Predicting the Suitable Habitat of Rare and Endangered Yulania spach Species Using Optimization MaxEnt Mod-eling
Based on the geographic distribution data of nine rare and endangered Yulania spach species in China and data on 37 environmental factors,the regularization multiplier(RM)and feature combinations(FC)parameters of the Maximum En-tropy(MaxEnt)model were optimized using the R language ENMeval package to improve model simulation accuracy.This was done in order to better predict the potential suitable habitat distribution trends of each species in the baseline period and under three future climate scenarios,and analyze the main environmental factors affecting their distribution.The results showed that:(1)After optimization of the MaxEnt model,the area under the receiver operating characteristic curve(AUC)values of each rare and endangered Y.spach species were all above 0.95,indicating excellent model simulation performance that can be used for geographic distribution modeling of rare and endangered Y.spach species in China.(2)The main environmental factors influencing the potential distribution of rare and endangered Y.spach species,in order of contribution from largest to smallest,are the minimum temperature of the coldest month(BIO6,46.38％),isothermality(BIO3,13.83％),slope(SLO,8.03％),precipitation of the warmest quarter(BIO18,7.57％),and precipitation of the driest month(BIO 14,6.78％).The factor with the greatest impact on the potential suitable habitat distribution of each species is the minimum temperature of the coldest month,with temperatures around 0℃when the probability is highest for each species.(3)In the three different climate scenarios for the years 2061-2080,the total suitable habitat area of Yula-nia dawsoniana,Yulania viridula,Yulania sargentiana and Yulania liliiflora is expanding,with an increase in area ran-ging from 7 398 to 879 439 km2.The total suitable habitat area of Yulania sinostellata,Yulania pilocarpa,Yulania amoena,Yulania zenii and Yulania campbellii is shrinking,with a decrease in area ranging from 1 605 to 669 830 km2.
Climate changeRare and endangered tree speciesYulania spachMaxEnt modelPrediction of suit-able areas
万方数据
维普
