Zhang Enxiang, Wang Xinshuai, Lei Bo, Han Yongwei, Sun Jun
Chongqing Academy of Ecology and Environmental Sciences (Southwest Branch of Chinese Academy of Environmental Sciences), Chongqing, 401336, China.
University of Chinese Academy of Sciences, Huairou, Beijing, 101408, China.
Sci Rep. 2025 Jul 23;15(1):26742. doi: 10.1038/s41598-025-08144-6.
Senecio vulgaris L. (Asteraceae), a European-origin invasive plant, has established widespread populations in China since the nineteenth century, posing both ecological and health-related threats due to its herbicide resistance, toxic pyrrolizidine alkaloids, and broad habitat adaptability. Despite being classified as a Level 4 invasive species in China, its potential risk remains underestimated. In this study, we applied an optimized MaxEnt model using occurrence data from both native (Europe) and invasive (China) ranges to predict the species' potential distribution. Our results revealed high environmental suitability in central, eastern, southwestern, and northeastern China, with human activity, temperature, and precipitation as dominant predictors. Niche analysis indicated that S. vulgaris in China occupies environmental conditions largely overlapping with its native niche, demonstrating niche conservatism rather than expansion. These findings suggest that even moderately ranked invasive species can maintain ecological stability while gradually expanding, especially under increasing anthropogenic pressure. Our results underscore the need for targeted monitoring and preemptive management in agriculturally sensitive regions. This study provides a practical framework for assessing and managing adaptable invasive plants beyond those classified as high risk.
千里光(菊科)是一种原产于欧洲的入侵植物,自19世纪以来已在中国广泛分布,由于其抗除草剂性、有毒的吡咯里西啶生物碱以及广泛的栖息地适应性,对生态和健康构成了威胁。尽管在中国被列为4级入侵物种,但其潜在风险仍被低估。在本研究中,我们使用来自原生地(欧洲)和入侵地(中国)的分布数据,应用优化的最大熵模型来预测该物种的潜在分布。我们的结果显示,中国中部、东部、西南部和东北部的环境适宜性较高,人类活动、温度和降水是主要预测因子。生态位分析表明,中国的千里光占据的环境条件与其原生生态位在很大程度上重叠,表明生态位保守而非扩张。这些发现表明,即使是等级适中的入侵物种在逐渐扩张时也能维持生态稳定,尤其是在人为压力不断增加的情况下。我们的结果强调了在农业敏感地区进行针对性监测和预防性管理的必要性。本研究为评估和管理适应性强的入侵植物提供了一个实用框架,这些植物不仅仅局限于被列为高风险的物种。