Akhi, Most. Mahmuda, Jewel, Md. Abu Sayed, Haque, Md. Ayenuddin Haque, Sarker, Biplob Kumer, Khatsun, Mst. Samsad, Paul, Alok Kumar, Islam, M. Shahanul, and Das, Simon Kumar (2020) Multivariate approaches to determine the relationship between fish assemblage structure and environmental variables in Karatoya River, Bangladesh. Community Ecology, 2 (21). pp. 171-181.

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Abstract

Karatoya River is an important freshwater system that is home to different types of fish species. In the present study, the seasonal abundance and diversity indices of fish assemblage and their relationship with physicochemical parameters were studied. Fifty-four fish species were recorded from four stations for 12 months. The highest number of fish was recorded during the post-monsoon season and the lowest was recorded in the monsoon season. Analysis of similarity evidenced a significant difference (P < 0.05) in species abundance among the seasons. Similarity percentage analysis showed that the overall average dissimilarity among the three seasons was 73.53%, and six species were responsible for this dissimilarity. Non-metric multidimensional scaling ordination plot based on similarity indicated that the monsoon season completely differed from the other two seasons (pre-monsoon and post-monsoon) in terms of fish abundance. The values of Shannon–Wiener diversity, Margalef’s richness, and Pielou’s evenness indices varied from season to season. Canonical correspondence analysis was used to identify the most important water quality parameters influencing the seasonal variation of fish assemblage structure and to reveal the remarkable roles of alkalinity, total dissolved solids, electrical conductivity, and dissolved oxygen in the Karatoya River in Bangladesh. This study provides essential baseline information on the relationship between the environmental parameters and fish diversity in freshwater habitats in Bangladesh.

Item ID:	84000
Item Type:	Article (Research - C1)
ISSN:	1588-2756
Keywords:	Environmental variables, Fish assemblage, Seasonal variation, Diversity indices, Canonical correspondence analysis,Freshwater ecosystem
Copyright Information:	© Akadémiai Kiadó Zrt. 2020
Date Deposited:	12 Nov 2024 03:11
Downloads:	Total: 1 Last 12 Months: 1
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