Spatial point pattern analysis of pine wilt disease occurrence and its influence factors

doi:10.13287/j.1001-9332.202209.030

Abstract

Abstract: Pine wilt disease has caused huge losses in ecological and economic values in China, especially in the southern parts. Analyzing the spatial distribution of pine wilt disease and quantifying the impact of environmental factors on its occurrence were of great significance for its prevention and control. In this study, we examined the spatial pattern of pine wilt disease occurrence and its response to environmental variables in Nankang District, Ganzhou, Jiangxi Province, using kernel-smoothing density, Ripley’s K function, and point process model. The results showed that the occurrence of pine wilt disease in the study region was not randomly distributed, but was obviously clustered at some areas. Terrain, vegetation, and human activity were the main factors affecting the heterogeneous distribution of pine wilt disease. Spatial point pattern analysis showed that altitude, slope, distance to the nearest road, road density, distance to nearest settlement, canopy closure, and vegetation type had significant effects on the occurrence of pine wilt disease. In addition to strengthening the control of disease transmission caused by human activities, we should also consider the effects of terrain and vegetation types for early warning and monitoring in forest disease management.

Key words: pine wilt disease, spatial point pattern, spatial distribution, human activity

LIU Qiang, WU Zhi-wei, LIN Shi-tao, LI Shun, FANG Zhi-bing. Spatial point pattern analysis of pine wilt disease occurrence and its influence factors[J]. Chinese Journal of Applied Ecology, 2022, 33(9): 2530-2538.

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