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[Spatial point pattern analysis of pine wilt disease occurrence and its influence factors]
Qiang Liu1,1,1, Zhi-Wei Wu1,1,1, Shi-Tao Lin2
1, 330022.
Ying Yong Sheng Tai Xue Bao = the Journal of Applied Ecology
|September 22, 2022
Summary
Pine wilt disease is clustered in affected areas, driven by terrain, vegetation, and human activity. Understanding these spatial patterns is crucial for effective forest disease management and early warning systems.
Area of Science:
- Forestry
- Plant Pathology
- Spatial Ecology
Background:
- Pine wilt disease causes significant ecological and economic losses in China.
- Understanding spatial distribution and environmental drivers is vital for disease control.
Purpose of the Study:
- To analyze the spatial pattern of pine wilt disease occurrence.
- To quantify the impact of environmental factors on disease distribution in Nankang District, Ganzhou, Jiangxi Province.
Main Methods:
- Kernel-smoothing density analysis
- Ripley's K-function for spatial pattern analysis
- Point process modeling to assess environmental variable impacts
Main Results:
- Pine wilt disease occurrence is not random but significantly clustered.
- Altitude, slope, proximity to roads and settlements, canopy closure, and vegetation type influence disease distribution.
- Human activities, terrain, and vegetation are key factors in the heterogeneous spread.
Conclusions:
- Spatial analysis reveals significant clustering of pine wilt disease.
- Environmental factors including terrain, vegetation, and human activity are critical drivers.
- Integrating spatial insights into forest disease management enhances early warning and monitoring efforts.
