文章摘要
江苏滆湖鱼类群落结构时空分布及其与环境因子的关系*
Spatial and temporal distribution of fish assemblages and its relationship with environmental factors in Lake Gehu of Jiangsu Province, China
投稿时间:2020-08-02  修订日期:2020-08-24
DOI:
中文关键词: 西太湖  鱼类群落  月份变化  空间变化  生态因子
英文关键词: Western Taihu Lake  Fish community  Monthly change  Spatial variation  Ecological factors  
基金项目:国家重点基础研究发展计划
作者单位邮编
李经纬 上海海洋大学 201306
徐东坡 中国水产科学研究院淡水渔业研究中心 
李巍 全国水产技术推广总站 
孔优佳 江苏省滆湖渔业管理委员会办公室 
花少鹏 江苏省滆湖渔业管理委员会办公室 
刘其根 上海海洋大学 
张顺 上海海洋大学 
胡忠军 上海海洋大学 201306
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中文摘要:
      2017-2018年采用多网目刺网和地笼对滆湖鱼类进行季节调查,并调查测定了水温(WT)、水深(WD)、透明度(SD)、pH、叶绿素a(Chl.a)、总氮(TN)和总磷(TP)等环境因子,分析了鱼类群落结构特征的时空分布格局及其与环境因子的关系。在滆湖共采集到36种鱼类,隶属4目8科。相对重要性指数(IRI)显示,刀鲚为优势种,鲢和鲫为常见种。3种生态类群中,定居型物种数最高(83.3%);5种功能摄食群中,杂食性鱼类物种数最高(47.2%)。鱼类物种组成在月份间和空间上均无显著差异。双因素方差分析表明,单位努力捕获数量(NPUE)、丰富度指数(R)、Shannon-Weaver多样性指数(H′)和均匀度指数(J)在月份间存在显著差异,但单位努力捕捞重量(BPUE)在月份间无差异,以上5个参数中仅R存在显著的空间差异。水温是NPUE和J、pH是R、叶绿素a是H′时空变异的唯一最优解释因子;水温和TP是影响鱼类物种时空分布的关键环境因子。
英文摘要:
      The fishes at 16 stations in Lake Gehu were seasonally sampled using multi-mesh gillnets and traps from August, 2017 to May, 2018. Meanwhile, water temperature (WT), water depth (WD), transparency (SD), pH, chlorophyll a (Chl.a), total nitrogen (TN), total phosphorus (TP) were measured. Using these data, the spatial and temporal distribution pattern of fish community structural characteristics and its relationship with environmental factors were analyzed. A total of thirty-six fish species, belonging to 4 orders and 8 families, were collected from Lake Gehu. According to index of relative importance (IRI), Japanese grenadier anchovy (Coilia nasus) was the predominant species, silver carp (Hypophthalmichthys molitrix) and goldfish (Carassius auratus) were the common species. Sedentary fishes (83.3%) predominated in species number among the three ecological groups and omnivorous fishes (47.2%) prevailed among the five feeding functional groups. The fish species composition in Lake Gehu did not differ monthly and spatially. The two-way analysis of variance (ANOVA) showed that number per catch effor (NPUE), richness index (R), Shannon-Weaver "s diversity index (H′) and evenness index (J) significantly differed but biomass per catch effort (BPUE) did not differ monthly, and all the five structural features except for R did not significantly differ between lake areas. The stepwise regression analysis showed that water temperature was the exclusive environmental factor to explain the spatio-temporal variance of NPUE and J, pH for R, and Chl.a for H′. Redundancy analysis revealed that WT and TP were the key factors influencing the spatial and temporal distribution of fish species of Lake Gehu.
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