PROFIL DISTRIBUSI DAN KONDISI MANGROVE BERDASARKAN PASANG SURUT AIR LAUT DI PULAU BANGKOBANGKOANG KECAMATAN LIUKANG TUPABBIRING KABUPATEN PANGKEP
Abstract
Mangrove forests are a community of tropical and subtropical beach vegetation, capable of growing and developing in tidal
areas. This study aims to obtain information on the type and density of mangrove species by using remote sensing applications
and to obtain mangrove distribution profile based on tidal. This research has been conducted in Bangkobangkoang Island
Tupabbiring Sub-district of Pangkep Regency in September-October 2016. This research covers species inventory, mangrove
density level using Landsat 8 image with Acquisition 6 June 2016 and mangrove distribution based on sea tides. The results
showed that mangrove vegetation density conditions in Bangkobangkoang island were generally in good condition. The types
of mangroves on the island of Bangkobangkoang are Rhizophora stylosa, Rhizophora apiculata, Rhizophora mucronata,
Sonneratia alba, and Avicennia marina. The dominant mangrove species are Rhysophora stylosa and Rhizophora apiculata.
Mangrove distributed at the highest tide with Rhyzophora stylosa type will be submerged while at lowest tide generally no
mangrove is submerged except on the western island with the same type of Rhyzophora stylosa
Key words: Mangrove, Landsat-8, Density, Ddistributions profile
References
Anderson, J.R. 1976. A Land Use Cover Classification
Systtem for Use with Remote Sensor Data.
Geological Survey Prod-sessional Paper 964.
Wasgington
Bahar, A. 2015. Pedoman Survei Laut. Masagena Press.
Makassar Sulawesi Selatan.
Bengen. 2002. Pengenalan dan Pengelolaan Ekosistem
Mangrove. Pusat Kajian Sumberdaya Pesisir
dan Laut. Institut Pertanian Bogor.
_______2004. Pengenalan dan Pengelolaan Ekosistem
Mangrove. Pedoman Teknis. PKSPL-IPB.
Bogor
Dahuri, H.R Rasis J. Ginting S.P dan Sitepu M.J. 2004.
Pengelolaan Sumber Daya Wilayah Pesisir dan
Lautan Secara Terpadu. PT. Pradnya Paramita
Jakarta
Faisal, A dan Amran, A. 2005. Model Transformasi
Indeks Vegetasi yang Efektif untuk Prediksi
Kerapatan Mangrove Rhizophora Mucronata.
Jurusan Ilmu Kelautan, Fakultas Ilmu Kelautan
dan Perikanan; Universitas Hasanuddin.
Makassar
Habdiansyah, P., Lovadi, I., dan Linda, R. 2015. Profil
Vegetasi Mangrove Desa Sebubus Kecamatan
Paloh Kabupaten Sambas. Universitas
Tanjungpura. Jurnal Vol.4 (2) : 9 – 17
Kementerian Lingkungan Hidup. 2004. Keputusan
Menteri Negara Lingkungan Hidup No.201
tentang Kriteria Baku dan Pedoman Penentuan
Kerusakan Mangrove. Jakarta
Kusmana, C. 2009. Pengelolaan Sistem Mangrove
Secara Terpadu. Departemen Silvikultur,
Fakultas Kehutanan IPB, Bogor
Lillesand, T.M., Kiefer, R.F., dan Chipman, J. 1990.
Remote sensing and Image Interpretation.
Edition. John Wilay and Son Inc. New York
_______2004. Remote Sensing and Image Interpretation
(5 ed). New York; John Wiley and Son
Noor, R. Y., M. Khazali, dan I. N.N. Suryadiputra. 2006.
Panduan Pengenalan Mangrove di Indonesia.
PHKA/WI-IP, Bogor
Nybakken, J W. 1988. Biologi Laut. Suatu Pendekatan
Ekologis. Penerbit PT. Gramedia. Jakarta
Purwanto, AD., Asrianingrum, W., Winarso,G.,
dan Purwati, E. 2014. Analisis Sebaran dan
Kerapatan Mangrove Menggunakan Citra
Landsat 8 di Segara Anakan, Cilacap. Pusat
Pemanfaatan Penginderaan Jauh. LAPAN. Jawa
Tengah
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