Abstract
China has become one of the most serious countries suffering from biological invasions in the world. In the context of global climate change, invasive alien species (IAS) are likely to invade a wider area, posing greater ecological and economic threats in China. Western mosquitofish (Gambusia affinis), which is known as one of the 100 most invasive alien species, has distributed widely in southern China and is gradually spreading to the north, causing serious ecological damage and economic losses. However, its distribution in China is still unclear. Hence, there is an urgent need for a more convenient way to detect and monitor the distribution of G. affinis to put forward specific management. Therefore, we detected the distribution of G. affinis in China under current and future climate change by combing Maxent modeling prediction and eDNA verification, which is a more time-saving and reliable method to estimate the distribution of species. The Maxent modeling showed that G. affinis has a broad habitat suitability in China (especially in southern China) and would continue to spread in the future with ongoing climate change. However, eDNA monitoring showed that occurrences can already be detected in regions that Maxent still categorized as unsuitable. Besides temperature, precipitation and human influence were the most important environmental factors affecting the distribution of G. affinis in China. In addition, by environmental DNA analysis, we verified the presence of G. affinis predicted by Maxent in the Qinling Mountains where the presence of G. affinis had not been previously recorded.
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Data availability
All data is available in this article. The datasets generated and/or analyzed during the current study are available in the GenBank repository (LC193305.1) and from the corresponding author on reasonable request.
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Acknowledgements
We are deeply thankful to the World Climate Research Program, Global Biodiversity Information Facility, WorldClim, NASA Socioeconomic Data and Applications Center, and Geospatial Data Cloud for the data we used. Special thanks to Fenzhi Lu for technical assistance, Yu Zhao, Kui Tang, Shuai Zhang, He Wang, and Xuening Li for their assistance in the field and in the lab. We also acknowledge the anonymous reviewers for comments of the manuscript.
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This work was supported by grant from the National Natural Science Foundation of China for Youth (32001196).
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Conceptualization: Xu Han; methodology: **xiao Chen, Lang Wu, Guo Zhang, and **aoteng Fan; formal analysis and investigation: Tao Yan, Long Zhu, Yong**g Guan, Linjun Zhou, Tingting Hou, Xue Xue, **angju Li, Mingrong Wang, Haoran **ng, and **aofan **ong; writing original draft preparation: Xu Han; writing review and editing: Xu Han; funding acquisition: Lang Wu; resources: Lang Wu and Zaizhao Wang; supervision: Zaizhao Wang.
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Han, X., Chen, J., Wu, L. et al. Species distribution modeling combined with environmental DNA analysis to explore distribution of invasive alien mosquitofish (Gambusia affinis) in China. Environ Sci Pollut Res 31, 25978–25990 (2024). https://doi.org/10.1007/s11356-024-32935-5
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DOI: https://doi.org/10.1007/s11356-024-32935-5