目的 对内蒙古地区野生黄芩Scutellaria baicalensis 的资源进行调查,并估算野生黄芩的储量。方法 采用3S 技术和分层实地调研相结合的方法选取了植被类型、海拔、年降雨量和年均温4 个指标,作为内蒙古地区野生黄芩重要生境划分指标。根据野生黄芩在内蒙古地区的生境适宜性情况,对4 个指标进行分层,各指标均分为最适宜、适宜、次适宜、不适宜4 个层,从不同的层里采用简单随机抽样的方法进行野外调查。结果 建立了基于4 个气象生境因子的野生黄芩资源储量估算模型,并估算内蒙古地区野生黄芩的总资源储量为1.9 万t。结论 该方法可为第4 次全国中药资源普查和基于3S 技术的中药资源多空间尺度模型估算提供重要参数。

Objective To establish the reserve estimation model, which can estimate the reserves of the wild Scutellaria baicalensis in Inner Mongolia region. Methods Combined 3S technology with the traditional field survey methods, four habitat factors (vegetation type, altitude, rainfall, and temperature) have been selected as indicators for categorizing the habitat region of Inner Mongolia. According to the habitat suitability of wild S. baicalensis in Inner Mongolia region, stratified for each indicator, all indicators are divided into the most suitable, suitable, less suitable, and unsuitable four layers. Each layer in a simple random sampling method conducted field surveys. Results Finally, the method and model to estimate the reserves in Inner Mongolia have been established. This model has been used to estimate the reserve of wild S. baicalensis in Inner Mongolia. The total number of wild S. baicalensis in Inner Mongolia is 19 000 tons. Conclusion It can provide an important parameter for the fourth national survey of Chinese materia medica (CMM) resources and the estimation of CMM resources based on 3S technology by multiple spatial scales model.

国家自然科学基金资助项目(81072999);国家科技支撑子课题(2012BA129B02);河北省高校重点学科建设项目;承德医学院博士基金项目(201502);河北省中医药管理局科研计划项目(2015157);河北省中药产业技术创新联盟项目