Hou Jinliang, Xiang Jianguo, Li Deliang, Liu Xinhua
College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China.
Biology (Basel). 2023 Feb 25;12(3):366. doi: 10.3390/biology12030366.
is a large cold-water frog unique to China, with great ecological and economic value. In recent years, due to the impact of human activities on the climate, its habitat has been destroyed, resulting in a sharp decline in natural population resources. Based on the existing distribution records of , this study uses the optimized MaxEnt model and ArcGis 10.2 software to screen out 10 factors such as climate and altitude to predict its future potential distribution area because of climate change. The results show that when the parameters are FC = LQHP and RM = 3, the MaxEnt model is optimal and AUC values are greater than 0.95. The precipitation of the driest month (bio14), temperature seasonality (bio4), elevation (ele), isothermality (bio3), and the minimum temperature of coldest month (bio6) were the main environmental factors affecting the potential range of the . At present, high-suitability areas are mainly in the Hunan, Fujian, Jiangxi, Chongqing, Guizhou, Anhui, and Sichuan provinces of China. In the future, the potential distribution area of may gradually extend to the northwest and north. The low-concentration emissions scenario in the future can increase the area of suitable habitat for and slow down the reduction in the amount of high-suitability areas to a certain extent. In conclusion, the habitat of is mainly distributed in southern China. Because of global climate change, the high-altitude mountainous areas in southern China with abundant water resources may be the main potential habitat area of . Predicting the changes in the distribution patterns of can better help us understand the biogeography of and develop conservation strategies to minimize the impacts of climate change.
是中国特有的大型冷水蛙,具有很高的生态和经济价值。近年来,由于人类活动对气候的影响,其栖息地遭到破坏,导致自然种群资源急剧下降。基于现有的分布记录,本研究使用优化后的MaxEnt模型和ArcGis 10.2软件,筛选出气候和海拔等10个因素,以预测由于气候变化其未来潜在分布区域。结果表明,当参数为FC = LQHP且RM = 3时,MaxEnt模型最优,AUC值大于0.95。最干燥月份的降水量(bio14)、温度季节性(bio4)、海拔(ele)、等温性(bio3)以及最冷月的最低温度(bio6)是影响其潜在分布范围的主要环境因素。目前,高适生区主要在中国的湖南、福建、江西、重庆、贵州、安徽和四川省。未来,其潜在分布区域可能会逐渐向西北和北部扩展。未来的低浓度排放情景可以增加其适宜栖息地面积,并在一定程度上减缓高适生区面积的减少。总之,其栖息地主要分布在中国南方。由于全球气候变化,中国南方水资源丰富的高海拔山区可能是其主要潜在栖息地。预测其分布格局的变化可以更好地帮助我们了解其生物地理学,并制定保护策略以尽量减少气候变化的影响。