Spatial modeling of potential lobster harvest grounds in Palabuhanratu bay, West Java, Indonesia

Mutia Kamalia Mukhtar, Masita Dwi Mandini Manessa, Supriatna Supriatna, Liya Tri Khikmawati

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

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 Panulirus homarus (green sand lobster), Panulirus versicolor (bamboo lobster), Panulirus penicillatus (black lobster), and Panulirus ornatus (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: 29.5–29.9C; 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.

Original languageEnglish
Article number16
JournalFishes
Volume6
Issue number2
DOIs
Publication statusPublished - 2021

Keywords

  • Chlorophyll-a
  • Lobster
  • Potential catching grounds
  • Salinity
  • SST
  • TSS

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