Using case study data to understand SES interactions : a model-centered meta-analysis of SES framework applications
Villamayor Tomás, Sergio (Universitat Autònoma de Barcelona. Institut de Ciència i Tecnologia Ambientals)
Oberlack, Christoph (University of Bern)
Epstein, Graham (University of Central Florida)
Partelow, Stefan (Leibniz Centre for Tropical Marine Research)
Roggero, Matteo (Humboldt-Universität zu Berlin)
Kellner, Elke (Swiss Federal Institute for Forest. Snow and Landscape Research)
Tschopp, Maurice (University of Bern)
Cox, Michael (Dartmouth College)

Data:	2020
Resum:	Studying social-ecological interactions systematically is difficult when dealing with case study data. The methodological flexibility inherent in case studies facilitates the discovery of complex relationships between social and ecological variables; however, it also poses problems for knowledge accumulation given the diverse ways that variables are measured, as well as the descriptive approaches to causal inference that are typically employed. This article builds on the Social-Ecological Systems Framework (SESF) to systematically compare interactions among variables across case studies. We adopt a 'model-centered' meta-analysis of existing SESF case studies, in which the units of analysis are causal explanations including sets of variables and their effects on outcomes (i. e. 'models'). Our analysis encompassed 30 studies and resulted in the formalization of 125 models. The analysis illustrates opportunities to assess interactions at different levels of detail. The paper concludes by proposing strategies to advance the study and reporting of interactions in case studies to foster a better understanding of dynamics and outcomes of environmental sustainability.
Nota:	Unidad de excelencia María de Maeztu CEX2019-000940-M
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.
Llengua:	Anglès
Document:	Article de revisió ; recerca ; Versió acceptada per publicar
Publicat a:	Current opinion in environmental sustainability, Vol. 44 (June 2020) , p. 48-57, ISSN 1877-3435

DOI: 10.1016/j.cosust.2020.05.002

Postprint 15 p, 825.9 KB

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