ANALYSIS OF NET PRIMARY PRODUCTIVITY AND CHLOROPHYLL-A CHARACTERISTICS IN THE BANDA SEA AND ITS SURROUNDINGS
Article Sidebar
-
Chl-a, Hovmöller diagram, NPP, Pearson’s correlation
Abstract
Net primary productivity (NPP) and chlorophyll-a (Chl-a) are indicators of water productivity. In this study, an analysis of NPP and Chl-a characteristics in the Banda Sea was carried out using the Hovmöller diagram and Pearson’s correlation. The NPP data used comes from VGPM and Chl-a from Aqua MODIS satellite. The results of data analysis from January 2003-December 2020, NPP and Chl-a reached highest concentrations in dry season and lowest in wet season. For monthly data, the highest concentrations occurred in August and the lowest in April and December. The waters of the Banda Sea include mesotrophic waters with monthly average of NPP 429 mg C/m2/day and Chl-a 0.24 mg/m3. During La Niña and El Niño, there was a change (decrease/increase) the concentration of NPP and Chl-a in dry season and transition period II. NPP and Chl-a have a high correlation and a strong linear relationship. NPP and Chl-a have almost the same pattern/tendency temporally. The change of NPP concentration temporally corresponded to change of Chl-a concentration. Seasonal factors, La Niña and El Niño have a strong influence in influencing the variability of NPP and Chl-a concentrations. High productivity based on NPP and Chl-a didn’t affect for skipjack and tuna seasons (big pelagic), that occurs in wet season and transition period II. High productivity affects to flying fish season (small pelagic) that occurs in dry season.
References
Atmadipoera, A.S., A.S. Jasmine, M. Purba, & A.R.T.D. Kuswardani. 2020. Upwelling characteristics in the southern Java Waters during strong La Niña 2010 and super El Niño 2015. J. Ilmu dan Teknologi Kelautan Tropis, 12(1): 257-276. https://doi.org/10.29244/jitkt.v12i1.28977
Bailey, M.J., J. Flores, S. Pokajam, & U.R. Sumaila. 2012. Towards better management of coral triangle tuna. Ocean & Coastal Management, 63: 30-42. https://doi.org/10.1016/j.ocecoaman.2012.03.010
Behrenfeld, M.J. & P.G. Falkowski. 1997. Photosynthetic rates derived from satellite-based chlorophyll concentration. Limnology and Oceanography, 42(1): 1–20. https://doi.org/10.4319/lo.1997.42.1.0001
Budiwati, T., A. Budiyono, W. Setyawati, & A. Indrawati. 2010. Analisis korelasi Pearson untuk unsur-unsur kimia air hujan di Bandung. J. Sains Dirgantara, 7(2): 100-112. http://jurnal.lapan.go.id/index.php/jurnal_sains/article/view/1118/1006
Eko, D.N. 2013. Karakteristik curah hujan abad 20 di Jakarta berdasarkan kejadian iklim global. J. Meteorologi dan Geofisika, 14(3): 139-147. https://doi.org/10.31172/jmg.v14i3.165
Garini, B.N., J. Suprijanto, & I. Pratikto. 2021. Kandungan chl-a dan kelimpahan di perairan Kendal, Jawa Tengah. J. of Marine Research, 10(1): 102-108. https://doi.org/10.14710/jmr.v10i1.28655
Gunawan, E.A., A. Agussalim, & H. Surbakti. 2019. Pemetaan sebaran klorofil-a menggunakan citra satelit Landsat multi temporal di Teluk Lampung Provinsi Lampung. J. Maspari, 11(2): 49-58. https://doi.org/10.36706/maspari.v11i2.9467
Hamka, E. & M. Rais. 2016. Penentuan musim penangkapan ikan layang (Decapterus sp.) di perairan timur Sulawesi Tenggara. J. IPTEKS Pemanfaatan Sumberdaya Perikanan, 3(6): 510-517. https://journal.unhas.ac.id/index.php/iptekspsp/article/view/3060
