Abstract: The carbon content of different organs of 37 strains of Pinus kesiya var. langbianensis natural forest in Lancang Lahu Autonomous County of Puer, Yunnan Province was determined. The variation function was used to test the carbon content and spatial heterogeneity of 6 dimensions of 8 different scales (50, 100, 150, 200, 250, 300, 350, 400 m) of single-tree branches, leaves, trunks, bark, roots and whole trees. And analyze the spatial heterogeneity of carbon content in various organs of different scales. Results show that the variability-based analysis method can describe the spatial heterogeneity of organ carbon content in different dimensions of P. kesiya var. langbianensis natural forest, and then explore the driving factors that produce this heterogeneity. For the natural forest of P. kesiya var. langbianensis, there is spatial heterogeneity in the carbon content of each dimension within the study area, and this heterogeneity is not randomly generated. The abutment value of the variogram can represent the size of the variation. From the omnidirectional point of view, the spatial variability of the root is the largest, and the spatial variability of the leaves is the smallest. The spatial heterogeneity of the carbon content of different dimensions of P. kesiya var. langbianensis natural forest in different directions is also different. The abutment values of carbon content in different dimensions of P. kesiya var. langbianensis natural forest decreased with the increase of scale, and the nugget value increased with the increase of scale, indicating that spatial heterogeneity is very sensitive to the research scale. For the future research on the carbon content of single wood, it is necessary to fully consider the space problem and select the scale with large spatial heterogeneity in order to better use the data to describe the spatial distribution of carbon content.