Maximum Entropy Model Based Distributing Area Prediction and Parameter Optimization of Cervus elaphus xanthopygus in Forest-Grassland Ecotone,Inner Mongolia
By using the MaxEnt model,the potential distribution and suitable habitat of Cervus elaphus xanthopygus in the Gaogesitai Hanwula National Nature Reserve,Inner Mongolia were explored,and the default parameters were com-pared with the optimized parameters to explore the impact of parameter optimization on the results of potential distribution area and suitable habitat prediction.The results showed that:(1)compared to the default parameter model,MaxEnt had the best fit and complexity when the feature combinations in the model parameters were linear,quadratic,fragmented,inte-grable,and threshold,and the regularization multiplier was set as 4.(2)Temperature seasonality,distance to road,dis-tance to grassland,mean temperature of the coldest season,isothermality,elevation,and distance to river might be the main environmental factors affecting the distribution as determined by optimized parameter modeling using the analyses of contribution rate.(3)The prediction results before and after model optimization indicated that C.elaphus xanthopygus might mainly distribute in the northeast of the protected area.The default suitable habitat area in the model was 36.04 km2,accounting for 3.5%of the total area of the study area.In the optimized model,the suitable habitat area was 126.67 km2,accounting for 12.6%of the total area of the suitable habitat.This study shows that it is recommoned to choose the most reasonable parameter settings according to the key environmental factors that affect the distribution of species when using MaxEnt to predict the potential suitable habitat for endangered and rare species.
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