Wen Jian, Lv Xiu-Mei, Hong Dao-Xin, Xie Cai-Xiang, Zhang Jing, Zhang Yi
College of Ethnic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences and Peking Union Medical, Beijing 100193, China.
Zhongguo Zhong Yao Za Zhi. 2016 Nov;41(21):3931-3936. doi: 10.4268/cjcmm20162108.
Wildlife tending and artificial cultivation is an important way to protect the wild resources of Rhodiola crenulata. It is a study hotspot at present. The distribution information of R. crenulata was collected by query data and field survey, the ecological suitability regionalization was conducted based on maximum entropy model combine with ecological factors, including climate, soil and altitude. To provide the reference for production layout, suitable planting area and the selection of artificial planting base by studying the ecological suitability regionalization of R. crenulata. The potential distribution areas mainly concentrated in the easen Tibet, western Sichuan, southern Qinghai, and Gansu Gannan Tibetan Autonomous Prefecture, Yunnan Diqing Tibetan Autonomous Prefecture. There were 5 major environmental factors to have obvious influence on ecology suitability distributions of R. crenulata, including altitude (contribution rate of 61.8%), precipitation of warmest quarter (contribution rate of 19%), the coefficient of variation of precipitation seasonality (contribution rate of 4.7%), the SD of temperature seasonality (contribution rate of 4%), mean temperature of driest quarter (contribution rate of 2.5%). The AUCs of ROC curve were both above 0.9, indicating that the predictive results with the Maxent model were highly precise. The study of the ecological suitability regionalization of R. crenulata based on Maxent can provide a scientific basis for the selection of artificial planting base.
野生抚育与人工栽培是保护藏红景天野生资源的重要途径,是目前的研究热点。通过查询资料和实地调查收集藏红景天的分布信息,基于最大熵模型结合气候、土壤、海拔等生态因子进行生态适宜性区划。通过研究藏红景天的生态适宜性区划,为生产布局、适宜种植区域及人工种植基地的选择提供参考。潜在分布区域主要集中在西藏东部、四川西部、青海南部以及甘肃甘南藏族自治州、云南迪庆藏族自治州。有5个主要环境因子对藏红景天的生态适宜性分布有明显影响,包括海拔(贡献率61.8%)、最暖季降水量(贡献率19%)、降水季节性变异系数(贡献率4.7%)、温度季节性标准差(贡献率4%)、最干季平均温度(贡献率2.5%)。ROC曲线的AUC值均在0.9以上,表明Maxent模型的预测结果精度较高。基于Maxent的藏红景天生态适宜性区划研究可为人工种植基地的选择提供科学依据。