Ortiz, Marco and Ayala, Liliana (2024) Assessing the use of fisher knowledge in oceanic eco-social networks of Peru: A comprehensive approach to sustainable fisheries management and governance. Ocean & Coastal Management, 255.
Full text not available from this repository. (Request a copy)Abstract
This study is the first attempt to determine the local stability and resilience of the highly exploited oceanic ecosystem of Peru, integrating the use of fisher knowledge (FK) by government institutions (GI), which could increase sustainable governance and improve the design of management strategies. To do this, five simplified semi-quantitative eco-social models with different levels of complexity were constructed. The Routh-Hurwitz local stability criterion 1 (RH1) showed that all models (with and without the link between FK and GI) exhibited the highest percentages of transient stable states in the scenario of demand and fishers in self-negative feedback (D- & F-). Only the least complex eco-social models (models 1 and 2) exhibited an increase in the average values of Fs (stability) and Fn (resilience) when connecting FK with GI, whereas the more complex models showed the opposite trend. Although the link that connects FK by GI would allow increasing the number of stable transient states in the most complex eco-social models (models 3, 4 and 5), however FK would be self-controlled, that is, an evaluation of the quantity and quality of the information available is required. Since the models constructed are simplifications of the eco-social system studied, they allowed us to identify the conditions of stable/resilient (sustainable) scenarios, which would help us in decision-making and governance based on the use of FK in Peruvian fisheries management and monitoring.
Item Type: | Articles |
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Keywords: | Sustainable Fisheries, Fisheries Management, Governance, Monitoring, Fisheries Knowledge, Government Institutions (GI), Peru, Marine Ecosystems, Fishing Capacity, Fishing Efforts |
Subjects: | Right to Resources |
Depositing User: | Kokila ICSF Krish |
Date Deposited: | 09 Jan 2025 10:10 |
Last Modified: | 09 Jan 2025 10:10 |
URI: | http://icsfarchives.net/id/eprint/21429 |
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