Spatial and Temporal Analysis of Scad Fish (Decapterus spp.) Catches in the Sulawesi Sea in Relation to Oceanography Parameters Using a Generalized Additive Models

Hatidja, Djoni; Patty, Wilhelmina; Kekenusa, John Socrates; Mandagi, Stephanus V; Angmalisang, Ping Astony; Rogi, Johannes E.X; Budiman, Johnny; Fauzy, Akhmad; Momuat, Lidya Irma

doi:10.21608/ejabf.2025.389185.5945

Spatial and Temporal Analysis of Scad Fish (Decapterus spp.) Catches in the Sulawesi Sea in Relation to Oceanography Parameters Using a Generalized Additive Models

Document Type : Original Article

Authors

¹ Department of Mathematics, Faculty of Mathematics and Natural Sciences, Sam Ratulangi University,Manado, Indonesia

² Department of Fishery Product Processing, Faculty of Fisheries and Marine Science, Sam Ratulangi University, Manado, Indonesia

³ Department of Mathematics, Faculty of Mathematics and Natural Sciences, Sam Ratulangi University, Manado, Indonesia

⁴ Department of Aquatic Resources Management, Faculty of Fisheries and Marine Science, Sam Ratulangi University, Manado, Indonesia

⁵ Department of Aquatic Resources Management, Faculty of Fisheries and Marine Sciences, Sam Ratulangi University, Manado, Indonesia

⁶ Postgraduate Program Sam Ratulangi University, Manado, Indonesia

⁷ Department of Statistics, Faculty of Matematics and Natural Sciences, Universitas Islam Indonesia, Yogyakarta, Indonesia

⁸ Department of Chemistry Faculty of Mathematics and Natural Sciences, Sam Ratulangi University, Manado, Indonesia

10.21608/ejabf.2025.389185.5945

Abstract

Accurate identification of fishing grounds (FG) is essential for optimizing the catch of scad fish, which are highly influenced by dynamic oceanographic factors. This study aims to analyze the spatial and temporal patterns of scad fish catches in the Sulawesi Sea, employing sea surface temperature (SST) and chlorophyll-a (CHL) concentration parameters via the generalized additive models (GAM). SST and CHL data were obtained from Aqua MODIS satellite imagery (January–December 2022). Meanwhile, data on scad catches were collected from 85 sampling points via the Tumumpa coastal fishing port office in Manado. The results show that scad catches were significantly influenced by SST (non-linear relationship, optimum at 29.50–30.00 °C) and CHL (positive linear relationship). The peak catches (2.78–4.96 tons) occurred in coastal areas (area 3) during March–May with SST and CHL ranging from 29.79– 30.40°C and 0.19–0.24mg/ m³, respectively. Offshore areas yielded lower catches due to suboptimal SST and CHL. The results demonstrate the potential of satellite-derived environmental variables to enhance the precision of FG predictions and contribute to more informed fisheries management practices. These findings support ecosystem-based fisheries management and real-time ocean monitoring through satellite data integration to enable adaptive and sustainable decision-making.

Keywords