Partelow, Stefan ORCID: https://orcid.org/0000-0002-7751-4005, Senff, Paula and Buhari, Nurliah (2017) Operationalizing the social-ecological systems framework in pond aquaculture. . Working Paper Series, 4 . Leibniz Centre for Tropical Marine Research, Bremen, 26 pp. DOI https://doi.org/10.21244/zmt.2017.006.

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Abstract

This study develops and applies an interdisciplinary and mixed method approach to operationalize the social-ecological systems (SES) framework in the context of aquaculture, the fastest growing food sector worldwide. We apply this methodology to conduct a case study of community-based pond aquaculture on the island of Lombok, West Nusa Tenggara,
Indonesia. This diagnostic approach demonstrates how sustainability challenges are interrelated at multiple levels through an analysis applying common-pool resource (CPR) and collective action theories. At the community level, qualitative data show how pond aquaculture systems can beinterpreted as CPR dilemmas and requiring communities to work together to solve them. This primarily relates to the provision of canal infrastructure with up and downstream water users
similar to irrigation systems. Second, at the level of individual ponds, we developed indicators for the Resource System, Resource Unit, Governance and Actor tiers of the SES framework. Indicator data for each pond was measured and transformed into normalized quantitative
scores to examine the relationships between social and ecological outcomes within and between ponds.We combine the results of our multi-level analysis to discuss the broader social-ecological
relationships which link collective action challenges in managing canal infrastructure with pond level outcomes and current government policies for advancing community development. We emphasize the need for increased knowledge and training on effective aquaculture practice as
an underlying driver of current system conditions. This study raises many methodological challenges associated with designing empirically based SES research and building SES theory. We discuss challenges with integrating diverse data types, indicator selection and making
normative assumptions about sustainability.

Document Type:	Report (Working Paper)
Programme Area:	UNSPECIFIED
Research affiliation:	Social Sciences > Institutional and Behavioural Economics
DOI:	https://doi.org/10.21244/zmt.2017.006
Date Deposited:	27 Mar 2023 10:31
Last Modified:	27 Mar 2023 10:57
URI:	http://cris.leibniz-zmt.de/id/eprint/5151

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