Fish community structure in accordance with environmental signatures in a tropical river ecosystem in the Eastern Himalayan ecoregion

IF 2 3区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES
Shamyung O. Ongh, Asha Taterao Landge, Karankumar Ramteke, Simanku Borah, Jyotish Barman, Sahina Akter, Anil Kumar Yadav, Pritam Das, Sullip Kumar Majhi, Nabanita Chakraborty, Basanta Kumar Das
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引用次数: 0

Abstract

Environmental characteristics significantly influence the distribution of fish communities in aquatic ecosystems. This study examined the relationship between fish community structure and ecological characteristics in the Dhansiri River, a tropical river within the Eastern Himalayan ecoregion. Sampling was conducted across three seasons (monsoon, premonsoon, and postmonsoon) at four stations representative of the whole river stretch. The highest number of species was recorded along the upper stretch S1 (54), followed by S2 (45), S3 (41), and S4 (37). Seasonally, the number of species peaked during monsoon (64), decreased in postmonsoon (59), and was lowest in premonsoon (54). The Shannon diversity index (H′) ranged from 3.327 to 3.750, with higher values upstream and gradually declining downstream. Species diversity was lowest at S4, likely owing to poor environmental conditions and high anthropogenic pressure. Cyprinids emerged as the most dominant fish group, with relative family abundance varying from 0% to 5.63%. Nonmetric dimensional scaling indicated a distinct separation of S4 from S1, S2, and S3. Analysis of water quality revealed a pristine nature at S1, with gradual deterioration downstream. Significant relationships were identified between most water quality variables and fish community structure. Principal component analysis showed that pH (20.96%), total alkalinity (13.80%), specific conductivity (9.92%), nitrite (NO2; 12.19%), and total dissolved solids (TDS; 6.22%) contributed significantly to the first principal component (Dim1), while nitrate (NO3; 53.43%) and water temperature (6.05%) influenced the second principal component (Dim2). Biota and/or environment matching (BIO-ENV) analysis reflected that ammonia (NH3), NO3, carbon dioxide (CO2), TDS, total alkalinity, pH, specific conductivity, dissolved oxygen (DO), and water temperature significantly correlated with fish abundance and community composition. This study provides critical insights into the role of environmental parameters in shaping the fish community structure in a less-explored tropical river of the Eastern Himalayas and offers valuable information for the sustainable management of riverine fish diversity.

东喜马拉雅生态区热带河流生态系统中与环境特征一致的鱼类群落结构
环境特征对水生生态系统中鱼类群落的分布有显著影响。本研究考察了东喜马拉雅生态区热带河流丹西里河的鱼类群落结构与生态特征之间的关系。采样跨越三个季节(季风、季风前和季风后),在代表整个河流段的四个站点进行。上段S1(54)种数最多,其次为S2(45)、S3(41)和S4(37)种。季节分布上,季风期间物种数量最多(64种),季风后物种数量减少(59种),季风前物种数量最少(54种)。Shannon多样性指数(H’)为3.327 ~ 3.750,上游较高,下游逐渐降低。物种多样性在S4最低,可能是由于恶劣的环境条件和较高的人为压力。鲤科鱼是最具优势的鱼类类群,相对科数在0% ~ 5.63%之间。非度量尺度尺度表明S4与S1、S2和S3有明显的分离。水质分析显示S1为原始水质,下游水质逐渐恶化。大多数水质变量与鱼类群落结构之间存在显著关系。主成分分析结果表明:pH值(20.96%)、总碱度(13.80%)、比电导率(9.92%)、亚硝酸盐(NO2;12.19%),总溶解固形物(TDS;6.22%)对第一主成分(Dim1)贡献显著,而硝态氮(NO3;53.43%)和水温(6.05%)影响第二主成分(Dim2)。生物区系和/或环境匹配(BIO-ENV)分析表明,氨(NH3)、NO3、二氧化碳(CO2)、TDS、总碱度、pH、比电导率、溶解氧(DO)和水温与鱼类丰度和群落组成显著相关。本研究对环境参数在形成喜马拉雅东部一条较少探索的热带河流中鱼类群落结构中的作用提供了重要的见解,并为河流鱼类多样性的可持续管理提供了有价值的信息。
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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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