Simulation of potential distribution of Uraria in China based on maximum entropy model

This study predicted the potential distribution of the genus Uraria under the Last Glacial Maximum (LGM) and current and future (2070s) climate scenarios using the maximum entropy model (MaxEnt). Based on 19 climatic factors and 203 distribution records, dominant factors were chosen using the Jackknife test and receiver operating characteristic (ROC) curves were used to evaluate the simulations. Results revealed that the accuracy of the prediction was "Excellent". The climatic factors with the greatest impact on the distribution of the genus were precipitation in the warmest quarter and minimum temperature of the coldest month. Guangxi, Guangdong, and Taiwan were determined to be the origin centers of the genus in China. With global warming, the suitable geographical distribution of Uraria will shift to the northern and eastern coastal areas of China.