title: [Applicability of different models in simulating the relationships between forest fire occurrence and weather factors in Daxing' an Mountains].
abstract: The Poisson's and Zero Inflated Poisson (ZIP) models that meet the data structure of forest fire occurrence were used to explore the relationships between the forest fire occurrence and climate factors in Daxing' an Mountains in 1980-2005. Compared with the ordinary least squares (OLS) model which often produced poor fitting results (R2 = 0.215), the Poisson's and ZIP models operated better, and had better prediction ability on the forest fire occurrence. The AIC and Vuong tests further indicated that ZIP model produced better fitting results, and thus, had better prediction ability than Poisson model.
authors.affiliation: School of Forestry, Northeast Forestry University, Harbin 150040, China. guofutao@126.com
authors.forename: Fu-Tao
authors.initials: FT
authors.lastname: Guo
authors.forename: Hai-Qing
authors.initials: HQ
authors.lastname: Hu
authors.forename: Zhi-Hai
authors.initials: ZH
authors.lastname: Ma
authors.forename: Yang
authors.initials: Y
authors.lastname: Zhang
mesh_terms: D003198:Computer Simulation; D017753:Ecosystem; D005390:Fires; D015233:Models, Statistical; D016012:Poisson Distribution; D014197:Trees / Q000254:growth & development*; D014887:Weather