Potential fishing grounds of Skipjack tuna (Katsuwonus pelamis) in western water of Sumatera using remotely sensed data and maximum entropy model

Abstract

Abstract The fishery of skipjack tuna (Katsuwonus pelamis) was collected from the vessel monitoring system (VMS) as well as satellite oceanographic data for salinity, chlorophyll-a (chl-a) concentrations, and sea surface temperature (SST) used to determine the effects of oceanographic factors on potential fishing grounds for skipjack tuna in the western water of Sumatera (WWS). Salinity, chl-a and SST data were downloaded from the INDESO project website. The relationship between these parameters and the potential skipjack fishing area was analyzed using a maximum entropy (maxent) model. The Maxent model demonstrated its potential to predict the spatial distribution of skipjack, expressed as the area under the 0.852 curve value. In addition, jackknife test results indicate that the spatial pattern of fishery potential was influenced mainly by chl-a (0.50), followed by salinity (0.43) and SST (0.10). The integration of multi-sensor remote sensing data and modelling methods provides an ingenious way to determine a potential skipjack catch in the western water of Sumatera.