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Social ties explain catch portfolios of small-scale fishers in the Caribbean
Stockholm University, Faculty of Science, Stockholm Resilience Centre. National Socio‐Environmental Synthesis Center (SESYNC), Maryland, USA; University of Waterloo, Canada.
Stockholm University, Faculty of Science, Stockholm Resilience Centre.ORCID iD: 0000-0002-8218-1153
Number of Authors: 32020 (English)In: Fish and Fisheries, ISSN 1467-2960, E-ISSN 1467-2979, Vol. 21, no 1, p. 120-131Article in journal (Refereed) Published
Abstract [en]

Small-scale fisheries often involve weak management regimes with limited top-down enforcement of rules and minimal support from legal institutions, making them useful model systems for investigating the role of social influence in determining economic and environmental outcomes. In such regimes, interpersonal relationships are expected to have a strong effect on a fisher's catch portfolio, the set of fish species targeted by an individual fisher. Here, we test three competing hypotheses about social influence using belief propagation network models and show that a peer-to-peer information-sharing social network is key to explaining catch portfolios at a small-scale fishery in Jamaica. We find that experience dictates the direction of influence among fishers in the social network, with older fishers and information brokers having distinct roles in shaping catch patterns for large- and small-sized fish species, respectively. These findings highlight concrete opportunities for harnessing social networks in natural resource management. Our new approach to modelling social influence is applicable to many social-ecological systems with minimal legal and institutional support or those that rely heavily on bottom-up participatory processes.

Place, publisher, year, edition, pages
2020. Vol. 21, no 1, p. 120-131
Keywords [en]
belief propagation network models, fisher behaviour, fisheries management, natural resource management, social influence, social networks
National Category
Agricultural Science, Forestry and Fisheries
Identifiers
URN: urn:nbn:se:su:diva-176611DOI: 10.1111/faf.12421ISI: 000493456800001OAI: oai:DiVA.org:su-176611DiVA, id: diva2:1376658
Available from: 2019-12-10 Created: 2019-12-10 Last updated: 2020-01-03Bibliographically approved

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Alexander, Steven M.Bodin, Örjan
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CiteExportLink to record
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  • apa
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  • nn-NB
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Output format
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