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基于Maxent模型的青藏高原大花红景天生态适宜性分析
引用本文:文检,吕秀梅,洪道鑫,谢彩香,张静,张艺.基于Maxent模型的青藏高原大花红景天生态适宜性分析[J].中国中药杂志,2016,41(21):3931-3936.
作者姓名:文检  吕秀梅  洪道鑫  谢彩香  张静  张艺
作者单位:成都中医药大学 民族医药学院, 四川 成都 611137,成都中医药大学 民族医药学院, 四川 成都 611137,成都中医药大学 民族医药学院, 四川 成都 611137,中国医学科学院 北京协和医学院 药用植物研究所, 北京 100193,成都中医药大学 民族医药学院, 四川 成都 611137,成都中医药大学 民族医药学院, 四川 成都 611137
基金项目:国家自然科学基金项目(81203000);中医药行业科研专项(201507002)
摘    要:濒危物种大花红景天Rhodiola crenulata的野生抚育和人工栽培是保护其野生资源的重要方式,是目前研究的热点问题。研究通过查询标本馆及实地采样调查,收集大花红景天野外分布点经纬度信息,综合气候、土壤、高程等相关生态因子,利用Maxent模型对大花红景天进行适生性分析,研究其在我国青藏高原地区的潜在分布区域以及主要生态特征。Maxent模型预测结果表明,大花红景天生长的潜在分布区域在西藏东部、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的部分区域;对大花红景天生长贡献率大的主要生态因子为海拔(61.8%)、最暖季度降水量(19%)、降水量变异系数(4.7%)、温度季节性变化标准差(4%)和最干季度平均温度(2.5%)。测试集和训练集ROC曲线下的AUC均大于0.9,表明所建立的大花红景天Maxent预测模型准确度高。应用Maxent模型,对大花红景天进行生态适宜性区划研究准确度高,可为大花红景天野生抚育与人工栽培选址提供科学依据。

关 键 词:大花红景天  Maxent模型  生态因子  青藏高原  生态适宜性
收稿时间:2016/6/28 0:00:00

Potential distribution of Rhodiola crenulata in Tibetan Plateau based on Maxent model
WEN Jian,LV Xiu-mei,HONG Dao-xin,XIE Cai-xiang,ZHANG Jing and ZHANG Yi.Potential distribution of Rhodiola crenulata in Tibetan Plateau based on Maxent model[J].China Journal of Chinese Materia Medica,2016,41(21):3931-3936.
Authors:WEN Jian  LV Xiu-mei  HONG Dao-xin  XIE Cai-xiang  ZHANG Jing and ZHANG Yi
Institution:College of Ethnic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China,College of Ethnic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China,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,College of Ethnic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China and College of Ethnic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China
Abstract: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.
Keywords:Rhodiola crenulata  Maxent ecologic model  ecological factors  Tibetan Plateau  potential distribution areas
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