![]() ![]() ![]() 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 Q. The results show that when the parameters are FC = LQHP and RM = 3, the Ma圎nt model is optimal and AUC values are greater than 0.95. spinosa, this study uses the optimized Ma圎nt 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. Based on the existing distribution records of Q. 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. ![]() Quasipaa spinosa is a large cold-water frog unique to China, with great ecological and economic value. ![]()
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