The crucial and unique role of extreme tropical cyclones in promoting freshwater invasions in China

• 成果类型: Article
• 署名作者: Gu, Shimin; Gu, Dangen; Shu, Lu; Lin, Zhiqiang; Tu, Weishan; Wang, Yuchen; Liu, Xuan
• 署名单位: Chinese Academy of Sciences; Nanjing Institute of Geology & Paleontology, CAS; Institute of Zoology, CAS; Chinese Academy of Fishery Sciences; Pearl River Fisheries Research Institute, CAFS; Chinese Academy of Fishery Sciences; Shihezi University; Chinese Academy of Sciences; University of Science & Technology of China, CAS; Hebei University; Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS
• 刊物名称: PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
• ISSN/ISSBN: 0027-8424; 1091-6490
• DOI: 10.1073/pnas.2526367123
• 发表日期: 2026-04-28
• 页码: e2526367123
• 关键词: biological invasion; climate change; extreme weather; tropical cyclone; ENVIRONMENTAL DNA; r package; fish; river; hurricanes; IMPACT; biodiversity; SEQUENCES; abundance; THREATEN; index

摘要

Climate change induced extreme weather events (EWEs) and invasive species are major threats to global biodiversity and social economy; however, the unique role of EWEs in facilitating biological invasions remains uncertain. Here, we compiled an extensive dataset of landfalling tropical cyclones (TCs) over the past 70 y covering thousands of kilometers of the Southeast China coast. Through intensive field surveys and environmental DNA investigations, we found that the richness and relative abundance of nonnative freshwater animals, especially fishes, were greater at TC-frequent sites than at TC-free sites after accounting for effects of water body landscapes, native biodiversity, and anthropogenic factors such as aquaculture and religious release of nonnative animals. Nevertheless, no significant differences were observed in native species richness or relative abundance between TC-frequent and TC-free sites. TC-induced precipitation, wind, and natural discharge were the key hydrometeorological parameters for predicting invasions. Our findings highlight the importance of developing proactive strategies against the combined impacts of EWEs and biological invasions under sustained global change.