title: [Multiple-scale analysis on spatial distribution changes of forest carbon storage in Heilongjiang Province, Northeast China based on local statistics].
abstract: Taking 4163 permanent sample plots from Chinese National Forest Inventory (CNFI) and key ecological benefit forest monitoring plots in Heilongjiang Province as basic data, and by using local Moran I and local statistics (local mean and local standard deviation), the spatial pattern, spatial variation and spatial autocorrelation of forest carbon storage in Heilongjiang Province with four bandwidths of 25, 50, 100 and 150 km were investigated, and the change in forest carbon storage across 2005 to 2010 was studied. The results showed that the spatial distribution of forest carbon storage in Heilongjiang Province had significantly positive spatial correlation, which indicated that the changes of carbon storage tended to be similar with their neighbors without a non-random manner. Forest carbon storage was affected by environmental factors, and the spatial heterogeneity strongly existed with a large variation in the study area. The spatial distribution of forest carbon storage was significantly different between 2005 and 2010 with an increasing trend. Local statistics are useful tools for characterizing forest carbon storage change across time and space, which are visualized by ArcGIS.
authors.forename: Chang
authors.initials: C
authors.lastname: Liu
authors.forename: Feng-Ri
authors.initials: FR
authors.lastname: Li
authors.forename: Wei-Wei
authors.initials: WW
authors.lastname: Jia
authors.forename: Zhen
authors.initials: Z
authors.lastname: Zhen
mesh_terms: D002244:Carbon / Q000032:analysis; D057965:Carbon Sequestration; D002681:China; D004784:Environmental Monitoring; D065928:Forests; D012987:Soil / Q000737:chemistry*; D062206:Spatial Analysis; D014197:Trees
chemical_list: D012987:Soil; D002244:Carbon