Coupling multi-agent model and GIS to simulate pine wood nematode disease spread in ZheJiang province,China
A coupled method based on multi-agent model,remote sensing and GIS is described to simulate the forest disease spread.The coupled model focuses on the temporal dynamics of the Bursaphelenchus xylophilus population at the landscape scale.Each individual is modeled as an autonomous agent who behaves according to a set of rules including spreading in the landscape,feeding on Pinus massoniana,sheltering in forest edges and dying,constrained by terrain,land cover and other variables.The model parameters are derived from remote sensing data and field measurements.Ten factors,including damage degree of Pinus Massoniana,altitude and slope,are helped to build the transfer rules.The main outputs are the dynamic disease distribution maps and survived pine population.Our method is applied and validated in DingHai distinct,Zhou Shan city of Zhejiang Province.Three Landsat TM images from the year 1991 to 2006 are used for the pine information extraction.The extracted pine distribution map is used to compare with the simulated surviving pine map.The results show that the coupled model can produce reasonable results and be used as a virtual experiment tool.However,it is difficult to simulate the human activities to help or prevent disease spread and the long fly behavior of insect vectors.Therefore,there still exists some difference between the simulated results and the real data.At the next step,those factors will be considered.
Multi-agent model forest disease spread Bursaphelenchus xylophilus
Huaguo Huang Lei Wang XiaoLi Zhang YouQing Luo Liqiong Zhao
Key Laboratory for Silviculture and Conservation,Ministry of Education,College of Forestry,Beijing Forestry University,100083,P.R.China
国际会议
第16届国际地理信息科学与技术大会(16th International Conference on GeoInformatics and the Joint Conference)
广州
英文
2008-06-28（万方平台首次上网日期，不代表论文的发表时间）