姜是药食两用的常用中药，姜的药用部分为其新鲜根状茎，可用于消炎、镇痛及止呕等。本研究在充分查阅姜资源的相关数据、文献资料基础上，确定姜资源适宜性分布的生态因子，利用遥感和GIS技术提取生态因子，再应用GIS空间叠加分析技术和野外调查验证方法，提取和确定四川省姜资源的适宜区和最适宜区分布范围。研究表明：①姜适宜区主要分布在南充、达州、绵阳等市，最适宜区主要分布在宜宾、资阳、内江。南充市适宜区最适宜区总面积最大，雅安市最小，甘孜、阿坝没有适宜区与最适宜区的分布。适宜区与最适宜区总面积占全省7.846%；②姜资源适宜性分布范围与姜资源实际分布范围基本吻合，表明遥感与GIS技术分析用于研究姜资源适应性分布研究具有可行性、准确性；③研究结果对于姜资源、管理、规划等提供可靠科学依据，也为其他中药材资源的普查提供有效的技术与方法。

Rhizoma Zingiberis Recens is a commonly used Chinese medicine for both medicinal and edible purposes. The medicinal part of ginger is its fresh rhizome, which can be used for anti-inflammatory, analgesic and antiemetic purposes. In this study, the ecological factors for the suitability distribution of ginger resources were determined on the basis of full access to relevant data and literature. Remote sensing and GIS technology was used to extract ecological factors, and then GIS spatial overlay analysis technology and field investigation and verification method were used to extract and determine the suitable area and the most suitable area distribution range of ginger resources in Sichuan Province. Research showed that (1) Ginger suitable area mainly distributed in Nanchong, Dazhou, Mianyang and other cities, the most suitable area mainly distributed in Yibin, Ziyang, Neijiang. The total area of the most suitable area in Nanchong City was the largest, the Ya"an city was the smallest, Ganzi and Aba did not have the distribution of the most suitable area and the most suitable area. Suitable area and the most suitable area total area accounted for 7.846% of the province. (2) Ginger suitability distribution range and ginger resources roughly tallying with the actual distribution range, remote sensing and GIS analysis was used to study adaptive Ginger resources distribution has the feasibility and accuracy. (3) The research results provide reliable scientific basis for the resources, management and planning of Ginger, and also provide effective techniques and methods for the survey of other Chinese medicinal materials resources.

R282.2

全国第四次中药资源普查2019年外业调查研究（2019PC006）