2013
DOI: 10.5751/es-05551-180426
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Comparison of Frameworks for Analyzing Social-ecological Systems

Abstract: ABSTRACT. In this paper we compare 10 established frameworks for analyzing social-ecological systems. We limited ourselves to frameworks that were explicitly designed to be used by a wider community of researchers and practitioners. Although all these frameworks seem to have emerged from the need for concepts that permit structured, interdisciplinary reasoning about complex problems in social-ecological systems, they differ significantly with respect to contextual and structural criteria, such as conceptualiza… Show more

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Cited by 582 publications
(477 citation statements)
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References 48 publications
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“…We did not constrain each team within a single conceptual modeling framework because of the diversity of the topics and team members and a lack of existing conceptual models from the literature that could accommodate this diversity (Binder et al 2013;Fisher et al 2013;Dorward 2014). As a result, the conceptual models ranged from those that were focused on the system components (e.g., Kenney et al 2014, pp.…”
Section: Conceptual Modelsmentioning
confidence: 99%
“…We did not constrain each team within a single conceptual modeling framework because of the diversity of the topics and team members and a lack of existing conceptual models from the literature that could accommodate this diversity (Binder et al 2013;Fisher et al 2013;Dorward 2014). As a result, the conceptual models ranged from those that were focused on the system components (e.g., Kenney et al 2014, pp.…”
Section: Conceptual Modelsmentioning
confidence: 99%
“…The definition of a SES (Glaser et al, 2008;Binder et al, 2013;McGinnis and Ostrom, 2014) refers to any functional unit with tangible and intangible resources, institutions and social actors, delimited by certain activities, conditions or problems. This definition emphasizes that evolution of natural systems and social systems is interdependent.…”
Section: Theoretical Frameworkmentioning
confidence: 99%
“…Parunak et al 1998;Cecconi et al 2010) or with respect to problems such as model application over large systems or geographical extents (e.g. Cioffi-Revilla 2002; Paolucci et al 2012;Binder et al 2013;Rounsevell et al 2013). …”
Section: 'Bottom-up' Modellingmentioning
confidence: 99%