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González Rosell, Adrián, Blanco Fonseca, Maria ORCID: https://orcid.org/0000-0002-7491-3262 and Arfa, Imen
ORCID: https://orcid.org/0000-0002-2467-3758
(2020).
Integrating Stakeholder Views and System Dynamics to Assess the Water–Energy–Food Nexus in Andalusia.
"Water", v. 12
(n. 11);
p. 3172.
ISSN 2073-4441.
https://doi.org/10.3390/w12113172.
Title: | Integrating Stakeholder Views and System Dynamics to Assess the Water–Energy–Food Nexus in Andalusia |
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Author/s: |
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Item Type: | Article |
Título de Revista/Publicación: | Water |
Date: | 13 November 2020 |
ISSN: | 2073-4441 |
Volume: | 12 |
Subjects: | |
Faculty: | Centro de Estudios e Investigación para la Gestión de Riesgos Agrarios y Medioambientales (CEIGRAM) (UPM) |
Department: | Economía Agraria, Estadística y Gestión de Empresas |
UPM's Research Group: | Economía Agraria y Gestión de los Recursos Naturales |
Creative Commons Licenses: | Recognition - Non commercial - Share |
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A nexus approach can support the transition to sustainability by addressing trade-offs and pursuing synergies to improve water, energy, and food security. In this paper, a participatory system dynamics model was developed to identify and assess the key interlinkages between water, food, and energy in Andalusia (Spain). A panel of relevant stakeholders contributed to all stages of the model’s development. Further, by calibrating the model to CAPRI-Water projections until 2050, the evolution of the system under a plausible climate scenario, as well as effects of water prices changes, was evaluated. The results revealed a close link between water cost, irrigation water use, energy consumption, and the economic development of agriculture in the region. Large variability was observed in the effects of water pricing policies across crops. This paper concludes that a participatory system dynamics model can help in understanding the nexus synergies and can support the design of more coherent sustainability strategies in the region.
Item ID: | 65445 |
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DC Identifier: | https://oa.upm.es/65445/ |
OAI Identifier: | oai:oa.upm.es:65445 |
DOI: | 10.3390/w12113172 |
Official URL: | https://doi.org/10.3390/w12113172 |
Deposited by: | Prof. Maria Blanco |
Deposited on: | 17 Nov 2020 09:57 |
Last Modified: | 17 Nov 2020 09:59 |