Sánchez-Jiménez, Astrid, Fujitani, Marie ORCID: https://orcid.org/0000-0001-5445-7629, MacMillan, Douglas, Schlüter, Achim ORCID: https://orcid.org/0000-0002-0046-7263 and Wolff, Matthias ORCID: https://orcid.org/0000-0001-7458-983X (2019) Connecting a Trophic Model and Local Ecological Knowledge to Improve Fisheries Management: The Case of Gulf of Nicoya, Costa Rica. Frontiers in Marine Science, 6 . p. 126. DOI https://doi.org/10.3389/fmars.2019.00126.

[img] Text
Sanchez-Jimenez 2019.pdf - Published Version
Restricted to Registered users only
Available under License Creative Commons: Attribution 4.0.

Download (5MB)


Trophic models of the Ecopath with Ecosim (EwE) type and local ecological knowledge (LEK) have widely been applied to fisheries assessment and management. However, there are no specific methodologies describing how LEK from local fishers can be incorporated with the scientific data from the models in the context of ecosystem-based fisheries management. To our knowledge this is the first contribution exploring a systematic integration of LEK with EwE modeled output. An EwE food web model of the Nicoya Gulf ecosystem constructed 20 years ago and recently revisited by the authors and collaborators, was used in workshops to stimulate discussion among local stakeholders regarding changes in the marine ecosystem. For this study, 58 artisanal fishers were recruited to eight workshops. To assess the LEK, we documented the discussions, and the qualitative data were analyzed with quantitative frequency of responses to identify trends. Next, we systematically compared the changes in the fishery over time through an analysis of similar, complementary, and contradictory information across knowledge systems. In general, the analysis across systems reflected changes in species composition of the catches, paralleled by a harvest reduction in high-trophic-level species, as well as economic losses due to a shift in harvesting low-value species and due to an increase in operational costs. Particularly, we identified (1) similar pieces of information that delivered the same message, providing robust evidence of changes in the social–ecological system; (2) information complementary to each other, which together provided a broader picture (descriptors and attributes) of the changes of some fishing resources; and (3) conflicting pieces of information that indicated mismatches between sources of knowledge, which might suggest the cause of management problems. This study demonstrated how integrating knowledge systems can enhance our understanding of the state and changes in ecosystems, helping to improve fisheries management. We also found that an EwE model can be an effective communication tool to be used with fishers and to promote discussion and engagement. Our aspiration is to bring new and replicable tools to the policy interface in Latin-American fisheries, based on both stakeholder participation (including LEK) and the best scientific information available.

Document Type: Article
Programme Area: UNSPECIFIED
Research affiliation: Social Sciences > Institutional and Behavioural Economics
Integrated Modelling > Resource Management
Refereed: Yes
Open Access Journal?: Yes
DOI: https://doi.org/10.3389/fmars.2019.00126
ISSN: 2296-7745
Date Deposited: 20 Jun 2019 12:40
Last Modified: 26 Mar 2024 13:28
URI: http://cris.leibniz-zmt.de/id/eprint/2129

Actions (login required)

View Item View Item