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生态学杂志 ›› 2025, Vol. 44 ›› Issue (12): 3960-3969.doi: 10.13292/j.1000-4890.202512.037

• 外来生物入侵专栏 • 上一篇    下一篇

增江中下游外来鱼类入侵现状及其与环境因子相互关系

黄骏涵1,2,3,王裕祥1,2,罗思3,房苗1,2,舒璐1,2,徐猛1,2,韦慧1,2,汪学杰1,2,胡隐昌1,2,余梵冬1,2*,顾党恩1,2*


  

  1. 1中国水产科学研究院珠江水产研究所/农业农村部外来入侵水生生物防控重点实验室, 广州 510380; 2中国水产科学研究院珠江水产研究所外来物种与生态安全重点实验室, 广州 510380; 3淮阴工学院生命科学与食品工程学院, 江苏淮安 223003)
  • 出版日期:2025-12-10 发布日期:2025-12-05

Current status of alien fish invasion in the middle and lower reaches of Zengjiang River and its relationship with environmental factors.

HUANG Junhan1,2,3, WANG Yuxiang1,2, LUO Si3, FANG Miao1,2, SHU Lu1,2, XU Meng1,2, WEI Hui1,2, WANG Xuejie1,2, HU Yinchang1,2, YU Fandong1,2*, GU Dangen1,2*   

  1. (1 Pearl River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Key Laboratory of Prevention and Control for Aquatic Invasive Alien Species, Ministry of Agriculture and Rural Affairs, Guangzhou 510380, China; 2 Key Laboratory of Alien Species and Ecological Security (CAFS), Pearl River Fisheries Research Institute, Chinese Academy of Fisheries Science, Guangzhou 510380, China; 3 School of Life Science and Food Engineering, Huaiyin Institute of Technology, Huai’an 223003, Jiangsu, China).

  • Online:2025-12-10 Published:2025-12-05

摘要: 本研究旨在评估增江中下游鱼类群落组成及外来鱼类入侵现状,分析外来鱼类的分布格局及其与环境因子的关系,以揭示入侵机制并为生态管理提供科学依据。2024年夏季与冬季对增江中下游的20个采样点进行鱼类样本、环境因子的采集。运用相对重要性指数(IRI)、ABC曲线和Jaccard相似性指数分析鱼类群落结构,结合主成分分析(PCA)识别主导环境因子,并通过冗余分析(RDA)探讨鱼类分布与环境因子的关系。结果表明:两季共捕获鱼类25种,753尾,47.88 kg,其中外来鱼类占总丰度和总生物量的74.37%和74.40%;齐氏罗非鱼(Coptodon zillii)和豹纹翼甲鲶(Pterygoplichthys pardalis)取代尼罗罗非鱼(Oreochromis niloticus)成为全年优势物种。群落相似性分析显示,冬季鱼类群落相似性高于夏季。PCA结果表明,流速和比电导率为主要主导环境因子;RDA结果揭示齐氏罗非鱼的分布与比电导率呈负相关,豹纹翼甲鲶的分布与流速呈正相关。本研究揭示了增江流域外来鱼类优势种的快速更替及其与关键环境因子的耦合机制,建议结合外来鱼类分布的主要驱动环境因子实施针对性防控措施,以遏制高风险入侵物种扩散,促进增江流域的生态恢复与渔业可持续发展。


关键词: 增江, 外来鱼类, 鱼类群落结构, 冗余分析, 齐氏罗非鱼, 豹纹翼甲鲶

Abstract: This study evaluated fish community structure and the invasion status of alien fish in the middle and lower reaches of the Zengjiang River, with a focus on the distribution pattern of alien fish and their relationship with environmental factors, aiming to reveal the invasion mechanism and provide a scientific basis for ecological management. Fish samples and environmental factors were collected from 20 sampling sites in the middle and lower reaches of the Zengjiang River in the summer and winter of 2024. Fish community composition and dominance were quantified using the index of relative importance (IRI), the abundancebiomass comparison (ABC) curve, and Jaccard similarity index. Principal component analysis (PCA) was applied to identify dominant environmental drivers, while redundancy analysis (RDA) was employed to elucidate the relationships between fish assemblages and environmental factors. A total of 25 fish species, comprising 753 individuals with a total biomass of 47.88 kg, were recorded. Exotic species accounted for 74.37% of the total abundance and 74.40% of the total biomass. The Redbelly tilapia (Coptodon zillii) and Amazon sailfin catfish (Pterygoplichthys pardalis) were the dominant species throughout the year, replacing the previously dominant Nile tilapia (Oreochromis niloticus). Fish communities in the winter showed higher similarity compared to summer. PCA results indicated that flow velocity and specific conductivity were the key environmental factors. RDA further revealed that the distribution of Redbelly tilapia was negatively correlated with specific conductivity, while Amazon sailfin catfish was positively correlated with flow velocity. This study demonstrates a rapid replacement of dominant exotic species in the Zengjiang River and clarifies the coupling mechanisms between their distributions and key environmental factors. Our findings highlight the importance of implementing targeted management measures based on the major environmental drivers influencing exotic fish distribution, in order to curb the spread of high-risk invasive species and promote ecological restoration and sustainable fisheries in the Zengjiang River Basin.


Key words: Zengjiang River, alien fish, fish community structure, redundancy analysis, Redbelly tilapia, Amazon sailfin catfish