Integration of local and scientific knowledge to support drought impact monitoring: some hints from an Italian case study
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DOI: 10.1007/s11069-013-0724-9
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- Villani, Lorenzo & Castelli, Giulio & Piemontese, Luigi & Penna, Daniele & Bresci, Elena, 2022. "Drought risk assessment in Mediterranean agricultural watersheds: A case study in Central Italy," Agricultural Water Management, Elsevier, vol. 271(C).
- Thirze D. G. Hermans & Robert Šakić Trogrlić & Marc J. C. Homberg & Hannah Bailon & Rebecca Sarku & Anuszka Mosurska, 2022. "Exploring the integration of local and scientific knowledge in early warning systems for disaster risk reduction: a review," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(2), pages 1125-1152, November.
- Solano-Hernandez, A. & Bruzzone, O. & Groot, J. & Laborda, L. & Martínez, A. & Tittonell, P. & Easdale, M.H., 2020. "Convergence between satellite information and farmers’ perception of drought in rangelands of North-West Patagonia, Argentina," Land Use Policy, Elsevier, vol. 97(C).
- E. Preziosi & A. Bon & E. Romano & A. Petrangeli & S. Casadei, 2013. "Vulnerability to Drought of a Complex Water Supply System. The Upper Tiber Basin Case Study (Central Italy)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(13), pages 4655-4678, October.
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Keywords
Drought risk management; Hyogo Framework for Action; Drought monitoring and early warning; Participatory monitoring; Cognitive map; Bayesian belief network;All these keywords.
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