ANALISA STRUKTUR KOMUNITAS FITOPLANKTON DAN POTENSI PENGGUNAANNYA SEBAGAI BIOINDIKATOR LIMBAH ORGANIK DI TELUK LABUANGE, SULAWESI SELATAN
作者： Rajuddin Syamsuddin , Rani , Mudian Paena , Haryati Tandipayuk
DOI: 10.15578/JRA.15.2.2020.129-139
关键词:
摘要: Komunitas fitoplankton di perairan Teluk Labuange semakin dipengaruhi oleh limbah organik yang berasal dari tambak udang superintensif dan kegiatan antropogenik lainnya sepanjang garis pantai. Akibatnya, struktur komunitas plankton teluk tersebut telah mengalami perubahan besar dapat digunakan sebagai bio-indikator pencemaran organik. Tujuan penelitian ini adalah untuk menentukan potensi penggunaannya Survei lapangan dilakukan enam stasiun pengambilan sampel didistribusikan dalam mengumpulkan air, analisis fitoplankton. Ada 12 titik setiap total 72 air dikumpulkan. Jenis-jenis bioindikator diidentifikasi kemudian dianalisis menggunakan CCA (Canonical Correlation Analysis) tersedia perangkat lunak PAST (Statistik Paleontologis) menghitung kekuatan hubungan antara kualitas (amonia, nitrat, fosfat, BOT, COD) indikator Data kelimpahan spesies secara statistik ANOVA perbedaan jenis stasiun. Studi mengidentifikasi 48 fitoplankton, mana 18 berpotensi HAB,s (plankton berbahaya). Dari plankton, diklasifikasikan organik, yaitu Ceratium triops, trichoceros, Lyngbya sp, Navicula pupula, Dinophysis caudata, sp. Kehadiran langsung berkaitan dengan tingginya konsentrasi amonia, COD perairan. Indeks keanekaragaman dihitung menunjukkan bahwa sangat tercemar. Oleh karena itu, upaya mengurangi pasokan kedalam penting memastikan keberlanjutan akuakultur pantai Labuange, seperti instalasi pengolahan atau pengelolaan efektif daerah pemukiman pesisir. Phytoplankton communities in the waters of Bay have been increasingly affected by organic waste released superintensive shrimp farms and other anthropogenic activities along coastline. As a result, community structure bay might undergone substantial change which could be used as bio-indicator pollution. The objective this study was to determine assess its potential use Field surveys were conducted six sampling stations distributed within collect water samples for phytoplankton analysis. There points each station from collected. types bio-indicators identified analyzed using canonical correlation analysis (CCA) available paleontological statistics (PAST) software calculate strength relationship between quality (ammonia, nitrate, phosphate, indicators. on species abundance statistically differences type station. This had species, potentially HABs (harmful algae blooms). From classified planktons, namely sp., presence directly related high concentration ammonia, waters. calculated diversity index research indicated that heavily polluted Therefore, efforts reduce loading are critical ensure sustainability coastal aquaculture Bay, such treatment plants or effective management settlement areas.
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