Operationalizing Habitat Suitability Modeling into a Web-Based System for Predicting Skipjack Tuna Fishing Grounds

Gilar Budi Pratama; Lady Ayu Sri Wijayanti

doi:10.55927/eajmr.v5i4.76

Authors

Gilar Budi Pratama Universitas Padjadjaran
Lady Ayu Sri Wijayanti Universitas Padjadjaran

DOI:

https://doi.org/10.55927/eajmr.v5i4.76

Keywords:

Habitat suitability index, Generalized Additive Model, fishing ground prediction, web-based fisheries system

Abstract

Habitat suitability modeling is frequently used to identify fishing grounds, yet its outputs often remain confined to scientific publications rather than operational systems. This study developed FishPost (Fishing Prediction and Oceanographic Spatial Tool), a web-based platform that operationalizes skipjack tuna habitat models into an interactive spatial tool. The system integrates monthly Habitat Suitability Index (HSI) maps derived from a Generalized Additive Model (GAM) covering Fisheries Management Areas 573, 713, and 714. Key environmental predictors include sea surface temperature, sea surface height, salinity, and current velocity. FishPost enables users to visualize spatial HSI distributions and evaluate fishing zone potential through both geographic coordinate extraction and environmental parameter inputs. By transforming complex scientific models into a digital interface, FishPost bridges the gap between research and practical fisheries management, representing a significant step toward the digitalization of oceanographic data for operational use.

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