KEBIJAKAN PENGELOLAAN UNTUK OPTIMASI PEMANFAATAN SUMBERDAYA CUMI-CUMI DI LAUT ARAFURA (WPP 718)
Abstract
Armada penangkapan yang beroperasi di Laut Arafura terus meningkat, mencapai sekitar 1500 kapal dengan berbagai ukuran pada 2019, dan 40% diantaranya adalah armada penangkap cumi-cumi. Armada kapal penangkap cumi cumi yang beroperasi di Laut Arafura datang dari utara Jawa dan Bali, dengan basis pendaratan di Muara Baru, Cirebon, Probolinggo, dan Benoa. Sampai saat ini permintaan izin alokasi penangkapan kuhususnya armada squid jigging masih terus bertambah, sedangkan disisi lain kondisi sumberdaya dan kapasitas penangkapan cumi-cumi belum diketahui. Kondisi ini telah menimbulkan berbagai permasalahan yang beragam, yang dalam hasil kajian ini dipetakan meliputi daya dukung sumberdaya cumi-cumi, teknologi penangkapan dan tenaga kerja, serta masalah rantai pasok serta sosial budaya. Rekomendasi disampaikan untuk rencana aksi pengelolaan perikanan cumi-cumi di WPP718.
The number of active fishing vessels in the Arafura Sea has increased significantly in recent decades. About 1500 fishing fleets have registered with licenses, while 40% of that vessels are squid-targeting vessels. The fleet predominantly originated from the North of Java and Bali, with ports based in Muara Baru Jakarta, Cirebon, Probolinggo, and Benoa-Bali. Currently, the fishing license demand from Java and Bali fishers is still high and tends to increase yearly. Still, the stock status and fishing capacity of all the fleets targeting squids in the Arafura Sea are unknown. This situation spurs challenges to the management measures, including assessing the carrying capacity of this valuable squid fishery, identifying labor challenges, limiting technological input, identifying and managing the supply chain, and knowing the social culture of the fishery. Recommendations have been addressed to develop the Squid Fishery Management Action Plan in FMA 718 (the Arafura Sea).
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Bannerot, S.P., Austin, C.B., 1983. Using frequency distributions of catch per unit effort to measure fish stock-abundance. Trans. Am. Fish. Soc. 112: 608–617.
Battaile, B. C. & Quinn II, T. J. 2004. Catch per unit effort standardization of the eastern Bering Sea walleye pollock (Theragra chalcogramma) fleet. Fisheries Research 70:161–177
Campbel, R. A. 2004. CPUE standardisation and the construction of indices of stock abundance in a spatially varying fishery using general linear models. Fisheries Research 70: 209–227
Fox, D.S., Starr, R.M., 1996. Comparison of commercial fishery and research catch data. Can. J. Fish. Aquat. Sci. 53: 2681–2694.
Harley, S.J., Myers, R.A., Dunn, A., 2001. Is catch-per-unit effort proportional to abundance? Can. J. Fish. Aquat. Sci. 58: 1760–1772.
NRC (National Research Council), 2000. Improving the Collection, Management, and Use of Marine Fisheries Data. National Academy Press, Washington, DC.
Richards, L. & Schnute, J., 1986. An experimental and statistical approachto the question: is CPUE an index of abundance. Can J.Fish. Aquat. Sci. 43: 1214–1227.
Salthaug, A. & Godo O.R., 2001. Standardisation of commercial CPUE. Fisheries Research 49: 271-281
Sukramongkol, N, Tsuchiya, K. Segawa, S., 2007. Age and maturation of Loligo duvauceli and L. chinensis from Andaman Sea of Thailand. Reviews in Fish Biology and Fisheries 17(2):237-246
DOI: http://dx.doi.org/10.15578/jkpi.15.2.2023.105-113
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