Study On Spatial Heterogeneity Of Picea Schrenkiana Var. Tianshanica Biomass

The study took Eastern Gongliu forest in western Tianshan Mountain, Xinjiang Province as research area. In order to extract forest vegetation information of different scales and ages, author utilized HJ-1B satellite images and forest inventory data based on data preprocessing. Combining with established Picea Schrenkiana var. tianshanica biomass remote sensing monitoring models and the linear regression model of volume and biomass, forest biomass was simulated for different age classes in western Tianshan Mountain. According to analysis of relevance and linear regression, the relationships between biomass and vegetation index were defined at distinctive age levels.To analyze different spatial scales of spatial heterogeneity for forest biomass, author utilized geostatistical methods with spherical, exponential and Gaussian models to fit the theoretical variogram models. The results showed that:spatial distributions of biomass in the forest-scale were influenced by random factors, spatial variation of small management units and characteristics of the random sample data. In the small-management-units scale, spatial distributions of biomass influenced by structure factors generally had better spatial continuity and relativity and in lower level of variation. Analysis based on different image resolution resampled by HJ-1B images concluded closed-matured and matured forest had similar features of spatial variation; in specified scales, it was possible to realize scale-simulation for forest biomass of the same age class.From angles of structure and random factors, author discussed how terrain, biological population update and soil types affected spatial distribution of forest:in the elevation of 1400-2700m, slope of 15～35°, shade and half-shade aspect distributed most biomass; soil types and texture, crown density, update situation and rate influenced its distribution a lot. In order to summarize effect of random factors, author took human disturbance to define the relationship among them in the light of management type, forest utilization and origin. Together with structure and random factors, it led to present spatial distribution and variation of forest biomass in Eastern Gongliu Forest.