KETERKAITAN KONDISI OSEANOGRAFI DENGAN PERIKANAN PELAGIS DI PERAIRAN SELAT BALI
Abstract
Perikanan pelagis di perairan Selat Bali telah diusahakan sejak lama. Data runtut tahun hasil tangkapan yang didaratkan cenderung berfluktuasi. Kajian ini bertujuan untuk mengetahui kondisi spasial dan temporal karakteristik oseanografi, terkait dengan dengan dinamika perikanan pelagis di Selat Bali. Data parameter oseanografi meliputi suhu permukaan laut (SPL) dan klorofill-a (chl-a) yang diperoleh dari citra satelit penginderaan jauh Aqua/Terra MODIS, sedangkan data sumberdaya perikanan pelagis berupa hasil tangkapan/satuan upaya (Catch per Unit Effort, CPUE) ikan pelagis diperoleh dari Tempat Pendaratan Ikan (TPI) Pengambengan, Jembrana - Bali pada periode Januari 2007 hingga Desember 2015. Uji statistik regresi linear berganda digunakan untuk mengetahui pengaruh parameter oseanografi terhadap kondisi perubahan sumberdaya perikanan pelagis. Sebaran spasial SPL menunjukkan bahwa pada Mei hingga November suhu permukaan laut cenderung rendah serta tidak ada perbedaan yang signifikan antara suhu di perairan pantai dan di laut lepas. Secara temporal terlihat bahwa suhu terendah terjadi pada musim timur yaitu pada Agustus 2007. Sebaran spasial chl-a menunjukkan bahwa peningkatan konsentrasi chl-a dimulai dari Mei hingga Oktober serta terdapat perbedaan yang signifikan antara chl-a perairan pantai dan laut lepas. Secara temporal terlihat bahwa konsentrasi chl-a tertinggi terjadi pada Oktober 2015. Faktor iklim yang merupakan faktor eksternal memberikan pengaruh terhadap perubahan konsentrasi chl-a pada lokasi penelitian. Faktor iklim tersebut adalah kecepatan angin dan kejadian El-Nino. Hasil analisis statistik menunjukkan bahwa perubahan parameter SPL dan chl-a secara bersama-sama berpengaruh signifikan terhadap perubahan CPUE ikan pelagis, namun secara parsial parameter chl-a memberikan pengaruh yang lebih signifikan dibandingkan dengan parameter SPL.
Pelagic fisheries around Bali Strait have been exploited since decades. Based on monthly and annual landing data, fish production around Bali strait are very fluctuated. This study aims to determine the spatial and temporal conditions of oceanographic characteristics and how they relate to the dynamics of pelagic fisheries in the Bali Strait. The oceanographic parameter data consist of sea surface temperature (SST) and chlorophyll-a (chl-a) that obtained from Aqua / Terra MODIS remote sensing satellite imagery, while the dynamics of pelagic fish resource data indicated by Catch per Unit Effort (CPUE) derrived from landing place (TPI) Pengambengan, Jembrana - Bali in the period January 2007 to December 2015. Multiple linear regression analysis were applied to determine the effect of oceanographic parameters on the changing conditions of pelagic fishery resources. Spatial distribution of SPL indicates that in May to November sea surface temperature tends to be low and there is no significant difference between the temperature in coastal waters and on high seas. The temporal distribution shows that the lowest temperature occurred during the southeast monsoon in August 2007. The spatial distribution of chl-a showed that the chl-a concentration starts to increase from May to October and there were significant differences between chl-a coastal waters and high seas. The temporal distribution shows that the highest chl-a concentration occurred in October 2015. Climate factor which is an external factor has an effect on the change of chl-a concentration at the research location. Climatic factors are wind speed and El-Nino events. The result of the statistical analysis shows that the change of SPL and chl-a parameters together significantly influence on the CPUE of pelagic fish, but partially chl-a parameter gives highly significant effect than SST parameter.
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Alianto, E., Adiwilaga, M., & Damar, A. (2008). Produktivitas primer fitoplankton dan keterkaitannya dengan unsur hara dan cahaya di perairan Teluk Banten. Jurnal Ilmu-Ilmu Perairan dan Perikanan Indonesia. 15(1), 21-26.
Boyer, J.N., Kelble, C.R., Ortner, P.B., & Rudnick, D.T. (2009). Phytoplankton bloom status: Chlorophyll a biomass as an indicator of water quality condition in the southern estuaries of Florida, USA. Journal Ecological Indicators. 9S, S56-S67.
