摘要
云南重楼作为一种常用的名贵药材,具有很高的药用价值,对其适宜分布范围进行研究,可为云南重楼的合理开发、人工种植栽培以及可持续利用研究提供依据。以四川省云南重楼为研究对象,根据相关资料文献,确定云南重楼的生态环境因子,应用遥感和GIS技术分别提取云南重楼适宜生长的海拔、坡度、坡向、年均温、年降水、植被和土壤类型等因子,将生态因子进行空间叠加、结合野外实地验证数据,提取云南重楼适宜分布区域及面积。结论:云南重楼的适宜分布区域总面积约为7 338 km2,占整个研究区域总面积的3.02%;主要集中分布在四川省的凉山州、阿坝州、甘孜州的色达县、攀枝花市、雅安市、成都市、眉山市、乐山市、宜宾市、内江市、泸州市、达州市、巴中市、南充市、广元市等市县区域;分析结果与野外实地验证数据具有较高的一致性,表明利用遥感和GIS技术提取适宜分布范围具有可行性。
Paris yunnanensis is a kind of rare medicinal herb,having a very high medicinal value. Studying its suitable ecological condition can provide a basis for its rational exploitation,artificial cultivation,and sustainable utilization. A practicable method in this paper has been proposed to research the suitable regional distribution of P. yunnanensis in Sichuan province. By the case study of P. yunnanensis in Sichuan province,and according to related literatures,the suitable ecological condition of P. yunnanensis such as altitude,mean annual temperature（ MAT）,annual precipitation,regional slope,slope ranges,vegetative cover,and soil types was analyzed following remote sensing（ RS） and GIS. The appropriate distribution regionof P. yunnanensis and its area were extracted based on RS and GIS technology,combing with the information of the field validation data. The results showed that the concentrated distribution regions in counties of Sichuan province were,Liangshan prefecture,Aba prefecture,Sertar county of Ganzi prefecture,Panzhihua city,Ya＇an city,Chengdu city,Meishan city,Leshan city,Yibin city,Neijiang city,Luzhou city,Bazhong city,Nanchong city,Guangyuan city and other cities and counties area. The suitable distribution area in Sichuan is about 7 338 km^2,accounting for 3. 02%of the total study regional area. The analysis result has high consistency with the filed validation data,and the research method for P. yunnanensis distribution region based onspatial overlay analysis and the extracted the information of land usage and ecological factors following the RS and GIS is reliable.
作者
罗瑶
董永波
祝聪
彭文甫
方清茂
徐新良
LUO Yao;DONG Yong-bo;ZHU Cong;PENG Wen-fu;FANG Qing-mao;XU Xin-liang(The Institute of Geography and Resources Science, Sichuan Normal University, Chengdu 610068, China;Key Laboratory of Land Resources Evaluation and Monitoring in Southwest, Ministry of Education, Sichnan Normal University, Chengdu 610068, China;Sichnan Institute of Traditional Chinese Materia Medica, Chengdu 610041, China;Data Center for Resources and Environmental Sciences, Chinese Academy of Sciences, Bering 100101, China)
出处
《中国中药杂志》
CAS
CSCD
北大核心
2017年第22期4378-4386,共9页
China Journal of Chinese Materia Medica
基金
财政部规划基金项目(17YJA850007)
国家自然科学基金项目(41371125)
关键词
遥感
GIS技术
云南重楼
生态因子
remote sensing
GIS
Paris yunnanensis
ecological factors
