The relationship between the energy-food-water nexus and the climate is non-linear, multi-sectoral and time sensitive, incorporating aspects of complexity and risk in climate related decision-making. This paper seeks to explore how knowledge co-production can help identify opportunities for building more effective, sustainable, inclusive and legitimate decision making processes on climate change. This would enable more resilient responses to climate risks impacting the nexus while increasing transparency, communication and trust among key actors. We do so by proposing the operationalization of an interdisciplinary approach of analysis applying the novel methodology developed in Howarth and Monasterolo (2016). Through a bottom-up, participative approach, we present results of five themed workshops organized in the UK (focusing on: shocks and hazards, infrastructure, local economy, governance and governments, finance and insurance) featuring 78 stakeholders from academia, government and industry. We present participant's perceptions of opportunities that can emerge from climate and weather shocks across the energy-food-water nexus. We explore opportunities offered by the development and deployment of a transdisciplinary approach of analysis within the nexus boundaries and we analyse their implications. Our analysis contributes to the current debate on how to shape global and local responses to climate change by reflecting on lessons learnt and best practice from cross-stakeholder and cross-sectorial engagement. In so doing, it helps inform a new generation of complex systems models to analyse climate change impact on the food-water-energy Nexus.
Identifer | oai:union.ndltd.org:VIENNA/oai:epub.wu-wien.ac.at:5896 |
Date | January 2017 |
Creators | Monasterolo, Irene, Howarth, Candice |
Publisher | Elsevier |
Source Sets | Wirtschaftsuniversität Wien |
Language | English |
Detected Language | English |
Type | Article, PeerReviewed |
Format | application/pdf |
Rights | Creative Commons: Attribution 4.0 International (CC BY 4.0) |
Relation | http://dx.doi.org/10.1016/j.envsci.2017.05.019, http://www.elsevier.com, http://epub.wu.ac.at/5896/ |
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