Oceanografyc Satellite Data Utilisation For Tuna (Thunnus Obesus) Fishing Ground Prediction In The Indian Ocean, Southern Part Of Jawa-Bali

Abstract

Responsibl e and sustainable fisheries management require essential information of identified important habitat of each fish species on whole their life cycles. Bigeye tuna is one of the large pelagic fish which has a high economic value in Indonesian waters. Oceanographic factors have an important role in determining the distribution of bigeye tuna habitat. The availability of oceanographic satellite data in near real-time and continuously observe condition of some oceanographic parameters, can be used as an approach to identify bigeye tuna habitat. The aim of the research was to predict the distribution of bigeye tuna potential fishing ground in southern Indian Ocean off Java-Bali during southeast monsoon period. Bigeye tuna catchment data encompassed during southeast monsoon period of 2004-2007 were derived from longliners based on Benoa Harbour, Bali. Oceanographic variables were sea surface chlorophyll-a concentration (SSC), sea surface temperature (SST), sea surface. Th e selected GAM equation was used to predict the distribution of bigeye tuna potential fishing ground. GAM analysis revealed that GAM which constructed from the combination of SSC, SST, SSHA and EKE, statistically has the highest accuracy in explaining hook rate of bigeye tuna variation. Monthly prediction of bigeye tuna’s potential fishing ground on June, July, August, September and November, indicated it’s suitability with the real bigey e tuna fishing ground.