期刊论文

Wang, GJ

英文

Forests

1999-4907

2023

14

5

1061-

10.3390/f14051061

Data curation: H.L., Y.F. and J.P.; formal analysis: H.L. and J.P.; funding acquisition: G.W.; methodology: H.L. and J.P.; project administration: G.W.; resources: G.W.; software: H.L.; supervision: G.W.; validation: H.L., Y.F. and K.H.; visualization: H.L. and J.P.; writing—original draft: H.L.; writing—review and editing: H.L., Y.F., J.P. and K.H. All authors have read and agreed to the published version of the manuscript. This research is supported by the Key Research and Development Project of Hunan Province of China (Grant No. 2021Nk2018) and the Key Projects of Science and Technology of Guangxi Province of China (Grant No. AB21220026).

本校为第一且通讯机构

An ecological public welfare forest is an important basis for the construction of national ecological security. This study took public welfare forests at the provincial level or above in Hunan Province as the research object. Based on the in situ monitoring data and remote sensing data, we constructed a random forest (RF) model for inversing the biomass of public welfare forests with different types. Then, based on the inversion results, we investigated the biomass spatial pattern. Combined with topographical and socio-economic factors, we constructed a geographically weighted regression (GWR)...