Ecological Suitability Regionalization of Phyllanthus emblica L. Based on MaxEnt and ArcGIS

LI Min1, LI Xin1, YANG Chengzi1,2, WU Aiqin1

1. College of Pharmacy, Fujian University of Traditional Chinese Medicine, Fuzhou 350122, China; 2. Fujian Quality Monitoring and Technology Service Center for Chinese Materia Medica Raw Materials, Fuzhou 350122, China

Abstract: Objective To use maximum entropy (MaxEnt) model and geographic information system to predict the potential suitability distribution areas of Phyllanthus emblica L. in the whole country; To provide a basis for its standardized planting and resource utilization. Methods Totally 218 geographic distribution records of Phyllanthus emblica L. in China were collected, combined with 55 environmental factors, the MaxEnt was applied to study the dominant environmental factors affecting the suitability distribution of Phyllanthus emblica L., and combined with ArcGIS software, the potential suitable distribution areas of Phyllanthus emblica L. were predicted. Results The results predicted by the model were good and the reliability was high (AUC>0.9). The main environmental factors affecting the distribution of Phyllanthus emblica L. were the average temperature in March, December, January, the standard deviation of the seasonal variation of temperature, and the average temperature in April, and May, annual average temperature, annual average temperature range, and the coldest season average temperature, a total of 9 environmental factors. The most suitable distribution areas for Phyllanthus emblica L. included central Yunnan, southern and northern Guangxi, southwestern and southeastern Guangdong, northeastern and southwestern Hainan, and southeastern Fujian. Conclusion The predicted distribution areas of Phyllanthus emblica L. are similar to the actual situation, which can provide reference for standardized cultivation of Phyllanthus emblica L. and further development and utilization of wild resources.

Keywords: Phyllanthus emblica L.; MaxEnt model; GIS; ecological factors; suitability distribution