Carpenter, K.E. & Niem, V.H. (1999). Fao species identification guide for fishery purposes. The Living Marine Resources of The Western Central Pacific. Vol.3. Batoid Fishes, Chimaeras and Bony Fishes Part 1. Roma: FAO.
Casal, G., Furey, T., Dabrowski, T., & Nolan, G. (2015). Generating a long-term series of SST and chlorophyll-a for the coast of Ireland. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. XL-7/W3, 933-940.
Falkowski, P. G., Katz, M. E., Knoll, A. H., Quigg, A., Raven, J. A., Schofield, O., & Taylor, F. J. R. (2004). The evolution of modern eukaryotic phytoplankton. Science. 305, 354-360.
Felip, M. & Catalan, J. (2000). The relationship between phytoplankton biovolume and chlorophyll in a deep oligotrophic lake: decoupling in their spatial and temporal maxima. Journal of Plankton Research, 91-105.
Ghofar, A., Mathews, C.P., Merta, I.G.S., & Salim, S. (2000). Incorporating the southern oscillation indices to the management model of the Bali Strait Sardinella fishery. The Workshop On The Fishery And Management of Bali Sardinella (Sardinella Lemuru) In Bali Strait, 43-52.
Gordon, A. L. 2005. Oceanography of the Indonesian Seas and Their Throughflow. Oceanography. 18(4), 14-27.
Hendiarti, N., Siegel, H., & Ohde, T. (2004). Investigation of different coastal processes in Indonesian water using SeaWiFS data. Deep Sea Research Part II: Tropical Studies in Oceanography. 51(1-3), 85-97.
Hendiarti, N., Suwarso, E. Aldrian, K. Amri, R. Andiastuti, S.I. Sachoemar, & Wahyono, I.B. (2005). Seasonal variation of pelagic fish catch around Java. Oceanography. 18(4), 112–123.
Hinton, M.G. & Maunder, M.N. (2003). Methods for standardizing CPUE and how to select among them. Inter-American Tropical Tuna Commission. La Jolla, California.
Jatisworo, D., & Murdimanto, A. (2013). Identifikasi thermal front di Selat Makassar dan Laut Banda. Simposium Nasional Sains Geoinformasi – III 2013 (pp. 226-232). Yogjakarta, Indonesia.
Kahru, M., Kudela, R.M., Anderson, C.R., Manzano-Sarabia, M., & Mitchell, B.G. (2014). Evaluation of satellite retrievals of ocean chlorophyll-a in the California Current. Remote Sensing. 6, 8524-8540.
Kasim, F. (2012). Pendekatan beberapa metode dalam monitoring perubahan garis pantai menggunakan dataset penginderaan jauh Landsat dan SIG. Jurnal Ilmiah Agropolitan. 5(1), 620-635.
Khasanah, R.I., Sartimbul, A., & Herawati, E.Y. (2013). Kelimpahan dan keanekaragaman plankton di perairan Selat Bali. Jurnal Ilmu Kelautan. 18(4), 193-202.
Lavigne, H., Ortenzio, F.D., D’Alcala, M.R., Claustre, H., Sauzede, R., & Gacic, M. (2015). On the vertical distribution of the chlorophyll-a concentration in the Mediterranean Sea: a basin-scale and seasonal approach. Journal biogesciences.12, 5021-5039.
McNaughton, B.D. (2008). A Biological and Social Examination of Opelu (Decapterus spp.) Fisheries in West Hawaii. Environmental Science, University of Hawaii.
Merta, I.G.S., Widana, K., Yunizal., & Basuki, R. (2000). Status of the lemuru fishery in Bali Strait Its development and prospect. The workshop On The Fishery And Management of Bali Sardinella (Sardinella Lemuru) In Bali Strait (pp. 1-42).
Navarro, G. & Ruiz, J. (2006). Spatial and temporal variability of phytoplankton in the Gulf of Cadiz through remote sensing images. Deep-sea Research II. 53, 1241-1260.
Nurdin, S., Mustapha, M.A., Lihan, T., & Ghaffar, M.A. (2015). Determination of potential fishing ground of Rastrelliger kanagurta using satellite remote sensing and GIS technique. Sains Malaysiana. 44(2), 225-232.
Poisson F. (2006). Compilation of information on neritic tuna species in the Indian Ocean IOTC-2006-SC-INF11.
Pradini, S., Rahardjo, M.F., & Kaswadji, R. (2001). Kebiasaan makanan ikan lemuru (Sardinella lemuru) di Perairan Muncar, Banyuwangi. Jurnal Iktiologi Indonesia. 1(1), 41-45.
