科研之友
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摘要
The Sichuan-Chongqing region in Southwestern China is one of the regions where Fagaceae plants are the most abundant. This study focused on species richness of Fagaceae in the aforementioned region. We used the Pearson correlation coefficient (r < 0.8) and the variance expansion factor (VIF < 10) as two criteria to select nine ecological factors that represent the modern climate, historical climate change, and habitat heterogeneity. We explored the effects of these factors on species richness based on a geographically weighted regression (GWR) model. The results showed that (1) there were 74 species from six genera of Fagaceae that were mainly composed of Quercus and Lithocarpus genera in the Sichuan-Chongqing region. (2) Species richness (SR) was the highest in the south, with 29-35 species in the southeast of Jinping Mountains, the west of Lunan Mountains, the middle of Hengduan Mountains, and the eastern part of Dalou Mountains in the southeast of Sichuan Basin. (3) The prediction accuracy of the GWR model is better than ordinary least square (OLS) model. Simulation results of the GWR model showed that the range in elevation, potential evapotranspiration, and precipitation of the warmest quarter were the main factors affecting the SR of Fagaceae; moreover, the effects on SR of the aforementioned factors indicate significant spatial differences. Overall, the GWR model provided a new method to explore the relationship between spatial heterogeneity and species-ecological factors and has good potential applications in biodiversity research.
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