Mostrar el registro sencillo del ítem

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


Ficheros en el ítem

Thumbnail
Thumbnail
Thumbnail
Thumbnail
Thumbnail

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem

Atribución 4.0 Internacional
Excepto si se señala otra cosa, la licencia del ítem se describe como Atribución 4.0 Internacional