The Study Of Forest Landscape Pattern Based On GIS At The Jingouling Forest Farm

Choosing the Jingouling forest farm as the study object, which located at the wangqing county in the jilin province, the forest landsca pattern of this area is studied. In this study many data are used such as the 1:50000 topographic and forest phase map, the forest management Information though Detailed investigation in 1997 and the 30mx30m TM image in 1997. Supported by the GIS software and the principles, methods and Index systems of landscape ecology, the following conclusions are arrived in this study.(1) The landscape index is 2. 608538 and the contagion index is 0. 82, so the landscape spatial heterogeneity is more higher and heterogeneity patches is mosaic. There are landscape spatial pattern controlled by some environmental factors and status of disturbance at Jingouling.(2) Comparing all kinds of forest types, It shows that the patches of the forest types in the early succession are the scales of small and middle and have regular shapes;the patches of the forest types in the later succession are the scales of large and have compound shapes.(3) In the all kinds of forest types, The relation index between the forest types of the mixed stand are larger than the relation index between the forest types of the pure stand and the relative pure stand;The neighour index between the forest types of the mixed stand are larger than the neighour index between the forest types of the mixed stand and the forest types of the pure stand and the relative pure stand and The neighour index between the forest types of the pure stand and the relative pure stand are small. It shows that within the landscape the mixed stand is the main body and the pure stand and the relative pure stand are distributed in the mixed stand.(4) According to trend surface analysis, the change of horizontal location has not systematic effect on the landscape pattern. The altitude, slope, aspect and the combining of them effect the distribution of the forest types.(5) According to the practical condition in Jinggouling forest farm, variable density stand volume for BP models are developed with the method of the artificial neural network. The test method of regression equation adaptability is used to test the simulative effects of models. The testing result indicates the model is practicable and no system deviation exist and shows The BP model can satisfy the precision of forestry production.