Mu Chaosheng, Guo Xuecheng, Chen Youhua
CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610041, China.
University of Chinese Academy of Sciences, Beijing 100049, China.
Biology (Basel). 2022 Apr 13;11(4):588. doi: 10.3390/biology11040588.
Species distribution models (SDMs) have become indispensable tools in risk assessment and conservation decision-making for invasive species. has a strong dispersal ability, and the main route of introduction to new regions is likely transport via seedlings. This species is understood as one of the foremost successful invasive amphibian species with direct or indirect negative impacts in multiple regions. In this study, we used MaxEnt to assess suitable areas for this species under current and future climates globally and in China. We considered seven climatic variables, three timepoints (current, 2050, and 2070), and three CO emission scenarios. Annual mean temperature, precipitation of the driest month, and annual precipitation were the most important variables predicting occurrence. This species has a much larger suitable habitat area in China than reflected by the current distribution, so the species is likely to spread from the Pearl River Delta to surrounding areas. Under future warming, its invasive range will expand northward in China. In conclusion, this study assessed the risk of invasion of this species and made recommendations for management and prevention.
物种分布模型(SDMs)已成为入侵物种风险评估和保护决策中不可或缺的工具。 具有很强的扩散能力,引入新区域的主要途径可能是通过幼苗运输。该物种被认为是在多个地区产生直接或间接负面影响的最成功的入侵两栖物种之一。在本研究中,我们使用最大熵模型(MaxEnt)评估该物种在当前和未来全球及中国气候条件下的适宜区域。我们考虑了七个气候变量、三个时间点(当前、2050年和2070年)以及三种碳排放情景。年平均温度、最干燥月份的降水量和年降水量是预测 出现的最重要变量。该物种在中国的适宜栖息地面积比当前分布所反映的要大得多,因此该物种可能从珠江三角洲向周边地区扩散。在未来变暖的情况下,其在中国的入侵范围将向北扩展。总之,本研究评估了该物种的入侵风险,并提出了管理和预防建议。