Unveiling the spatiotemporal variation of zooplankton community structure and their relationship with environmental variables using multivariate analysis in a tropical mangrove estuary

IF 1.8 3区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES
Suman Nama, Ashna Shanmughan, Sahina Akter, Abhilash Wodeyar K, Shashi Bhushan, Karankumar Ramteke, Geetanjali Deshmukhe, Ashok Kumar Jaiswar, Annam Pavan Kumar, Binaya Bhusan Nayak
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Abstract

Zooplankton assemblages and their relationship with environmental variables were studied in the Karanja estuary from January 2022 to March 2023. Thirty-seven zooplankton taxa were identified from the 60 samples, with copepoda emerging as the dominant group, contributing 33.6% of total abundance, followed by decapoda larvae (16.75%). Two-away ANOVA depicted significant spatiotemporal variation (p < 0.05) of zooplankton community structure. Zooplankton abundance peaked during the monsoon season (248.94 ± 24.35 ind. m−3), followed by the pre-monsoon (200.65 ± 7.40 ind. m−3), and post-monsoon seasons (83.9 ± 2. 85 ind. m−3). Multivariate, biotic-environmental (BIO-ENV), and redundancy analyses revealed salinity, temperature, nitrite, nitrate, and transparency are the prevailing environmental parameters affecting zooplankton dynamics. Seasonal diversity indices, including the Shannon–Wiener index (2.56 ± 0.35), Margalef index (4.25 ± 1.05), and Pielou’s index (0.97 ± 0.01) indicate a functionally healthy and diverse zooplankton community. Indicator species analysis (IndVal) revealed that Calanus sp., Centropages sp., Acartia sp., Oithona sp., and Diphyes dispar and Pleurobrachia pileus are potential indicators of environmental changes for a particular season. This study highlights the utility of zooplankton community structure as an indicator of estuarine ecosystem health and environmental variation. Identifying seasonal-specific indicator taxa facilitates practical tools for long-term monitoring systems. Overall, the findings provide a scientific basis for formulating effective management strategies for conserving the biodiversity of the Karanja estuary.

利用多变量分析揭示热带红树林河口浮游动物群落结构的时空变化及其与环境变量的关系
对2022年1月至2023年3月Karanja河口浮游动物群落及其与环境变量的关系进行了研究。60份样品共鉴定出37个浮游动物类群,其中桡足类为优势类群,占总丰度的33.6%,其次是十足类,占总丰度的16.75%。双方差分析显示浮游动物群落结构的时空差异显著(p < 0.05)。浮游动物丰度在季风季节最高(248.94±24.35 ind. m−3),其次是季风前(200.65±7.40 ind. m−3)和季风后(83.9±2)。85 . m−3)。多变量、生物环境(BIO-ENV)和冗余分析显示,盐度、温度、亚硝酸盐、硝酸盐和透明度是影响浮游动物动力学的主要环境参数。季节多样性指数Shannon-Wiener指数(2.56±0.35)、Margalef指数(4.25±1.05)和Pielou指数(0.97±0.01)表明浮游动物群落功能健康多样。指示种分析(IndVal)表明,Calanus sp.、Centropages sp.、Acartia sp.、Oithona sp.、Diphyes dispar和Pleurobrachia pileus是特定季节环境变化的潜在指示种。本研究强调了浮游动物群落结构作为河口生态系统健康和环境变化指标的实用性。确定季节性特定指标分类群有助于长期监测系统的实用工具。研究结果为制定有效的生物多样性保护管理策略提供了科学依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Aquatic Sciences
Aquatic Sciences 环境科学-海洋与淡水生物学
CiteScore
3.90
自引率
4.20%
发文量
60
审稿时长
1 months
期刊介绍: Aquatic Sciences – Research Across Boundaries publishes original research, overviews, and reviews dealing with aquatic systems (both freshwater and marine systems) and their boundaries, including the impact of human activities on these systems. The coverage ranges from molecular-level mechanistic studies to investigations at the whole ecosystem scale. Aquatic Sciences publishes articles presenting research across disciplinary and environmental boundaries, including studies examining interactions among geological, microbial, biological, chemical, physical, hydrological, and societal processes, as well as studies assessing land-water, air-water, benthic-pelagic, river-ocean, lentic-lotic, and groundwater-surface water interactions.
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