Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Journal of Marine Fisheries
Rahmat Andi Prasetyo
Department of Marine Science, Universitas Brawijaya, Malang, Indonesia
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Immunology & microbiology

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Integration of Fishers’ Local Ecological Knowledge and Satellite Oceanographic Data for Modeling Potential Skipjack Tuna (Katsuwonus pelamis) Fishing Zones in the Southern Waters of East Java Rahmat Andi Prasetyo; Dewi Kartika
Journal of Marine Fisheries Vol. 2 No. 1 (2026): Journal of Marine Fisheries, March 2026
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Kalibra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70716/marfish.v2i1.331

Abstract

Skipjack tuna (Katsuwonus pelamis) represents one of the most economically important pelagic fish in the eastern Indian Ocean, particularly in the southern waters of East Java. This study integrates fishers’ local ecological knowledge (LEK) with satellite-derived oceanographic data to model potential fishing zones. The objective is to improve spatial prediction of fishing grounds by combining experiential knowledge with environmental indicators. The study used a mixed-method approach involving structured interviews with fishers and analysis of sea surface temperature and chlorophyll-a derived from satellite imagery. Spatial modeling was conducted using a habitat suitability approach supported by GIS analysis. Results indicate that optimal fishing zones were consistently associated with sea surface temperatures between 26–29°C and moderate chlorophyll-a concentration. Fishers’ LEK strongly aligned with satellite-based predictions, confirming the reliability of traditional knowledge in identifying productive fishing areas. The integration of both data sources significantly improved spatial accuracy of fishing zone mapping. This study concludes that combining LEK and remote sensing enhances fisheries resource prediction and supports sustainable fishing strategies in tropical marine ecosystems.
Co-Authors Dewi Kartika