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Chinese Journal of Applied Ecology ›› 2025, Vol. 36 ›› Issue (10): 3115-3125.doi: 10.13287/j.1001-9332.202510.027

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Predicting the potential suitable habitats of invasive species in the Bidens genus in China under climate change

NIE Yanhan1, CHENG Jianping1, FU Xinyue1, XUAN Yuhang1, WAN An1,2*, ZHAO Hui2   

  1. 1College of Resources and Environment, Anqing Normal University, Anqing 246133, Anhui, China;
    2Nanjing University (in Changshu City) Research Institute Co., Ltd., Ecological Research Institute of Changshu, Nanjing University, Suzhou 215500, Jiangsu, China
  • Received:2025-02-24 Revised:2025-08-12 Published:2026-05-04

Abstract: The distribution patterns of invasive species under climate change have become a key focus in ecology. In view of the strong invasive potential of the genus Bidens, we used the maximum entropy (MaxEnt) model to compare the range of suitable habitats for six Bidens species listed in the Chinese Invasive Species Information System (namely Bidens frondosa, B. alba, B. pilosa, B. vulgata, B. bipinnata and B. subalternans) under current and four different future climatic conditions. Results showed that the MaxEnt model could effectively predict the range of the suitable habitats of all the six species. Under current climate condition, the values of the area under the receiver operating characteristic curve of the six Bidens species are 0.929, 0.976, 0.921, 0.977, 0.903, and 0.980, respectively, indicating that these species have different suitable habitats. Under the four future emission pathways, although the overall area of suitable habitats for these six species generally will increase compared to the current scenario, some species exhibit fluctuating trends with the decreases in the area of suitable habitats. In summary, under global climate change, the suitable habitat ranges of these six invasive species of the genus Bidens generally will show an increasing trend. To effectively control those invasive species, further research should focus on the physiological traits of different species and their response to climate change.

Key words: invasive species, species distribution, habitat prediction, MaxEnt model