Quantitative analysis of the spatial diversity of Moraceae in China

Changes in distribution patterns of economically essential forest species under global change are urgently needed the scientific forecast, and large-scale spatial modeling is a crucial tool. Using diversity pattern indicators other data obtained through geographic information systems (GIS) on Moraceae from published data, we quantitatively studied genera China. The results revealed that patch richness, index, total shape index with multiple were significantly higher than those monotypic genera. Monotypic had no diversity. Maclura most concentrated lowest area among number patches smallest, while significant was highest. S treblus highest abundance compared to fewer species. Streblus smallest distribution, small indicating its distribution. values Shannon’s Diversity Index (SHDI) Simpson’s (SIDI) highest, diverse type more considerable value genera, but small, low. primarily distributed south Yunnan, western Guangxi, west central parts Hainan, southern Guangdong. Most these areas mountainous. temperature decreased elevation, providing environmental conditions for narrow-stem genus. Among China, Ficus diverse, patches, types, SHDI, SIDI values. could be used as protected