Harahap, M.A., V.P. Siregar, & S.B. Agus. 2019. Spatial and temporal pattern of pelagic fishing ground used oceanography data in West-Sumatera waters. J. Ilmu dan Teknologi Kelautan Tropis, 11(2): 297-310. http://doi.org/10.29244/jitkt.v11i2.22590
Haruna, J.B. Paillin, R.H.S. Tawari, A. Tupamahu, S.R. Siahainenia, & F.D. Silooy. 2019. Dinamika daerah penangkapan tuna madidihang (Thunnus albacores) di perairan Laut Banda. Prosiding Pertemuan Ilmiah Nasional Tahunan XVI ISOI 2019. Ambon, 7-8 November 2019, 89-100 pp. https://www.researchgate.net/publication/342437612
Hu, C., Z. Lee, & B. Franz. 2012. Chlorophyll a algorithms for oligotrophic oceans: A novel approach based on three-band reflectance difference. J. of Geophysical Research, 117(C1): C01011. https://doi.org/10.1029/2011jc007395
Kemili, P. & M.R. Putri. 2012. Pengaruh durasi dan intensitas upwelling berdasarkan anomali suhu permukaan laut terhadap variabilitas produktivitas primer di perairan Indonesia. J. Ilmu dan Teknologi Kelautan Tropis, 4(1): 66-79. https://journal.ipb.ac.id/index.php/jurnalikt/article/view/7807
Lee, Z., J. Marra, M.J. Perry, & M. Kahru. 2014. Estimating oceanic primary productivity from ocean color remote sensing: A strategic assesment. J. of Marine Systems, 149: 50-59. https://doi.org/10.1016/j.jmarsys.2014.11.015
Marpaung, S., R. Faristyawan, A.D. Purwanto, W. Asriningrum, A.G. Suhadha, T. Prayogo, & J. Sitorus. 2020. Analysis of water productivity in the Banda Sea based on remote sensing satellite data. International J. of Remote Sensing and Earth Sciences, 17(1): 25-34. https://doi.org/10.30536/j.ijreses.2020.v17.a3280
Menteri Kelautan dan Perikanan. 2015. Larangan penangkapan ikan di wilayah pengelolaan perikanan Republik Indonesia 714. Peraturan Menteri Kelautan dan Perikanan Nomor 4 Tahun 2015. Kementerian Kelautan dan Perikanan (KKP). Jakarta. 4 p. http://jdih.kkp.go.id/peraturan/4-permen-kp-2015-ttg.pdf
Merina, G. & I.J. Zakaria. 2016. Produktivitas primer fitoplankton dan analisis fisika kimia di perairan laut pesisir barat Sumatera Barat. Metamorfosa J. of Biological Sciences, 3(2): 112-119. https://doi.org/10.24843/metamorfosa.2016.v03.i02.p08
Nababan, B. & K. Simamora. 2012. Variabilitas konsentrasi chl-a dan suhu permukaan laut di Perairan Natuna. J. Ilmu dan Teknologi Kelautan Tropis, 4(1): 121-134. https://doi.org/10.29244/jitkt.v4i1.7815
Nieto, K. & F. Mélin. 2016. Variability of chlorophyll-a concentration in the Gulf of Guinea and its relation to physical oceanographic variables. Progress in Oceanography, 151: 97-115. https://doi.org/10.1016/j.pocean.2016.11.009
Nuzapril, M., S.B. Susilo, & J.P. Panjaitan. 2017. Relationship between chlorophyll-a concentration with primary productivity rate using Landsat 8 imagery. J. Teknologi Perikanan dan Kelautan, 8(1): 105-114. https://doi.org/10.24319/jtpk.8.105-114
O'Reilly, J.E., S. Maritorena, B.G. Mitchell, D.A. Siegel, K.L. Carder, S.A. Garver, M. Kahru, & C.R. McClain. 1998. Ocean color chlorophyll algorithms for SeaWiFS, J. of Geophysical Research, 103: 24937-24953. https://doi.org/10.1029/98JC02160
Paillin, J.B., D.D.P. Matrutty, S.R. Siahainenia, R.H.S. Tawari, Haruna, & P. Talahatu. 2020. Daerah penangkapan potensial tuna madidihang Thunnus albacares, Bonnaterre, 1788 (Teleostei: Scombridae) di Laut Seram. J. Kelautan Tropis, 23(2): 207-216. https://doi.org/10.14710/jkt.v23i2.7073
