et al., P. (2024). A Literature Review: Local Ecological Knowledge in Fishing Technology Aspects. Egyptian Journal of Aquatic Biology and Fisheries, 28(6), 703-715. doi: 10.21608/ejabf.2024.393869
Paillin et al.. "A Literature Review: Local Ecological Knowledge in Fishing Technology Aspects". Egyptian Journal of Aquatic Biology and Fisheries, 28, 6, 2024, 703-715. doi: 10.21608/ejabf.2024.393869
et al., P. (2024). 'A Literature Review: Local Ecological Knowledge in Fishing Technology Aspects', Egyptian Journal of Aquatic Biology and Fisheries, 28(6), pp. 703-715. doi: 10.21608/ejabf.2024.393869
et al., P. A Literature Review: Local Ecological Knowledge in Fishing Technology Aspects. Egyptian Journal of Aquatic Biology and Fisheries, 2024; 28(6): 703-715. doi: 10.21608/ejabf.2024.393869
A Literature Review: Local Ecological Knowledge in Fishing Technology Aspects
One of the essential elements of sustainable fishing technology management is local ecological knowledge (LEK). LEK provides valuable insights into fishing grounds, fishing gear, and target species, passed down through generations of experience. This study employed a Systematic Literature Review (SLR) approach, a methodological framework for conducting comprehensive and transparent literature reviews based on the preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. This study aimed to evaluate the application of LEK in fishing technology by focusing on three aspects: fishing grounds, fishing gear, and target species. Data were gathered from peer-reviewed journals in the Scopus database covering the years 2018 to 2023. The results indicate that LEK is instrumental in identifying fishing grounds, selecting and utilizing fishing gear, and locating target species that hold ecological and economic value. Integrating LEK with modern science can lead to more effective and sustainable fisheries management policies, addressing the current lack of documentation, scientific recognition, and integration of LEK within contemporary scientific frameworks.
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