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, D., Patty, W., Kekenusa, J., Mandagi, S., Angmalisang, P., Rogi, J., Budiman, J., Fauzy, A., Momuat, L. (2025). Spatial and Temporal Analysis of Scad Fish (Decapterus spp.) Catches in the Sulawesi Sea in Relation to Oceanography Parameters Using a Generalized Additive Models. EKB Journal Management System, 29(6), 979-1003. doi: 10.21608/ejabf.2025.389185.5945
Djoni Hatidja; Wilhelmina Patty; John Socrates Kekenusa; Stephanus V Mandagi; Ping Astony Angmalisang; Johannes E.X Rogi; Johnny Budiman; Akhmad Fauzy; Lidya Irma Momuat. "Spatial and Temporal Analysis of Scad Fish (Decapterus spp.) Catches in the Sulawesi Sea in Relation to Oceanography Parameters Using a Generalized Additive Models". EKB Journal Management System, 29, 6, 2025, 979-1003. doi: 10.21608/ejabf.2025.389185.5945
Hatidja, D., Patty, W., Kekenusa, J., Mandagi, S., Angmalisang, P., Rogi, J., Budiman, J., Fauzy, A., Momuat, L. (2025). 'Spatial and Temporal Analysis of Scad Fish (Decapterus spp.) Catches in the Sulawesi Sea in Relation to Oceanography Parameters Using a Generalized Additive Models', EKB Journal Management System, 29(6), pp. 979-1003. doi: 10.21608/ejabf.2025.389185.5945
Hatidja, D., Patty, W., Kekenusa, J., Mandagi, S., Angmalisang, P., Rogi, J., Budiman, J., Fauzy, A., Momuat, L. Spatial and Temporal Analysis of Scad Fish (Decapterus spp.) Catches in the Sulawesi Sea in Relation to Oceanography Parameters Using a Generalized Additive Models. EKB Journal Management System, 2025; 29(6): 979-1003. 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

Egyptian Journal of Aquatic Biology and Fisheries
Volume 29, Issue 6, November and December 2025, Pages 979-1003    PDF (1.56 M)
Document Type: Original Article
DOI: 10.21608/ejabf.2025.389185.5945
Authors
Djoni Hatidja* 1; Wilhelmina Patty2; John Socrates Kekenusa3; Stephanus V Mandagi4; Ping Astony Angmalisang5; Johannes E.X Rogi6; Johnny Budiman2; Akhmad Fauzy7; Lidya Irma Momuat8
1Department of Mathematics, Faculty of Mathematics and Natural Sciences, Sam Ratulangi University,Manado, Indonesia
2Department of Fishery Product Processing, Faculty of Fisheries and Marine Science, Sam Ratulangi University, Manado, Indonesia
3Department of Mathematics, Faculty of Mathematics and Natural Sciences, Sam Ratulangi University, Manado, Indonesia
4Department of Aquatic Resources Management, Faculty of Fisheries and Marine Science, Sam Ratulangi University, Manado, Indonesia
5Department of Aquatic Resources Management, Faculty of Fisheries and Marine Sciences, Sam Ratulangi University, Manado, Indonesia
6Postgraduate Program Sam Ratulangi University, Manado, Indonesia
7Department of Statistics, Faculty of Matematics and Natural Sciences, Universitas Islam Indonesia, Yogyakarta, Indonesia
8Department of Chemistry Faculty of Mathematics and Natural Sciences, Sam Ratulangi University, Manado, Indonesia
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
Chlorophyll-a; Oceanography; Sulawesi Sea; Spatial; Temporal
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