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作 者:谢忠强 李秀璋 李玉玲[2] 薛淑绮 XIE Zhong-qiang;LI Xiu-zhang;LI Yu-ling;XUE Shu-qi(Beijing Huanyu Intelligence Mapping Technology Co.,Ltd.,Beijing 100018,China;Academy of Animal Husbandry and Veterinary Science,Qinghai University,Xining 810016,China;Mapping Institute of Gansu Province,Lanzhou 730000,China)
机构地区:[1]北京环宇智绘科技有限公司,北京100018 [2]青海大学畜牧兽医科学院,青海西宁810016 [3]甘肃省地图院,甘肃兰州730000
出 处:《中国现代中药》2023年第10期2065-2071,共7页Modern Chinese Medicine
基 金:青海省科技计划重大科技专项(2021-SF-A4)。
摘 要:目的:预测青海省冬虫夏草产区资源蕴藏量和产地适宜性区划分析,设计“青海省冬虫夏草蕴藏量及产地适宜性区划分析系统”。方法:基于地理信息技术的组件式开发方式,以最大信息熵模型和青海省冬虫夏草蕴藏量的核心算法搭建C/S架构分析系统。结果:形成了以冬虫夏草采样点的空间分布和密度数据为依据,以生态环境因子库为基础,能够对冬虫夏草进行多维度、定量化、空间化分析的“青海省冬虫夏草蕴藏量及产地适宜性区划分析系统”。结论:建立的分析系统可预测青海省冬虫夏草的资源蕴藏量,并对青海省冬虫夏草进行产地适宜性区划分析。Objective:To predict the resource reserves of Cordyceps sinensis in Qinghai Province and analyze its suitable zoning of production areas,an analysis system for C.sinensis reserves and suitable zoning of production areas in Qinghai Province was designed.Methods:Based on the component development method of geographic information technology,the C/S architecture analysis system was constructed according to the maximum entropy model and the core algorithm of C.sinensis reserves in Qinghai Province.Results:Based on the spatial distribution and density data of C.sinensis sampling points and the ecological environment factor database,the system can analyze the reserves of C.sinensis and suitable zoning of production areas in Qinghai Province in a multi-dimensional,quantitative,and spatial manner.Conclusion:The system can predict the resource reserves of C.sinensis in Qinghai Province and analyze its suitable zoning of production areas.
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