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A Bayesian Belief Network Model for Community-based Coastal Resource Management in the Kei Islands, Indonesia

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dc.contributor.author Hoshino, Eriko
dc.contributor.author van Putten, Ingrid
dc.contributor.author Girsang, Wardis
dc.contributor.author Resosudarmo, Budy P.
dc.contributor.author Yamazaki, Satoshi
dc.date.accessioned 2016-05-09T18:43:43Z
dc.date.available 2016-05-09T18:43:43Z
dc.date.issued 2016 en_US
dc.identifier.uri https://hdl.handle.net/10535/10013
dc.description.abstract "Understanding the specific relationships between ecological and socioeconomic conditions and marine tenure is likely to contribute to successful functioning of self-governance institutions for common-pool resources. Complex interrelationships of factors influencing fishing activities of coastal communities and implementation of customary marine tenure over their waters can be represented in a Bayesian belief network model. We developed a Bayesian belief network model that includes the links between factors for fishing communities in the Kei Islands in Indonesia, based on indepth local surveys. Our results showed that the cumulative impacts of multiple factors on key social, economic, and environmental outcomes can be much larger than the impact from a single source, which implies that management or policy intervention could be more effective when addressing multiple factors simultaneously. The local community's perception of fish stock abundance trends was the single most important factor influencing social, economic, and environmental outcomes of their community-based management system. The frequency of which outsiders were sighted in territorial waters was strongly (negatively) linked to weak or strong implementation of a customary tenure (Sasi) and the occurrence of intervillage and intravillage conflict. Ecological variables also drive these conflicts, which illustrates the close connection between ecological and social outcomes, and the importance of considering social-ecological systems as a whole." en_US
dc.language English en_US
dc.subject social-ecological systems en_US
dc.subject marine resources en_US
dc.subject fisheries en_US
dc.subject CBRM en_US
dc.subject Bayesian learning en_US
dc.title A Bayesian Belief Network Model for Community-based Coastal Resource Management in the Kei Islands, Indonesia en_US
dc.type Journal Article en_US
dc.type.published published en_US
dc.type.methodology Case Study en_US
dc.coverage.region Middle East & South Asia en_US
dc.coverage.country Indonesia en_US
dc.subject.sector Social Organization en_US
dc.subject.sector Theory en_US
dc.identifier.citationjournal Ecology & Society en_US
dc.identifier.citationvolume 21 en_US
dc.identifier.citationnumber 2 en_US

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