Projection of suitable region for Amblyomma maculatum distribution in China using the genetic algorithm for rule-set prediction model.
Objective: To project the suitable region in China for Amblyomma maculatum distribution and the grade of the region through analysis of climatic environmental factors and the distribution of A. maculatum, and to provide a scientific basis for the prevention and control of invasive species. Methods: The collated distribution data, combined with environmental data provided by WorldClim, were collected to project the suitable region of A. maculatum using the ecological niche model based on the genetic algorithm for rule-set prediction(GARP). SPSS 25.0 software was used to perform the one-sided Chi-square test, plot the receiver operating characteristic curve, and calculate the area under the curve (AUC) to validate the model. Results: A total of 11 environmental factors were included in the model through screening. The AUC of the model was 0.927, suggesting good predictive ability of the model. The potential suitable regions of A. maculatum in China were located in South China, East China, and Central China. The high, middle and low suitable habitats are distributed from southeast to northwest, and the farthest reaches Sichuan, Shaanxi, Shanxi and northern Hebei. Conclusion: The GARP ecological niche model is more reliable in projecting the suitable region of A. maculatum. There are a lot of suitable regions in China, and the relevant departments should carry out targeted prevention.