complex web of drought impacts. This work describes a methodology based on the sequential implementation of Cognitive Mapping and Bayesian Belief Networks to collect, structure and analyze stakeholders' perceptions of drought impacts. The methodology was applied to analyze drought impacts at Lake Trasimeno (central Italy). A set of drought indicators was developed based on stakeholders' perceptions. A validation phase was carried out comparing the perceived indicators of drought and the physical indicators (i.e., Standard Precipitation Index and the level of the lake). Some preliminary conclusions were drawn concerning the reliability of local knowledge to support drought monitoring and early warning. |
| Source | Natural hazards (Dordr.) 69, pp. 523–544 |
| Keywords | Drought risk managementHyogo Framework for ActionDrought monitoring and early warningParticipatory monitoringCognitive mapBayesian belief network |
| Journal | Natural hazards (Dordr.) |
| Editor | Kluwer Academic Pubishers, Boston, Paesi Bassi |
| Year | 2013 |
| Type | Articolo in rivista |
| DOI | 10.1007/s11069-013-0724-9 |
| Authors | Giordano R., Preziosi E., Romano E. |
| Text | 272930 2013 10.1007/s11069 013 0724 9 Drought risk management Hyogo Framework for Action Drought monitoring and early warning Participatory monitoring Cognitive map Bayesian belief network Integration of local and scientific knowledge to support drought impact monitoring some hints from an Italian case study Giordano R., Preziosi E., Romano E. CNR, Water Research Institute According to the Hyogo Framework for Action, increasing resilience to drought requires the development of a people centered monitoring and early warning system, or in other words, a system capable of providing useful and understandable information to the community at risk. To achieve this objective, it is crucial to negotiate a credible and legitimate knowledge system, which should include both expert and local knowledge. Although several benefits can be obtained, the integration of local and scientific knowledge to support drought monitoring is still far from being the standard in drought monitoring and early warning. This is due to many reasons, that is, the reciprocal skepticism of local communities and decision makers, and the limits in the capacity to understand and assess the complex web of drought impacts. This work describes a methodology based on the sequential implementation of Cognitive Mapping and Bayesian Belief Networks to collect, structure and analyze stakeholders perceptions of drought impacts. The methodology was applied to analyze drought impacts at Lake Trasimeno central Italy . A set of drought indicators was developed based on stakeholders perceptions. A validation phase was carried out comparing the perceived indicators of drought and the physical indicators i.e., Standard Precipitation Index and the level of the lake . Some preliminary conclusions were drawn concerning the reliability of local knowledge to support drought monitoring and early warning. 69 Articolo in rivista Kluwer Academic Pubishers 0921 030X Natural hazards Dordr. Natural hazards Dordr. Nat. hazards Dordr. Natural hazards. Dordr. elisabetta.preziosi PREZIOSI ELISABETTA raffaele.giordano GIORDANO RAFFAELE emanuele.romano ROMANO EMANUELE TA.P04.005.005 Gestione integrata delle informazioni ambientali |