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        Determining Water Depths for Monitoring Coastal Water Quality Using Multiple Functional Traits of Periphytic Protozoa in Marine Ecosystems

        Congcong Guo,Xiaoyun Bai,Mamun Abdullah Al,Mohammad Nurul Azim Sikder,Henglong Xu 한국해양과학기술원 2019 Ocean science journal Vol.54 No.1

        Biological trait analysis (BTA) of protozoan communities has been used a useful bioindicator of environmental quality status in marine ecosystems. To determine the optimal water depths for bioassessment using multiple functional traits of periphytic protozoa, community functioning was studied at different water depths in the Yellow Sea, northern China. The community-weighted means (CWM) of bacterivores with small sizes showed an increasing trend from surface layers to the deeper ones, while those of algivores with medium and large sizes revealed an opposite trend, i.e., a decreasing trend from surface layers to deeper ones. However, with those of predators were distributed at depths of 2 to 3.5 m. There was a significant difference in the functional patterns, except for those at depths of 2 to 3.5 m (P > 0.05). All diversity indices except FDiv generally peaked and leveled off at either 2 or 3.5 m although they decreased with depth. The results suggest that sampling at depths of 2 and 3.5 m may be an optimal strategy for assessing water quality using the functional pattern of protozoa in coastal ecosystems.

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        Seasonal Shift in Community Structure of Periphytic Ciliates in Estuarine Waters in the Northern Bay of Bengal, Bangladesh

        Mamun Abdullah Al,Rahman Muhammed Forruq,Aysha Akhtar,Md. Wahidul Alam,Mohammad Nurul Azim Sikder,Alan Warren,Henglong Xu 한국해양과학기술원 2018 Ocean science journal Vol.53 No.4

        To investigate the seasonal heterogeneity of the periphytic ciliate communities, a 1-year baseline survey was conducted in the Karnaphuli River estuary, northern Bay of Bengal, Bangladesh. A total of 54 ciliate species were recorded, including seven common and 14 dominant species. Maximum species number was in autumn whereas maximum abundance was in winter; the minimum for both occurred in summer. Multivariate analyses, i.e., canonical analysis of principal coordinates (CAP) and principal co-ordinates analysis (PCoA), revealed a clear seasonal heterogeneity of community structure and environmental variables. Multivariate correlation analysis (RELATE) demonstrated that the community structure of the periphytic ciliate communities was significantly correlated with environmental variables, and best matching analysis (BIOENV) indicated that heterogeneity of community patterns was mainly driven by water temperature, pH, dissolved oxygen, total dissolved solids and nutrients. Species richness and diversity peaked in autumn whereas species evenness peaked in summer. These results suggest that environmental conditions shape periphytic ciliate community structure, which is a potentially useful bio-indicator of estuarine water quality.

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