Research On Artificial Pinus Tabulaeformis Forest Combustibility Of Badaling Forest Center In Beijing

Forest fire is the phenomenon of forest burning. The research of forest combustibility is a guiding significance for forest fire forecast, and it may provide the theory basis for the prevention of forest fire, at the same time, it have the directing meaning for the classfication of forest fire rate and the measure establishment of fire prevetion.The representative Plots of Pinus tabulaeformis forest were surveyed, including of biological and ecological Characteristics, and the physicochemical properties of fifteen plant species were tested.The physicochemical properties and the biological and ecological Characteristics were analyzed through PCA and GV, and the flammability order of fifteen plant species was arranged. The landform factors and stand factors and several types of specific forest fuel were surveyed. The correlative relations among the loading and the effective factors were analyzed through correlation analysis method. The predicting models between fuel loading and several factors are set up by linear regression analysis method. According to the flammability of fifiteen plant species and fuel loading and landform factors and stand factors, the integration score of Pinus tabulaeformis forest combustibility was calculated. The combustibility of different forest types were compared, and the forest fire rate was classficatied. The conclusion is five items:First, through the principal component analysis of biological and ecological Characteristics and physicochemical properties, the combustibility order of fifteen plant species is: Pinus tabulaeformis> Quercus mongolica > Pinus armandii> Cotinus coggygria> Castanea mollissima> Robinia pseudoacacia> Celtis bungeana> Koelreuteria paniculata> Betula dahurica> Morus alba> Prunns mandshurica> Juglandaceae> Prunus davidiana> Jugians regia> Acer mono Maxim.Second, the landform factors and stand factors and several types of specific forest fuel wereanalyzed through the correlation analysis method. The result shows mean stand height, slope gradient, and altitude are linear correlative with fuel loading, but mean DBH, shade coverage and stand density are not. The predicting models were established between stand and landform factors and forest fuel loading through the linear regression analysis method, The test effect is remarkable, and the predicting models are convenient to other Pinus tabulaeformis forest fuel loading calculation of Badaling Forest Center in Beijing.Third, the flammability of fifteen plant species and the percentage of species constitution and dead surface fuel loading and stand and landform factors were analyzed. According to these factors, the score of combustibility was calculated. The combustibility of different forest types were compared, and the forest fire rate was classficatied. So, the pattern of combustibility research was set up.Forth, the plots those were classified were analyzed. From the rate of flammability and further flammability, the perceng of pure Pinus tabulaeformis forest is more than the mixing Pinus tabulaeformis forest, then, from the difficult combustibility ang no combustibility, the perceng of the mixing Pinus tabulaeformis forest is more than the pure Pinus tabulaeformis forest. The result shows the combustibility of the pure Pinus tabulaeformis forest is stronger than the mixing Pinus tabulaeformis forest. Thus, the feasibility of the pattern was made sure.