Abstract: Taking the GIS management of Bursaphelenchus xylophilus tree felling in Yiling district as an example,the spatial positions of epidemicwood in the two years from 2019 to 2020 were collected. The spatial data management function of ArcGIS software was used to collect point and surface layers. Spatial information map was drawn by spatial visualization, trend surface, spatial autocorrelation, nearest neighbor distance index and spatial-temporal clustering analysis ofkernel density, so as to intuitively understand the evolution of spatial pattern trend of pine wood nematode disease, and to explain the variation rule and diffusion characteristics of pine wood nematode disease. Analysis results showed that under the control measures, the affected pine forests and epidemic sites （subcompartment） decreased in 2020. The epidemic trend of pine nematode in the two years was in the east and west, with a high value in the east, and the trend line was almost straight line. The outbreak of pine nematode showed cone-shaped central point aggregation and spread. The spatial and temporal clustering characteristics of the epidemic show spatial clustering in the overall pattern, high clustering of pine victims caused by the spread of the epidemic source and clustering distribution pattern of epidemic points. The epidemic situation of Bursaphelenchus xylophilus disease in this region has a certain number of epidemic spots and a wide distribution area, the epidemic situation is difficult to eradicate in a short time. On the comprehensive measures, weshould increase the clearing of epidemic trees, block the spread of the epidemic situation in the new areas, reduce the epidemic spots, regulate the density of pine trees by forest management, reduce the density of Monochamus alternatus and establish a broad-leaved forest ecosystem.

Key words: GIS, Bursaphelenchus xylophilus, time and space, spatial characteristics, Yiling district