2019
DOI: 10.3390/su11247205
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A Literature Review to Propose a Systematic Procedure to Develop “Nexus Thinking” Considering the Water–Energy–Food Nexus

Abstract: There is a growing interest in the literature on the theme of the water–energy–food nexus, as there is growing recognition that sectors that share natural resources have interdependent and interconnected systems. Despite the widespread popularity of nexus thinking, it still lacks standardized procedures and methodologies to assist in its development. Therefore, this paper proposes, from a literature review, a systematic procedure to assist in the development of management models based on nexus thinking. To thi… Show more

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Cited by 40 publications
(25 citation statements)
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References 146 publications
(251 reference statements)
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“…Using the nexus 'ES key factors-EQSs-ES G&Ss' is expected to gain importance with complex modelling based on Bayesian Networks and/or 'nexus thinking' related to (combinations of) environmental factors-such as the 'water-energy-food' nexus-and decision-making. In this respect, Torres et al [61] stresses the importance of conceptualization of nexus modelling and the inclusion of the ecosystem and related ecosystem services as a central element, as well as the need to restrict the number of elements included in the model structure. Bayesian Networks are decision support tools that are widely used for analyzing impacts on aquatic systems and scenario-analyses in water resources management, although this requires the identification of key system variables and understanding of their mutual relationships [62].…”
Section: Results and Applications Of The Conceptual Modelmentioning
confidence: 99%
“…Using the nexus 'ES key factors-EQSs-ES G&Ss' is expected to gain importance with complex modelling based on Bayesian Networks and/or 'nexus thinking' related to (combinations of) environmental factors-such as the 'water-energy-food' nexus-and decision-making. In this respect, Torres et al [61] stresses the importance of conceptualization of nexus modelling and the inclusion of the ecosystem and related ecosystem services as a central element, as well as the need to restrict the number of elements included in the model structure. Bayesian Networks are decision support tools that are widely used for analyzing impacts on aquatic systems and scenario-analyses in water resources management, although this requires the identification of key system variables and understanding of their mutual relationships [62].…”
Section: Results and Applications Of The Conceptual Modelmentioning
confidence: 99%
“…Step 3: defining the criteria Aspects for the database analysis were defined to ascertain the possibility of integrating information. The criteria were defined from two points: • systematic review of the literature, based on Torres et al (2019), contemplating publications involving the theme "nexus, " in the research platforms aiming to identify authors who deal with information systems for integrated evaluations. The main authors who guided these definitions were: WEF (2011), Eftelioglu et al (2016), Endo et al (2017), Albrecht et al (2018), Embid and Martín (2018), Dai et al (2018), Shannak et al (2018), andMcGrane et al (2019); • survey of the main aspects to be considered in a database to support integrated assessments of the corresponding sectors.…”
Section: Methodsmentioning
confidence: 99%
“…The investigations cited above were defined based on the bibliographic review mentioned in Step 3, as based on the systematic review by Torres et al (2019).…”
Section: Step 4: Analysis Of Databasesmentioning
confidence: 99%
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“…The MSNA's uniqueness lies in its ability to provide prospects for comprehensive policy alignment and nexus-related impacts of implemented policies, highlighting highly relevant reaction mechanisms and relations. This attitude emerged from other multi-intersectoral frameworks, such as ecology-related-services analysis, in that it establishes a framework for integrative information generation and cross-sectoral management by ensuring adequate consideration to all sectors concerned [36,38].…”
Section: Introductionmentioning
confidence: 99%