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Environmental factors driving phytoplankton assemblage pattern and diversity: insights from Sundarban eco-region, India
Ecohydrology & Hydrobiology ( IF 2.6 ) Pub Date : 2020-10-09 , DOI: 10.1016/j.ecohyd.2020.09.005
Pranab Gogoi , Sanjoy Kumar Das , Soma Das Sarkar , Thangjam Nirupada Chanu , Ranjan Kumar Manna , Abhijita Sengupta , Rohan Kumar Raman , Srikanta Samanta , Basanta Kumar Das

Present study dealt with the relative influence of environmental factors on phytoplankton assemblage pattern and diversity in Indian Sundarbans. Analysis revealed, five parameters (temperature, DO, salinity, PO4−P and transparency) varied significantly between seasons (p ≤0.05). Out of 84 species (62 genera), diatoms dominated across the seasons with maximum contribution from pennales (22 genera). Coscinodiscophyceae exhibited prominence in terms of abundance (2.501 × 103±1.04 × 103 org.L−1) and Bacillariophyceae in diversity (29 species). ANOVA (post-hoc test) showed the significant spatio-temporal heterogeneity (p≤0.05) of phytoplankton distribution in the system. Seasonal abundance revealed maximum in monsoon (3.347 × 103±1.948 × 103 org.L−1). Cluster analysis showed three clusters among the stations with maximum similarity between Jharkhali and Nischintapur. NMDS portrayed overall 40% similarity among all the stations. Furthermore, the resemblance of community compositions was observed between Pathar Pratima and Frazerganj, which might be due to geographical proximity between the stations and similar magnitude of salinity throughout the study period. Water parameters viz., temperature, total alkalinity, salinity, PO4−P, SiO4−Si and SO42− were the deterministic parameters influencing the distribution of phytoplankton, which was evident from BIO-ENV and Marginal test. Furthermore, the distance based linear model (DistLM) model explained two variables viz., PO4−P and total alkalinity were the controlling variables that could explain the phytoplankton community compositions in Sundarbans. Shannon diversity index indicated moderately rich phytoplankton diversity in the system with a calculated value >2.78. Index of multivariate dispersion (IMD) value also depicted increase in the community variability with the dispersion value of – 0.431.



中文翻译:

环境因素驱动浮游植物的聚集方式和多样性:印度桑达尔班生态区的见解

目前的研究涉及环境因素对印度桑达邦浮游植物组装模式和多样性的相对影响。分析显示,五个参数(温度,溶解氧,盐度,PO 4 -P和透明度)显著季节(之间变化p ≤0.05)。在84个物种(62属)中,硅藻在整个季节中占主导地位,而Pennales(22属)的贡献最大。粘藻藻科在物种丰富度(2.501×10 3 ±1.04×10 3 org.L -1)和芽孢杆菌科(29种)方面表现突出。方差分析(事后检验)显示出显着的时空异质性(p≤0.05)浮游植物在系统中的分布。季节性丰度显示季风最大(3.347×10 3 ±1.948×10 3 org.L -1)。聚类分析表明,各站之间的三个聚类在Jharkhali和Nischintapur之间具有最大的相似性。NMDS描绘了所有站点之间总体相似性40%。此外,在Pathar Pratima和Frazerganj之间观察到群落组成的相似性,这可能是由于在整个研究期间站之间的地理邻近性和相似的盐度大小所致。水参数,温度,总碱度,盐度,PO 4 -P,SiO 4 -Si和SO 4 2-是影响浮游植物分布的确定性参数,这在BIO-ENV和边际测试中很明显。此外,基于距离的线性模型(DistLM)模型解释了两个变量,PO 4 -P和总碱度是可以解释苏达邦浮游植物群落组成的控制变量。香农多样性指数表明系统中浮游植物的多样性中等,计算值> 2.78。多元离散度(IMD)值的指数还描述了群落变异性的增加,其离散度值为– 0.431。

更新日期:2020-10-09
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