Abstract
Bigeye tuna is the dominant species of tuna caught in the territorial waters of the Indian Ocean and a productive tropical species which accounts for more than 10% of the total catch in the whole world. Distribution of bigeye tuna can be predicted through optimum temperature associated with the presence of bigeye tuna and distribution of chlorophyll-a is associated with the presence of small pelagic fish. The distribution of sea surface temperature and chlorophyll-a can be detected through remote sensing systems. The purpose of this study was to determine the relationship between sea surface temperature and chlorophyll-a by the number of bigeye tuna catches in the waters south of Java and Bali, and mapped the area catching bigeye tuna in the waters south of Java and Bali. The method used is a second order polynomial regression analysis to determine the effect of sea surface temperature and chlorophyll-a by the number of bigeye tuna catches as well as correlation analysis to determine the relationship of sea surface temperature and chlorophyll-a by the number of bigeye tuna catches. Sea surface temperature and chlorophyll-a is related to the number of bigeye tuna catches. The results of the analysis showed a strong relationship between sea surface temperature and chlorophyll-a by the number of bigeye tuna catches. Bigeye tuna fishing grounds in the waters south of Java and Bali are in a position 12oS-15oS and 106°E-118°E.
Highlights
Abstrak Tuna mata besar merupakan jenis tuna yang dominan tertangkap di wilayah perairan Samudera Hindia dan merupakan spesies tropis produktif yang menyumbang lebih dari 10% dari total tangkapan di seluruh dunia
The results of the analysis showed a strong relationship between sea surface temperature and chlorophyll-a by the number of bigeye tuna catches
Pemanfaatan data satelit oseanografi untuk prediksi daerah potensial penangkapan tuna mata besar (Thunnus obesus) di Samudra Hindia selatan Jawa-Bali
Summary
Pada tahun 1997-1999 merupakan puncak dari tangkapan tuna mata besar mencapai 150.000 hingga 160.000 ton. Para nelayan umumnya masih menggunakan cara tradisional dengan menentukan lokasi banyaknya burung berterbangan di atas permukaan air yang menandakan terdapatnya kelompok ikan-ikan kecil yang merupakan makanan tuna mata besar. Melimpahnya fitoplankton di suatu perairan mengindikasikan tingginya produktivitas perairan dan keberadaan ikan pelagis kecil yang merupakan makanan utama dari tuna mata besar (Semedi dan Safitri, 2014). Pengukuran parameter oseanografi suhu permukaan laut dan klorofil-a di selatan Jawa dan Bali dapat dilakukan menggunakan sistem penginderaan jauh dengan citra satelit (Putra dkk., 2012).
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