Understanding the determination factors of the spatial distribution of forest cover is crucial for global forest governance. This study contributed a nuanced case, focusing on the determination factors for the spatial distribution of forest cover in Fujian Province, China, in 2020. In order to achieve this, a high-resolution GIS-based data set was used, and spatial auto-correlation and geographic detector approaches were adopted. Three findings are presented in the results. First, the spatial distribution of forest cover is affected by natural conditions. In regions with more precipitation, higher altitude, or cooler temperatures, forest cover is higher. The relationship between the spatial distribution of forest cover and slope is an inverted-U shape. Second, socioeconomic factors have a greater explanatory capacity. In particular, regions with dense populations or roads have less forest cover. Third, there is an inverted-U-shaped relationship between the spatial distribution of forest cover and GDP per capita. With the growth of GDP per capita, forest cover is first positive, but subsequently negative. The results indicate that natural factors could shape the spatial distribution of forest cover, while socioeconomic factors could play a more significant role in the spatial distribution of forest cover.

Forest policy classification is critical to conducting comparisons and understanding performance variations across cases. Chinese-style forest policy has been in a black box to many outsiders, who tend to assume a decentralization policy model due to a great diversity of forest and socio-economic conditions in China. To test this hypothesis, we used the policy prescriptiveness framework to classify on-the-ground forest practice policies in central government and eight provinces, covering extensive territorial variations. We found that the eight subnational cases that implemented local policies appeared to be consistent with central policies, but there were also subtle differences within them. Our findings show that China utilized centralized and top-down policy models.