Spatial Modeling of Potential Lobster Harvest Grounds in Palabuhanratu Bay, West Java, Indonesia

• Main Authors: Mutia Kamalia Mukhtar, Masita Dwi Mandini Manessa, Supriatna Supriatna, Liya Tri Khikmawati
• Format: Article
• Language: English
• Published: MDPI AG 2021-04-01
• Series: Fishes
• Subjects: chlorophyll-a; lobster; TSS; salinity; SST; potential catching grounds
• Online Access: https://www.mdpi.com/2410-3888/6/2/16

Palabuhanratu Bay is a location in the southern part of Java Island with a high lobster population. Based on field observation, the lobster population in Palabuhanratu Bay is dominated by <i>Panulirus homarus</i> (green sand lobster), <i>Panulirus versicolor</i> (bamboo lobster), <i>Panulirus penicillatus</i> (black lobster), and <i>Panulirus ornatus</i> (pearl lobster). This study aimed to develop a spatial model using satellite-derived data to predict potential lobster harvest grounds in Palabuhanratu Bay. The Earth observational satellite data used were multispectral Landsat 8-SR imagery, and information about chlorophyll-a, salinity, total suspended solids (TSSs), sea surface temperature (SST), and distance from the coastline was extracted. Multiple linear regression was applied to build the prediction model, which was validated using 10-fold cross-validation. The result of the lobster harvest prediction model agreed with the root-mean-square error (RMSE) and adjusted R² values of 0.326 and 0.708, respectively. The distribution of lobsters was strong at the following preferred ranges: chlorophyll-a: 1.1-1.7 mg/m³; salinity: 20.2-23.7 ppt; TSS: 40-56.4 mg/L; SST: 29.5-29.9 °C; and distance from the coastline: 500-4700 m. In this study, the habitats of four species of lobsters and their relationships with satellite-derived parameters were evaluated.