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基于熵权物元模型的黄芩适宜生境区划
引用本文:朱俐南,卫海燕,郭彦龙,桑满杰,崔晋亮,顾蔚.基于熵权物元模型的黄芩适宜生境区划[J].水土保持通报,2015,35(1):153-158.
作者姓名:朱俐南  卫海燕  郭彦龙  桑满杰  崔晋亮  顾蔚
作者单位:陕西师范大学旅游与环境学院;西北濒危药材资源开发国家工程实验室;陕西师范大学生命科学学院
基金项目:国家自然科学基金项目“秦岭地区五味子属遗传多样性与药用资源适宜性评价”(31070293);国家“十一五”科技支撑计划项目“华中五味子、三叶木通野生抚育关键技术研究”(2006BAI06A13-06)
摘    要:目的]黄芩(Scutellaria baicalensis Georgi)是中国3级野生保护药材物种。利用生境适宜性评价模型对黄芩的适宜生境进行区划,并计算各适宜生境面积,为保护和实现黄芩资源的可持续利用提供科学依据。方法]利用熵权物元模型,建立黄芩标志性药用成分黄芩苷(C21H18O11)含量与15个环境评价因子之间的模糊隶属函数,采用熵值法确定各评价因子权重,结合GIS空间分析模拟中国黄芩生境适宜区地理空间分布。结果]中国黄芩不适宜生境、低适宜生境、中适宜生境和高适宜生境的面积分别为5.07×106,1.65×106,1.88×106和1.00×106 km2,其中高适宜生境主要集中在秦岭—淮河一线以北,以河南、山东、辽宁、陕西中南部、河北、吉林、黑龙江南部、山西南部等地区为显著代表,此外云南、安徽等省也有少量分布,与实际分布范围极为吻合。结论]评价因子中平均日较差、降水季节性变化、最湿月降水量以及坡向基本控制了黄芩的地理空间分布。

关 键 词:黄芩  熵权物元  隶属函数  GIS
收稿时间:2014/6/23 0:00:00
修稿时间:2014/7/31 0:00:00

Suitable Habitat Division of Scutellaria Baicalensis Georgi Based on Entropy Weight and Matter Element Model
ZHU Linan,WEI Haiyan,GUO Yanlong,SANG Manjie,CUI Jinliang and GU Wei.Suitable Habitat Division of Scutellaria Baicalensis Georgi Based on Entropy Weight and Matter Element Model[J].Bulletin of Soil and Water Conservation,2015,35(1):153-158.
Authors:ZHU Linan  WEI Haiyan  GUO Yanlong  SANG Manjie  CUI Jinliang and GU Wei
Institution:ZHU Linan;WEI Haiyan;GUO Yanlong;SANG Manjie;CUI Jinliang;GU Wei;College of Tourism and Environment,Shaanxi Normal University;National Engineering Laboratory for Resource Developing of Endangered Chinese Crude Drugs in Northwest of China;College of Life Sciences,Shaanxi Normal University;
Abstract:Objective] Scutellaria baicalensisGeorgi is the third-class conservation of wild medicinal species. We used habitat suitability assessment model to divide the suitable habitat because this information could provide scientifical support for the conservation and sustainable utilization of resources.Methods] Entropy weight and matter element model were used to determine the fuzzy membership function of baicalin content and 15 assessment factors. The entropy evaluation method was used to determine the weight of each factor. Finally, we estimated the spatial distribution ofS. Baicalensisby GIS spatial analysis in China.Results] The area of unsuitable, less-suitable, moderately-suitable and high-suitable habitat for S. baicalensis was 5.07×106, 1.65×106, 1.88×106 and 1.00×106 km2, respectively. The high-suitable habitat are mainly located in the north of Qinling Mountains-Huaihe River line, significantly Henan, Shandong, Liaoning, central and southern of Shaanxi, Hebei, Jilin, southern of Heilongjiang and Shanxi. In addition, there were some distribution in Yunnan, Anhui Province and other places, which was highly consistent with the actual distribution range.Conclusion] Among all selected factors, mean diurnal range(MDR), precipitation seasonality(PS), precipitation of wettest month(PMAX) and aspect(ASPE) are the main control factors.
Keywords:Scutellaria baicalensis Georgi  entropy weight and matter element  membership function  GIS
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