Scholarlink

<p>This study investigates the correlation between water quality parameters and algal diversity in freshwater ecosystems of Dakshina, Karnataka, using multivariate statistical analysis. It identifies bioindicators of water pollution by examining the taxonomic diversity and ecological relationships of microalgae and cyanobacteria across nine habitats. A comprehensive survey identified 131 species from 68 genera, with Cyanophyceae accounting for the largest proportion (49.62%), followed by Chlorophyceae (35.11%) and Bacillariophyceae (13.74%). Physicochemical analysis revealed significant spatial variations in properties such as pH, temperature, nutrient availability, calcium, and chloride levels, which influenced microalgal composition and growth patterns. Key bioindicators like <i>Tetraedron</i> and <i>Botryococcus</i> were identified through ANOSIM and SIMPER analyses indicating substantial ecological dissimilarities between the study sites. Palmer’s Index of bioindicators further highlighted varying levels of organic pollution, with the highest levels recorded at Palimaru Dam and Kemanaballi Waterfalls. This research provides critical insights into freshwater microalgal communities, enhancing our understanding of their role as bioindicators in environment.</p> Graphical Abstract <p></p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Correlating the Water Quality Parameters on Algal Diversity through Multivariate Statistical Analysis and Identifying the Bioindicator of Water Pollution in the Freshwater Ecosystems of Dakshina, Karnataka

  • 期刊论文

  • 发表日期：

    2025年11月21日

查看全文
  • Prakash Palanivel,
  • Priyanka Jayam Rajendran,
  • Fayaazuddin Thajuddin,
  • Akilan Elumalai,
  • Dhanasekaran Dharumadurai,
  • Gangatharan Muralitharan

摘要

This study investigates the correlation between water quality parameters and algal diversity in freshwater ecosystems of Dakshina, Karnataka, using multivariate statistical analysis. It identifies bioindicators of water pollution by examining the taxonomic diversity and ecological relationships of microalgae and cyanobacteria across nine habitats. A comprehensive survey identified 131 species from 68 genera, with Cyanophyceae accounting for the largest proportion (49.62%), followed by Chlorophyceae (35.11%) and Bacillariophyceae (13.74%). Physicochemical analysis revealed significant spatial variations in properties such as pH, temperature, nutrient availability, calcium, and chloride levels, which influenced microalgal composition and growth patterns. Key bioindicators like Tetraedron and Botryococcus were identified through ANOSIM and SIMPER analyses indicating substantial ecological dissimilarities between the study sites. Palmer’s Index of bioindicators further highlighted varying levels of organic pollution, with the highest levels recorded at Palimaru Dam and Kemanaballi Waterfalls. This research provides critical insights into freshwater microalgal communities, enhancing our understanding of their role as bioindicators in environment.

Graphical Abstract