基于 MaxEnt 模型的海南岛人类活动强度分布预测 及其对野生动物生境干扰分析.

It has always been the focus of ecological geography research to analyze the disturbance of human activities to the habitats of endangered wild animals. This paper takes Hainan Island as the research area and the Easygo human footprints as the sample data, and it also selects the altitude, slope, land use type, average annual precipitation, average annual temperature, population density, distance from large settlements, distance from small settlements, distance from road network, and distance from water system as 10 environmental impact factors. The MaxEnt model is used to simulate and predict the spatial distribution pattern of human activity intensity in Hainan Island. The AUC is 0.745, which means the simulation result is pretty good. Furthermore, the result shows that the areas with high human activity intensity in Hainan Island are distributed along the road network in the surrounding flat coastal areas, while the high-altitude areas in the central and western regions have extremely low human activity intensity. Through the GIS spatial statistical analysis of both the distribution data of human activity intensity and the geographical distribution data of the endangered wild animals, it can be seen that the probability of wild animals being distributed in high inland areas with very low human activity is less than 20%, and the distribution probability of wild animals is over 60% in areas with low human activity intensity, while in surrounding coastal areas with high human activity intensity, the probability is also less than 20%. The results of this paper can provide support for the protection of endangered animals to better maintain biodiversity in Hainan Island. [ABSTRACT FROM AUTHOR]