Consulta: subjectFacets:"Bayesian belief network"
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Data/hora: 11/06/2024 12:37:47

A Bayesian belief network model for community-based coastal resource management in the Kei Islands, Indonesia
Provedor de dados: 7
Autores: Hoshino, Eriko; CSIRO Oceans and Atmosphere, Hobart, TAS, Australia; Tasmanian School of Business and Economics, University of Tasmania, Hobart, TAS, Australia; eriko.hoshino@csiro.au; van Putten, Ingrid; CSIRO Oceans and Atmosphere, Hobart, TAS, Australia; Centre for Marine Socioecology, University of Tasmania, Hobart, TAS, Australia; Ingrid.vanputten@csiro.au; Girsang, Wardis; Faculty of Agriculture, University of Pattimura, Ambon, Indonesia; girsang_2010@yahoo.com; Resosudarmo, Budy P; Indonesia Project, Arndt-Corden Department of Economics, Crawford School of Public Policy, Australian National University, ACT, Australia; budy.resosudarmo@anu.edu.au; Yamazaki, Satoshi; Tasmanian School of Business and Economics, University of Tasmania, Hobart, TAS, Australia; Centre for Marine Socioecology, University of Tasmania, Hobart, TAS, Australia; satoshi.yamazaki@utas.edu.au.
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...
Tipo: Peer-Reviewed Reports
Palavras-chave: Bayesian belief network; Community-based management; Customary marine tenure; Indonesia; Small-scale fisheries; Social-ecological systems.
Ano: 2016