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Investigating Stakeholder Perceptions of Fish Decline: Making Sense of Multiple Mental Models

Authors: Jeremy Horowitz; Robert L. Pressey; Georgina G. Gurney; Amelia S. Wenger; Kristina A. Pahang;

Investigating Stakeholder Perceptions of Fish Decline: Making Sense of Multiple Mental Models

Abstract

Stakeholders have different educational backgrounds, personal experiences and priorities that contribute to different perceptions about what causes natural resource decline and how to sustain a resource. Yet stakeholders have a common interest, which is to keep the resource of interest from declining. Effective co-management requires sharing of perceptions pertaining to the sustainability of a resource and making decisions that benefit all stakeholders. Therefore, this study used modified causal networks, referred to here as mental models, to elicit and compare stakeholder perceptions about fish decline in the Danajon Bank, Philippines. Perceptions were elicited from three types of stakeholders, each composed of two or three elicitation groups: fishers, local government and environmental organizations. Data were also elicited through semi-structured discussions to investigate why perceptions differed and how stakeholders communicated with one another. Hierarchical clustering revealed two broad clusters of similar perceptions about drivers of fish decline: one being environmental groups and the second being local government and fisher groups. Stakeholder communication patterns revealed that communication was weakest between environmental groups and fishers. A likely contributing factor for the lack of shared perceptions was that knowledge-sharing was constrained by the small number of environmental personnel available to exchange information effectively with the much larger number of fishers and local government personnel. To better co-manage fish populations in Danajon Bank, we suggest modifications to the governance framework to improve knowledge-sharing and social and ecological outcomes.

Country
Australia
Keywords

Monitoring, 330, Philippines, Marine Protected Areas, Fisheries, resource management; conservation interventions; conservation outcomes; information exchange; communication patterns; knowledge-sharing, 577, conservation outcomes, TJ807-830, Conservation, communication patterns, TD194-195, 333, Renewable energy sources, conservation interventions, resource management, GE1-350, Ecosystem Services, Planning and Development, information exchange, Governance, Sustainability and the Environment, Policy and Law, Environmental effects of industries and plants, 3305 Geography, Management, 2105 Renewable Energy, Environmental sciences, Community Perceptions, 2308 Management, knowledge-sharing, Networks, Ecological Knowledge

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    12
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Top 10%
Average
Top 10%
Green
gold