Sensitivity Analysis in Socio-Ecological Models as a Tool in Environmental Policy for Sustainability

Isabel Banos-Gonzalez, Julia Martínez-Fernández, Miguel-Ángel Esteve-Selma and Patricia Esteve-Guirao
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Isabel Banos-Gonzalez: Departamento de Didáctica de las Ciencias Experimentales, University of Murcia, 30100 Espinardo, Spain
Julia Martínez-Fernández: New Water Culture Foundation/Sustainability Observatory of Murcia Region, University of Murcia, 30100M Espinardo, Spain
Miguel-Ángel Esteve-Selma: Department of Ecology and Hydrology, University of Murcia, 30100 Espinardo, Spain
Patricia Esteve-Guirao: Departamento de Didáctica de las Ciencias Experimentales, University of Murcia, 30100 Espinardo, Spain

Sustainability, 2018, vol. 10, issue 8, 1-30

Abstract: The assessment of environmental policies and sustainability in socio-ecological systems (SES) should be tackled from a holistic perspective, using methodologies such as dynamic system models. However, the integral assessment of SES generally suffers from high levels of uncertainty. In this work, the potential of sensitivity analysis (SA) to assess uncertainty and its implications in SES models, specifically in the Fuerteventura sustainability model, has been explored. An extensive SA was applied in different stages of model development and application. The different SA techniques applied allowed, besides a detailed assessment of robustness, the identification of leverage points and their application to define environmental policies and management measures intended to improve sustainability. The results suggest that measures based on leverage points identified by the SA in the model are more effective than others proposed so far by different agents. Furthermore, the assessment of uncertainty of measures thought to contribute to sustainability shows that, when uncertainty ranges are considered, the thresholds of some sustainability indicators might be exceeded, whereas mean values would not. Therefore, the surpassing of some sustainability thresholds might go unnoticed if uncertainties are not considered in the policy analysis. This work shows SA to be a powerful tool that provides important insights to policy makers and end users, with regard to improving environmental policies for sustainability.

Keywords: leverage point; policy assessment; sustainability indicators; system dynamic models; uncertainty (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:10:y:2018:i:8:p:2928-:d:164287

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