Persson, A. 2017. The story of Hovmöller diagram. American Meteorological Society, 98(5): 949-957. https://doi.org/10.1175/BAMS-D-15-00234.1
Prayoga, I.M.S., I.D.N.N. Putra, & I.G.N.P. Dirgayusa. 2017. Pengaruh sebaran konsentrasi chl-a berdasarkan citra satelit terhadap hasil tangkapan ikan tongkol (Euthynnus sp.) di Perairan Selat Bali. J. of Maritime and Aquatic Science, 3(1): 30-46. https://doi.org/10.24843/jmas.2017.v3.i01.30-46
Restiangsih, Y.H. & K. Amri. 2018. Aspek biologi dan kebiasaan makanan ikan cakalang (Katsuwonus pelamis) di Laut Flores dan sekitarnya. Bawal Widya Riset Perikanan Tangkap, 10(3): 187-196. http://ejournal-balitbang.kkp.go.id/index.php/bawal/article/view/6347
Sihombing, R.F, R. Aryawati, & Hartoni. 2013. Kandungan klorofil-a fitoplanton di sekitar perairan Desa Sungsang Kabupaten Banyuasin Sumatera Selatan. J. Maspari, 5(1): 33–39. https://doi.org/10.36706/maspari.v5i1.1295
Suhadha, A.G. & W. Asriningrum. 2020. Potential fishing zones estimation based on approach of area matching between thermal front and mesotrophic area. J. Ilmu dan Teknologi Kelautan Tropis, 12(2): 565-581. https://doi.org/10.29244/jitkt.v12i2.28305
Syah, A.F., J.L. Gaol, M. Zainuddin, N.R. Apriliya, D. Berlianty, & D. Mahabror. 2020. Detection of potential fishing zones of bigeye tuna (Tunnus obesus) at profundity of 155 m in the eastern Indian Ocean. Indonesian J. of Geography, 52(1): 29–35. https://doi.org/10.22146/ijg.43708
Tapilatu, Y.H. 2016. Profil oseanografi biologi Laut Banda: Sebuah tinjauan kritis. J. Omni Akuatika, 12(2): 58–66. http://ojs.omniakuatika.net/index.php/joa/article/download/100/51
Tristianto, G., S.Y. Wulandari, A.A.D. Suryoputro, G. Handoyo, & M. Zainuri. 2021. Studi variabilitas upwelling di Laut Banda. Indonesian J. of Oceanography, 3(1): 25-35. https://doi.org/10.14710/ijoce.v3i1.9764
Waileruny, W., E.S. Wiyono, S.H. Wisudo, A. Purbayanto, & T.W. Nurani. 2014. Musim dan daerah penangkapan ikan cakalang di Laut Banda dan sekitarnya Provinsi Maluku. J. Teknologi Perikanan dan Kelautan, 5(1): 41-54. https://doi.org/10.24319/jtpk.5.41-54
Winarso, G. & Y. Marini. 2014. MODIS standard (OC3) chlorophyll-a algorithm evaluation in Indonesian Seas. International J. of Remote Sensing and Earth Sciences, 11(1): 11–20. https://doi.org/10.30536/j.ijreses.2014.v11.a2597
Yoga, R.B.B., H. Setyono, & G. Harsono. 2014. Dinamika upwelling dan downwelling berdasarkan variabilitas suhu permukaan laut dan klorofil-a di perairan selatan Jawa. J. of Oceanography, 3(1): 57-66. https://ejournal3.undip.ac.id/index.php/joce/article/view/4704
Authors
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
The author submitting the manuscript must understand and agree that the copyright of the article manuscript must be submitted/transferred to the Jurnal Ilmu dan Teknologi Kelautan Tropis. This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 (CC BY-SA) International License in which the Author and Reader can copy and redistribute the material in any media or format, and remix, modify and build material for any purpose, but they must provide appropriate credit (citing articles or content), provide a link to the license, and indicate whether there is a change. If you mix, change, or create material, you must distribute your contribution under the same license as the original.