Abstract:

Based on data of forest resource inventory, a classification method for landscape components was developed in this study. With the data of Jingouling Forest Farm of Wangqing Forestry Bureau in Jilin Province, China, the quantitative and spatial database of vegetation and environment factors was established for classification works. Dominant tree species(or groups), elevation, slope and intensity of solar radiation were selected as influencing factors for classification, and the spatial range of the forest farm was segmented into 9 757 elementary units by the projection division of vector layers of the 5 influencing factors. Cluster analysis was then conducted with the 9 757 elementary units and 7 types of landscape component were determined as the key elements of forest landscape composition, and the related patch map was created respectively. Results of patch features and patterns analysis showed that: the small class of the landscape patch constituted the majority, and the small and middle classes of landscape patch accounted for 90% of the total patches. The mixed forest of conifer-broad leaves occupied the biggest area, the longest average patch area, the longest patch perimeter and the inner habitat index, etc., showing a relatively fewer man-made interference and then should be carefully protected in the process of forest management.

Key words: forest landscape, classification method for landscape component, structure analysis of forest landscape, forest resource inventory data for management