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|Title:||Variations in distribution and abundance of meiobenthos communities in mangrove creek areas along the coast of Karachi, Pakistan.|
|Authors:||Qureshi, Naureen Aziz|
Saher, Noor Us
|Abstract:||A study on meiofaunal assemblages in relation to environmental and biological parameters was carried out from two stations in Korangi and Phitti mangrove creek system along the coast of Karachi, Pakistan during January 1999 to December 1999. Various meiofauna taxa were identified from the sample procured during the low tide. Average meiobenthos abundance was low (4933±7390 ind./ 10 cm-2) during SW monsoon periods and highest (10134±16663 ind./ 10 cm-2) in pre monsoon period. Significant differences were observed between stations (F 1, 47 = 15.67, P < 0.05), (F 1, 47 = 4.43, P < 0.05) in 500 µm and 63 µm fraction. The foraminifera and nematodes were usually the most dominant taxon, contributed up to 42% and 37%, respectively, in 63 µm fraction size followed by harpacticoid copepods, gastropods, turbellarians, lamellibranch, ostracoda, gnathostomulida, polychaeta, sarcomastigophora, oligocheata, cnidaria, amphipoda, chaetognaths, evadne, holothuroidea, Cirripede nauplii, protozoea, eggs, syncarida and other meiofaunal taxa (6.8%). The data were subjected to factor and correlation analysis to determine the grouping pattern of meiofauna and their relationship to their environment. Meiobenthos in 63 µm fraction was significantly correlated with MD (P = 0.437) and MZφ (P = 0.564) and negatively correlated with sorting coefficient phi σl φ and SK φ. The Principal Component Analyses PCA was performed for the two separate data set of both stations. Five factors were made in the PCA at Phitti creek and the six factors were extracted for Port Qasim data set. The first principal component leading mode, explains 25% and 19.5%, and the second principal component accounted for 19.9% and 16.4% in Phitti creek and Port Qasim respectively.|
|ISSN:||0975-1033 (Online); 0379-5136 (Print)|
|Appears in Collections:||IJMS Vol.45(04) [April 2016]|
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