Community structure of macrobenthos in homestead ponds of Noakhali coast, Bangladesh

Abstract

The integrity of the homestead pond supply depends on how various macrobenthic communities make their living more diversified and contribute to complex food webs. In addition, the macrobenthic community are significantly used as indicator organisms to detect the pollution impacts in aquatic ecosystems. In this study, we show the data about the diversity and community structure of macrobenthos and their relationship with environmental variables in homestead ponds of Noakhali coast from January 2019 to August 2019. The current study yielded 17 species belonging to seven taxonomic groups with a mean density of 3630 ind./m2. The Nematode community, comprising 48.86% of the total taxonomic groups with Prionchulus sp. as the dominant macrobenthic species represented more than 31% of the total macrobenthic taxa, and showed a significant negative correlation with the value of salinity, DO, pH. The environmental variables and diversity indices were detected significant variations (P < 0.05) among stations by the Kruskal-Wallis ANOVA, whereas Shannon-Wiener Diversity Index (H´) assessed moderate pollution, Evenness index (J) assessed uniform distributions of macrobenthic community, and environmental variables showed acceptable condition for the productivity of ponds. Cluster analysis (CA) and Non-metric multidimensional scaling (nMDS) demonstrate demarcations in the community structure of macrobenthos between samples. Within macrobenthic communities, Canonical Correspondence Analysis (CCA) provided insights and interpretations of the relationships between species and environmental gradients. Macrobenthic community reached the most abundance at a lower temperature, transparency and a higher DO, pH and salinity.