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Understanding socio-ecological drivers of spatial allocation choice in a multi-species artisanal fishery: a Bayesian network modeling approach

Citation

Naranjo-Madrigal, H and van Putten, I and Norman-Lopez, A, Understanding socio-ecological drivers of spatial allocation choice in a multi-species artisanal fishery: a Bayesian network modeling approach, Marine Policy, 62 pp. 102-115. ISSN 0308-597X (2015) [Refereed Article]

Copyright Statement

Copyright 2015 Elsevier Ltd

DOI: doi:10.1016/j.marpol.2015.09.003

Abstract

Effective management of artisanal fisheries requires understanding fishers, their behaviors, and the drivers that underpin their choices. Behavioral drivers are critical links in understanding the interactions between social and ecological systems and can help inform effective management approaches. A Bayesian Belief Network modeling approach was used to investigate a diverse range of qualitative and quantitative social and ecological drivers of spatial location choice in a multi-species artisanal dive fishery in Costa Rica. Empirical and observer data used to populate the BBN showed the influence of economic factors, environmental conditions as well as social interactions on the decision-making process of spatial location choice. Good governance scenarios represented by Responsible Fisheries Marine Areas Management were analyzed for both hookah and free diving methods to assess the effects of responsible fishing on the fishers and the fishery. Model based-scenario analysis suggests that management interventions should consider the fisher's potential behavioral responses in the context of environmental variability, dependence on cultural assets, and food security. The results show that there is a need to understand fisher's decisions based on broad socio-ecological system understanding and consider the environmental outcomes alongside food security and the cultural significance of different marine species to fishing communities.

Item Details

Item Type:Refereed Article
Keywords:Bayesian network modeling, fishers behavior drivers, fishing effort allocation, multi-species artisanal fishery, responsible fisheries marine area management, socio-ecological fisheries systems
Research Division:Agricultural and Veterinary Sciences
Research Group:Fisheries Sciences
Research Field:Fisheries Management
Objective Division:Environment
Objective Group:Ecosystem Assessment and Management
Objective Field:Ecosystem Assessment and Management of Marine Environments
Author:van Putten, I (Dr Ingrid Van Putten)
ID Code:106652
Year Published:2015
Web of Science® Times Cited:7
Deposited By:IMAS Research and Education Centre
Deposited On:2016-02-17
Last Modified:2017-11-04
Downloads:0

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