[关键词]
[摘要]
目的 对川产道地药材川牛膝资源的适宜性进行评价,为中药资源监测提供参考。方法 本实验以四川省为例,利用遥感和地理信息系统(GIS)技术,结合适宜川牛膝生长的生态环境因子,采用层次分析法和空间分析法,从地形、气候、土壤、植被4个方面对川牛膝适宜性分布进行研究,按照不同指标因子分等,得到四川省川牛膝适宜区分等图,并结合野外实测进行验证,对道地药材川牛膝进行研究。结果 四川省的川牛膝资源主要适宜分布在乐山、雅安、凉山彝族自治州、宜宾等19个市、州,共包含91个县区,适宜性分布总面积约为3 633.52 km2,占四川省总面积的0.76%。根据相关数据、文献资料记载和野外调查研究可以得出,通过遥感与GIS技术分析所得适宜性结果与川牛膝资源实际分布范围基本吻合。结论 利用遥感与GIS技术能够准确、快速地对中药材进行适宜性分析,该方法具有可行性,可为全面调查川牛膝资源和其他中药材资源的分布、保护以及合理开发利用提供数据支持与科学依据。
[Key word]
[Abstract]
Objective To evaluate the suitability of Cyathula officinalis resources grown in Sichuan province, and provide a reference of the monitoring for traditional Chinese medicine resource. Methods Taking the planting of C. officinalis in Sichuan province as an example, The topography, climate, soil, and vegetation of C. officinalis were researched using remote sensing and GIS techniques, binding environment factors in growing and adopting the analytic hierarchy process (AHP) and spatial analysis method. According to the different classification of index factors, the classification map of the suitable area for C. officinalis was obtained and the field measurements were combined to verify. Results The C. officinalis resources in Sichuan province were mainly distributed in about 19 cities or autonomous prefectures such as Leshan City, Ya'an City, Yi Autonomous Prefecture of Liangshan, and Yibin City with suitability distribution areas of 3 633.52 km2 approximately and accounting for 0.76% of the total area. According to the field investigation, related documents, and information records, the suitability distribution based on RS and GIS correspond with the actual distribution areas of C. officinalis resources. Conclusion It is a feasible method to divide the suitability distribution area of C. officinalis Kuan by using RS and GIS as quickly and accurately as possible. It can also provide a support on scientific and date basis to a complete investigation on suitable distribution areas, protection, rational development and utilization of C. officinalis and other medical materials.
[中图分类号]
[基金项目]
国家自然科学基金项目(41371125)