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dc.contributor.authorGil García, Laura 
dc.contributor.authorMontilla-López, Nazaret M.
dc.contributor.authorGutiérrez Martín, Carlos
dc.contributor.authorSánchez Daniel, Ángel 
dc.contributor.authorSaiz-Santiago, Pablo
dc.contributor.authorPolanco Martínez, Josué M. 
dc.contributor.authorPindado García, Julio 
dc.contributor.authorPérez Blanco, Carlos Dionisio 
dc.coverage.spatialDuero (España), lat=W 8°58'00"-W 2°20'00"; long=42°00'00"-N 40°59'00"es_ES
dc.coverage.temporal2023es_ES
dc.date.accessioned2026-01-23T09:21:19Z
dc.date.available2026-01-23T09:21:19Z
dc.date.issued2024
dc.identifier.citationGil-García, L., Montilla-López, N. M., Gutiérrez-Martín, C., Sánchez-Daniel, Á., Saiz-Santiago, P., Polanco-Martínez, J. M., Pindado, J., & Pérez-Blanco, C. D. (2024). Integrated Climate, Hydrological, and Economic Modelling Dataset for the Douro River Basin. [Dataset]. 2026. GREDOSes_ES
dc.identifier.urihttp://hdl.handle.net/10366/169218
dc.description.abstract[EN]This paper develops an actionable interdisci-plinary model that quantifies and assesses uncertainties in water resource allocation under climate change. To achieve this objective, we develop an innovative socio-ecological grand ensemble that combines climate, hydrological, and mi-croeconomic ensemble experiments with a widely used deci-sion support system for water resource planning and manage-ment. Each system is populated with multiple models (multi-model), which we use to evaluate the impacts of multiple cli-mate scenarios and policies (multi-scenario, multi-forcing) across systems so as to identify plausible futures where wa-ter management policies meet or miss their objectives and to explore potential tipping points. The application of the meth-ods is exemplified by a study conducted in the Douro River basin (DRB), an agricultural basin located in central Spain. Our results show how marginal climate changes can trigger non-linear water allocation changes in the decision support systems (DSSs) and/or non-linear adaptive responses of ir-rigators to water shortages. For example, while some irriga-tors barely experience economic losses (average profit and employment fall by < 0.5 %) under mild water allocation re-ductions of 5 % or lower, profit and employment fall by up to 12 % (∼ 24 ×) when water allocation is reduced by 10 %or less (∼ 2×). This substantiates the relevance of informing the potential natural and socio-economic impacts of adapta-tion strategies and related uncertainties for identifying robust decisions.es_ES
dc.language.isoenges_ES
dc.publisherUniversidad de Salamancaes_ES
dc.relation.isreferencedbyhttps://hdl.handle.net/10366/168792
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectSocio-ecological ensemblees_ES
dc.subjectmicroeconomic modelses_ES
dc.subjecthydrological modelses_ES
dc.subjectwater allocationes_ES
dc.subjectclimate scenarioses_ES
dc.titleIntegrated Climate, Hydrological, and Economic Modelling Dataset for the Douro River Basin [Dataset]es_ES
dc.typeinfo:eu-repo/semantics/datasetes_ES
dc.subject.unesco5308 Economía Generales_ES
dc.subject.unesco2508 Hidrologíaes_ES
dc.subject.unesco2502 Climatologíaes_ES
dc.identifier.doi10.71636/e2x9-dv89
dc.relation.projectIDThis research is part of project no. TED2021-131066B-I00 funded by MCIN/AEI/10.13039/501100011033, by the European Union “NextGenerationEU”/PRTR, by project WADECO (PID2023-146274OB-I00) and by the PRIMA Foun-dation’s TALANOA-WATER project (Talanoa Water dialogue for Transformational Adaptation to Water Scarcity under Climate Change).es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES
dc.publication.year2024


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