Biomass Spatial Pattern and Driving Factors of Different Vegetation Types of Public Welfare Forests in Hunan Province

An ecological public welfare forest is an important basis for the construction of national security. This study took forests at provincial level or above in Hunan Province as research object. Based on situ monitoring data and remote sensing data, we constructed a random (RF) model inversing biomass with different types. Then, based inversion results, investigated spatial pattern. Combined topographical socio-economic factors, geographically weighted regression (GWR) to analyze driving factors vegetation types forests. The results showed following: (1) presented strip distribution pattern that gradually increases from central southwest northeast. total was 338.13 million tons, average 68.31 t·hm−2. In forests, mean were follows: shrub (4.65 t·hm−2) < broadleaf (59.27 conifer–broadleaf mixed (62.44 bamboo (71.33 coniferous (100.33 t·hm−2). (2) Topographic have significant impact Slope had greatest effect forest, while POP forest. investigates patterns level, filling gap Province. It provides new method improve accuracy estimation support sustainable management