Species distribution modeling combined with environmental DNA analysis to explore distribution of invasive alien mosquitofish (Gambusia affinis) in China

被引:1
作者
Han, Xu [1 ]
Chen, Jinxiao [1 ]
Wu, Lang [1 ]
Zhang, Guo [1 ]
Fan, Xiaoteng [1 ]
Yan, Tao [1 ]
Zhu, Long [2 ]
Guan, Yongjing [1 ]
Zhou, Linjun [1 ]
Hou, Tingting [1 ]
Xue, Xue [1 ]
Li, Xiangju [1 ]
Wang, Mingrong [1 ]
Xing, Haoran [1 ]
Xiong, Xiaofan [1 ]
Wang, Zaizhao [1 ]
机构
[1] Northwest A&F Univ, Coll Anim Sci & Technol, Yangling 712100, Shaanxi, Peoples R China
[2] Jiangsu Ocean Univ, Coll Marine Sci & Fisheries, Lianyungang 222005, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
Gambusia affinis; Biological invasion; Climate change; Maxent; eDNA; BCC-CSM; TEMPERATURE; TOLERANCE; BIOLOGY; MAXENT; CMIP5; BAIRD; RISE;
D O I
10.1007/s11356-024-32935-5
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页码:25978 / 25990
页数:13
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