Biodiv Sci ›› 2026, Vol. 34 ›› Issue (6): 25339.  DOI: 10.17520/biods.2025339  cstr: 32101.14.biods.2025339

• Original Papers: Animal Diversity •     Next Articles

Fish community structure and driving factors in Lugu Lake, Southwest China

Kaifei Li1,2, Jinling Gong1, Feifei Hu1, Xuemei Li1, Zhaoyuan Lu1, Mingzhong Luo2,*()(), Tingbing Zhu1,*()()   

  1. 1 Key Laboratory of Freshwater Biodiversity Conservation (Ministry of Agriculture and Rural Affairs), Yangtze River Fisheries Research Institute, Chinese Academy of Fishery Sciences, Wuhan 430223, China
    2 College of Animal Science and Technology, Yangtze University, Jingzhou, Hubei 434020, China
  • Received:2025-08-22 Accepted:2026-03-05 Online:2026-06-20 Published:2026-07-30
  • Contact: *Co-authors for correspondence. E-mail: kklmz413@yangtzeu.edu.cn; zhutb@yf.ac.cn
  • Supported by:
    Special Finance fund: Ministry of Agriculture and Rural Affairs and the Central Public-interest Scientific Institution Basal Research Fund, Chinese Academy of Fishery Sciences(2023TD61)

Abstract:

Aims: Lugu Lake, a significant plateau deep-water lake in Southwest China, has not had its fish community reported in recent years. This study was to investigate the current status of fish communities in Lugu Lake. 

Methods: We conducted four field surveys in spring (May) and autumn (October) of 2023 and 2024, and employed redundancy analysis (RDA) and clustering methods to elucidate the driving effects of environmental factors on the spatiotemporal patterns of fish community structure. 

Results: A total of 14 fish species were identified, belonging to 2 orders, 4 families, with Cypriniformes being the predominant order (85.71%). The only indigenous fish species recorded was Misgurnus anguillicaudatus, while 13 exotic fish species were recorded, constituting 92.86% of the total species, with Carassius auratus and Pseudorasbora parva being the most abundant. RDA revealed that fish community structure was influenced by NO3-N and pH in spring, and by NO3-N and total nitrogen in autumn. The abundance-biomass comparison curve (ABC) showed that the biomass curve in autumn was significantly higher than the abundance curve, presenting an “autumn stable–spring substable state” pattern. 

Conclusion: To address the challenges faced by the fish community in Lugu Lake, such as the decline of indigenous species and the prevalence of exotic species, we recommend focusing on conserving indigenous fish, enhancing pollution control, regulating the release of exotic species, and establishing a comprehensive long-term monitoring program.

Key words: fish resources, community structure, diversity index, temporal and spatial variation