Abstract: 【Objective】Because forest carbon sequestration is an important component of forest ecosystem services, monitoring of forest carbon sequestration is a vitaltopic in the field of forest ecology research that can provide scientific basis for regional forest planning. 【Method】In this study, data of 6 615 fixed sampling plots from continuous national forest inventory of four periods from 1999 to 2014 were collected, and the Pearson correlation coefficient was calculated to evaluate the prediction performance of five theoretical semi-variance models. The model with the highest prediction accuracy was then chosen to do Kriging interpolation of forest carbon density, followed by analysis of tempo-spatial dynamics and driving factors of forest carbon density. 【Result】Among the five theoretical semi-variance models, the order of prediction accuracy from high to low is sphere model> exponential model> circular model> linear model> Gaussian model. The forest carbon density in Hunan Province in 1999, 2004, 2009 and 2014 was 17.156,17.938,18.491 and 20.489 t/hm², respectively, whereas the standard deviation of forest carbon density was 13.309,15.499,16.211 and 17.141 t/hm², respectively. From 1999 to 2014, forest carbon density in Hunan Province showed a steady upward trend in quantity, but a weakened spatial aggregation, and increased fragmentation trend in spatial distribution. From 1999 to 2014, the spatial distribution of forest carbon density in Hunan Province generally followed a pattern in which the carbon density in the west, south and east(>20 t/hm²)was higher than that in the north and central part(5-20 t/hm²). From 1999 to 2014, the forest carbon density was positively correlated with vegetation coverage, slope and soil thickness, and negatively correlated with light value in 1999 and 2004 but positively correlated in 2009 and 2014. 【Conclusion】It is necessary to improve the function of forest carbon sinks by strengthening the policies regarding conversion of cropland to forest, and the compensation for ecological benefit for public-welfare forests, as well as consolidating the achievements of collective forest tenure reform.