Analysis of Potential Suitable Habitats of Six Dominant Locusts in the Bortala Mongol Autonomous Prefecture,Xinjiang Based on the MaxEnt Model
In this study,233 geographic distribution points of six dominant locust species were sur-veyed in Bortala Mongol Autonomous Prefecture,Xinjiang from 2015 to 2018 and 2021 to 2022.Com-bined with 24 environmental variables,the maximum entropy model(MaxEnt)was used to analyze the influencing factors and related ecological niche parameters of their distribution in suitable areas.The results indicated that the MaxEnt entropy model performed well in simulating the 11 selected variables,and the average AUC values of each model were all greater than 0.85.According to the analysis of contribution rates,the habitat factors that affect the distribution of suitable habitat for six types of locusts were mainly altitude,soil moisture content,slope,and vegetation coverage,with cumulative contribution rates all above 40%.Other habitat factors varied depending on the type of locusts.Overall,the proportion of high habitat area for six locusts species was the smallest,with their areas all less than 5%of the total area of Bozhou.The high habitat areas of different locusts exhibited certain regional characteristics.The high habi-tat areas for Calliptamus italicus and Oedaleus decorus decorus were located in the western part of Bortala Mon-gol Autonomous Prefecture(Wenquan County),while those for Myrmeleotettix palpalis and Notostaurus albi-cornis were located in the central and western parts of Bortala Mongol Autonomous Prefecture(Bole City and Wenquan County),the high habitat areas for Calliptamus barbarus barbarus were located in the central part of Bortala Mongol Autonomous Prefecture(Bole City and Jinghe County),and the high habitat areas for Gompho-cerus sibiricus were located in Sayram Lake in the central part of Bortala Mongol Autonomous Prefecture(Bole City).Long-term monitoring and control of locusts should be conducted in high priority areas,while moder-ate priority areas had the highes potential for locust outbreaks and require short-term focused monitoring.
BozhouSuitable habitatHabitat factorLocustMaxEnt model
NETL
NSTL
万方数据
