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Citation:

Spatial Simulation of the Adaptability of Monochamus alternatus Hope in Yunnan Province

  • Received Date: 2013-02-15
  • Monochamus alternatus Hope is the main intermediary insect of Bursaphelenchus xylophilus. According to the main ecological factors of average temperature and above 10.8℃ accumulated temperature, the spatial distribution of M. alternatus was modeled in order to prevent the occurrence of B. xylophilus. A method was proposed to simulate annual average temperature and above 10.8℃ accumulated temperature by using statistical data from conventional weather stations in Yunnan province and environment variable factors based on GIS spatial analysis and modeling. The result was presented in 90 m×90 m spatial resolution to realize the computation, spatial pattern simulation and visualization of the adaptability of M. alternatus. The results shows that there are wide region suitable for M. alternatus besides the snow mountain in north Yunnan with no suitability, and high mountains in northwest and northeast Yunnan with low suitability. Moreover, the results are definitely related to ecological location. Since the results are presented in a quantitative, refine and visual way, so it is easy to obtain the adaptability of M. alternatus in grid cell, which can provide data for warning, risking assessment, and decision-making in disease prevention.
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Spatial Simulation of the Adaptability of Monochamus alternatus Hope in Yunnan Province

  • 1. Southwest Forestry University, Kunming 650224, Yunnan, China
  • 2. Research Institute of Resource Insects, Chinese Academy Forestry, Kunming 650224, Yunnan, China

Abstract: Monochamus alternatus Hope is the main intermediary insect of Bursaphelenchus xylophilus. According to the main ecological factors of average temperature and above 10.8℃ accumulated temperature, the spatial distribution of M. alternatus was modeled in order to prevent the occurrence of B. xylophilus. A method was proposed to simulate annual average temperature and above 10.8℃ accumulated temperature by using statistical data from conventional weather stations in Yunnan province and environment variable factors based on GIS spatial analysis and modeling. The result was presented in 90 m×90 m spatial resolution to realize the computation, spatial pattern simulation and visualization of the adaptability of M. alternatus. The results shows that there are wide region suitable for M. alternatus besides the snow mountain in north Yunnan with no suitability, and high mountains in northwest and northeast Yunnan with low suitability. Moreover, the results are definitely related to ecological location. Since the results are presented in a quantitative, refine and visual way, so it is easy to obtain the adaptability of M. alternatus in grid cell, which can provide data for warning, risking assessment, and decision-making in disease prevention.

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