Pratiwi, N.T.M., Wulandari, D.Y., Ayu, I.P., & Iswantari, A. (2017). Diversity and spatial distribution of plankton in connected waters of Bali Strait, between eastern part of Java an western part of Bali Island. IOP Conf. Series: Earth and Environmental Science. 54.
Purwanto. (2011). Bio-economic optimal levels of the Bali Strait sardine fishery operating in a fluctuating environment. Ind.Fish Res. Journal. 17(1), 1-12.
Rintaka, W.E., & Susilo, E. (2015). Analisis model suhu, klorofil-a, net primary productivity (NPP) kaitannya terhadap jumlah tangkapan lemuru (Sardinella lemuru) di perairan selat Bali. Prosiding Simposium Nasional II Kelautan dan Perikanan (pp. 407-416). Makassar, Indonesia: Fakultas Ilmu Kelautan dan Perikanan, Universitas Hasanudin.
Roessig, J.M., Woodley, C.M., Cech Jr, J.J., & Hansen, L.J. (2004). Effects of global climate change on marine and estuarine fishes and fisheries. Reviews in Fish Biology and Fisheries. 14, 251-275.
Rohit, P., & Shanbhogue, S.L. (2005). Age and growth of Decapterus roselii and D. macrosoma along Karnataka coast, India. J. Mar. Biol. Ass. 47(2), 180-184.
Rojas, O., Li, Y., Cumani, R. (2014). Understanding the drought impact of El Nino on the global agricultural areas. Food and Agriculture Organization of the United Nations. ISBN 978-92-5-108671-1.
Sartimbul, A., Nakata, H., Rohadi, E., Yusuf, B., & Kadarisman, H.P. (2010). Variations in chlorophyll-a concentration and the impact on Sardinella lemuru catches in Bali Strait, Indonesia. Progress in Oceanography. 87, 168-174.
Siwi, W.E.R., Priyono, B., & Agustiadi, T. (2015). Observasi karakteristik perairan Selat Bali melalui pendekatan insitu dan numerik. Bunga Rampai Observasi Oseanografi di Indonesia (pp.13-25). Jembrana, Bali: Balai Penelitian dan Observasi Laut.
Suniada, K.I., Islamy, F., Saputra, A.J., Hadianti, S., Mahardhika, R.M.P., & Susilo, E. (2015). Dinamika oseanografi terhadap hasil tangkapan ikan pelagis PPN Pengambengan dari data satelit MODIS. Seminar Nasional Penginderaan Jauh 2015 (pp. 567-574). Bogor, Indonesia: Lembaga Penerbangan dan Antariksa Nasional.
Susanto, R.D., & Marra, J. (2005). The effect of 1997/98 El-Nino on chlorophyll a variability along the southern coasts of Java and Sumatra. Journal Oceanography.18(4), 124-127.
Susanto, R.D., Moore, T.S., & Marra, J. (2006). Ocean color variability in the Indonesian Seas during the SeaWiFS era. An Electronic Journal of the Earth Sciences. 7(5), 1-16.
Susilo, E., & Pancawati, Y. (2014). Distribusi spasial kelimpahan plankton di Selat Bali. Seminar Nasional Kelautan (pp. 179-189). Denpasar, Indonesia: Balai Penelitian dan Observasi Laut.
Syahailatua, A. (2008). Dampak perubahan iklim terhadap perikanan. Oseana. 33(2), 25–32.
Walpole, R.E. (1993). Pengantar statistika. PT. Gramedia Pustaka Utama, Jakarta.
Webster, P.J., Magana, V.O., Palmer, T.N., Shukla, J., Tomas, R.A., Yanai, M., & Yasunari, T. (1998). Monsoons: Processes, predictability, and the prospect for prediction. Journal of Geophysical Research.103.
Wibawa, T.A. (2011). Pemanfaatan data satelit oseanografi untuk prediksi daerah potensial penangkapan tuna mata besar (T. obesus) di Samudera Hindia Selatan Jawa Bali. Jurnal Segara. 7(1), 29-41.
Zainuddin, M., Newman, A., Farhum, S.A., Najamuddin, Hajar, M.A.I., Kurnia, M., & Sudirman. (2013). Characterizing potential fishing zone of skipjack tuna during the southeast monsoon in the Bone Bay-Flores Sea using remotely sensed oceanographic data. International Journal of Geosciences. 4, 259-266.
DOI: http://dx.doi.org/10.15578/jppi.23.4.2017.275-286
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