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生态学杂志 ›› 2021, Vol. 40 ›› Issue (5): 1499-1511.doi: 10.13292/j.1000-4890.202105.016

• 研究报告 • 上一篇    下一篇

金沙江下游支流黑水河鱼类资源现状

滕航1,2,田辉伍2,刘寒文2,成必新3,杨少荣4,刘绍平2,陈大庆2,段辛斌2*   

  1. 1西南大学生命科学学院, 重庆 400715;2中国水产科学研究院长江水产研究所, 农业农村部长江中上游渔业资源环境科学观测实验站, 武汉 430223;3上海勘测设计研究院有限公司, 上海 200434;4中国三峡建设管理有限公司, 北京 100038)
  • 出版日期:2021-05-10 发布日期:2021-05-13

Fish resources status in Heishui River, a tributary of the lower reaches of Jinsha River.

TENG Hang1,2, TIAN Hui-wu2, LIU Han-wen2, CHENG Bi-xin3, YANG Shao-rong4, LIU Shao-ping2, CHEN Da-qing2, DUAN Xin-bin2*   

  1. (1School of Life Science, Southwest University, Chongqing 400715, China; 2Fishery Resources and Environmental Science Experimental Station of the UpperMiddle Reaches of Yangtze River, Ministry of Agriculture and Rural Affairs, Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan 430223, China; 3Shanghai Investigation, Design and Research Institute Co. Ltd, Shanghai 200434, China; 4Three Gorges Projects Development Co. Ltd, Beijing 100038, China)
  • Online:2021-05-10 Published:2021-05-13

摘要: 为了解黑水河鱼类资源现状,于2018年11月—2019年9月在黑水河23个采样点开展了4次鱼类资源调查,共采集到鱼类44种,隶属于4目10科33属,其中长江上游特有鱼类11种。黑水河鱼类以红尾副鳅(Paracobitis varigatus)、短须裂腹鱼(Schizothorax wangchiachii)、大桥高原鳅(Triplophysa daqiaoensis)、宽鳍鱲(Zacco platypus)、短体副鳅(P. potanini)和中华纹胸鮡(Glyptothorax sinense)为优势种,分别占渔获物总重量的28.44%、28.01%、16.66%、7.18%、5.09%和3.36%。不同河段鱼类组成相似性指数分析结果显示,苏家湾坝上河段和765回水点以下河段相似性指数最低,为24.32%;苏家湾坝上河段和松新坝址至老木河坝址河段相似性指数最高,达61.90%。通过个体生态学矩阵分析,黑水河鱼类群落以亲流型、口下位和杂食性类群为主。黑水河从上游到下游,鱼类多样性指数呈上升趋势,不同季节多样性指数变化整体上差异不显著(P>0.05)。丰度生物量比较曲线显示,黑水河鱼类群落结构整体上受到中度干扰。与历史资料相比,黑水河鱼类存在小型化趋势,需加强保护。

关键词: 鱼类资源, 黑水河, 多样性指数, 丰度生物量比较曲线

Abstract: Heishui River, located in the lower reaches of the Jinsha River, is an important habitat and a priority tributary for fish conservation in the mainstream of the Baihetan Reservoir area. The structure of fish communities in Heishui River has been changed due to human activities, such as hydropower station construction, overfishing, and sand excavation from river channels. The aim of this study was to understand the status of fish resources and to provide a scientific basis for fish resources protection and ecological restoration in Heishui River. Quarterly samples were collected at 23 sampling sites in Heishui River from November 2018 to September 2019. Fish samples were collected by gill nets (outer mesh 7 cm, inner mesh 2-3 cm, net height 2 m, net length 80 m) and cages (12 m×0.4 m×0.4 m). Species identity, body weight and body length of all fish collected at each sampling site were determined. During the surveys, a total of 44 fish species were identified belonging to 4 orders, 10 families, and 33 genera, with 11 species being endemic species of the upper Yangtze River. Paracobitis varigatus, Schizothorax wangchiachii, Triplophysa daqiaoensis, Zacco platypus, Paracobitis potanini and Glyptothorax sinense were the dominant fish species in Heishui River, which accounted for 28.44%, 28.01%, 16.66%, 7.18%, 5.09% and 3.36% of the total weight of captures, respectively. The similarity of fish community composition between the upper reaches of Sujiawan Dam and the lower reaches of backwater point 765 in Heishui River was the lowest (24.32%), whereas the upper reaches of the Sujiawan dam and the reaches from Songxin dam site to Laomuhe dam site was the highest (61.90%). The results of autecology matrix analysis showed that the fish community in Heishui River was mainly composed of riffle, with lower mouth, and omnivore group. The fish diversity index showed an increasing tendency from upstream to downstream of Heishui River, with no variation of diversity index among different seasons (P>0.05). Abundance biomass comparison (ABC) curve showed that the structure of the fish community in Heishui River was moderately disturbed. Our results suggested that the fish in Heishui River exhibited a trend of miniaturization compared with historical data, and consequently the protection measures should be strengthened.

Key words: fish resource, Heishui River, diversity index, abundance biomass comparison curve.