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生态学杂志 ›› 2026, Vol. 45 ›› Issue (2): 404-413.doi: 10.13292/j.1000-4890.202602.012

• 湿地生态与可持续利用专栏 • 上一篇    下一篇

基于环境DNA的安徽升金湖湿地鱼类共现网络分析

程雪菲1,石子菊1,王晓瑶1,张晴晴1,黄成2,刘茂松1,2*   

  1. 1南京大学生命科学学院, 南京 210023; 2江苏南京长江湿地生态系统定位观测研究站, 南京 211100)

  • 出版日期:2026-02-10 发布日期:2026-08-01

Fish co-occurrence network analysis in Anhui Shengjin Lake wetlands using environmental DNA.

CHENG Xuefei1, SHI Ziju1, WANG Xiaoyao1, ZHANG Qingqing1, HUANG Cheng2, LIU Maosong1,2*   

  1. (1School of Life Science, Nanjing University, Nanjing 210023, China; 2Nanjing Yangtze River Wetland Ecosystem Research Station, Nanjing 211100, China).

  • Online:2026-02-10 Published:2026-08-01

摘要: 研究不同生态单元鱼类物种多样性,从生物共现网络视角分析群落结构,对解析鱼类群落模式和保护鱼类资源至关重要。本文基于环境DNA技术和生物共现网络分析技术对安徽升金湖自然保护区入湖河流、上湖、中湖、下湖、库坝引水渠和长江6个生态单元的鱼类组成及鱼类群落特征进行研究。结果发现:(1)研究地共检测到64种鱼类,隶属8目14科46属。入湖河流段物种多样性指数最高,库坝引水渠是升金湖-长江间鱼类物种多样性指数最低点,长江中检测到的洄游性鱼类在湖区均有发现。(2)随机共现模式为研究地鱼类主要种间共现模式,但70.31%的鱼类与至少1种其他鱼类存在显著相关关系,且以正相关为主。外来入侵物种齐氏罗非鱼与本土鱼类波氏吻虾虎鱼间呈显著负相关。(3)入湖河流鱼类共现网络结构最复杂,库坝引水渠网络结构最简单,其余4处网络复杂性相似,但图密度和聚类系数存在差异,不同生态单元间重要物种差异较大。总体上,随机共现模式为研究地鱼类主要种间共现模式,但不同鱼类间存在复杂且显著的种间关系,种间非随机共现模式对各生态单元群落构建也发挥了显著作用;鱼类物种多样性与鱼类共现网络复杂性具有协同性,库坝引水渠为鱼类物种多样性分布的低点,但对升金湖与长江间洄游性鱼类的阻隔作用不显著。


关键词: 鱼类群落, 物种多样性, 生物共现网络, 共现模式, 随机共现

Abstract: Investigating fish species diversity across different ecological systems and analyzing community structure through species co-occurrence networks are crucial for understanding fish community assemblage and resource conservation. Using environmental DNA technology and species co-occurrence network analysis, we investigated fish composition and community characteristics in six ecological units in the Anhui Shengjin Lake National Nature Reserve, including the inflow river, upper lake, middle lake, lower lake, diversion channel of the reservoir dam, and the Yangtze River. The results showed that: (1) A total of 64 fish species were detected, belonging to 8 orders, 14 families, and 46 genera. The inflow river exhibited the highest species diversity, and the diversion channel of the reservoir dam had the lowest. Migratory fish species in the Yangtze River were also found in the lake region. (2) Fish community predominantly exhibited a random co-occurrence pattern. 70.31% of fish species showed significant associations with at least one other species, with positive correlations being the most prevalent. The invasive species Coptodon zillii exhibited a significant negative correlation with the native species Rhinogobius cliffordpopei. (3) The co-occurrence network was most complex in the inflow river and simplest in the diversion channel of the reservoir dam. The network complexity of the upper lake, middle lake, lower lake, and the Yangtze River was similar. Differences were observed in density and clustering coefficient. There were significant variations in key species across all six ecological units. Overall, the random co-occurrence pattern was the primary interspecies co-occurrence pattern, but complex and significant interspecific relationships were identified, indicating that non-random co-occurrence patterns also played a crucial role in shaping community structure across these ecological units. Fish species diversity and co-occurrence network complexity were positively correlated. Although the diversion channel of the reservoir dam had the lowest species diversity, it did not significantly block the migratory fish species between Shengjin Lake and the Yangtze River.


Key words: fish community, species diversity, species co-occurrence network, co-occurrence pattern, random co-occurrence