Prediction of the potentially suitable areas of Leonurus japonicus with the optimized MaxEnt model

Leonurus japonicus Houtt. is a traditional Chinese medicinal plant with high medicinal and edible value. Wild L. japonicus resources have been reduced dramatically in recent years. This study predicted the response of distribution range of L. japonicus to climate change in China, which provided the scientific basis for the conservation and utilization. In this study, 489 occurrence points of L. japonicus were selected based on GIS technology and spThin package. The default parameters of the Maxent model were adjusted by using ENMeva1 package of the R environment, and the optimized Maxent model was used to analyze the distribution of L. japonicus. When the feature combination in the model parameters is hing and the regularization multiplier is 1.5, the Maxent model has a higher degree of optimization. With the AUC of 0.830 our model showed a good predictive performance The results showed that L. japonicus was widely distributed in the current period. The maximum temperature of the warmes..., , , Prediction of the potentially suitable areas of Leonurus japonicus habitability zones with maxent
occurrence points：By sorting out the information of Leonurus japonicus specimens recorded in the Chinese Digital Herbarium (CVH, http://www.cvh.ac.cn/), and combining with the L. japonicus presence points in the Global Biodiversity Information Platform (GBIF, https://www.gbif.org/), the existing distribution positions of L. japonicus were preliminarily obtained, and then the corresponding latitude and longitude coordinates of each distribution point were obtained by Baidu coordinate system. All were used for modeling.
environmental variables：Species’ ecoloical niches are affected by climate, topography, biology, and other factors. In consideration of the comprehensiveness and complexity of ecological factors, 34 environmental variables which could reflect species’ ecoloical niches were selected. The list included 19 bioclimatic factors, 14 soil factors and a topographic factor (altitude).Th...