详细信息
锁阳潜在适生区地理分布格局模拟及影响因素分析
Analysis on Geographical Distribution Pattern Simulation and Influencing Factors of Potential Suitable Areas for Cynomorium songaricum Rupr
文献类型:期刊文献
中文题名:锁阳潜在适生区地理分布格局模拟及影响因素分析
英文题名:Analysis on Geographical Distribution Pattern Simulation and Influencing Factors of Potential Suitable Areas for Cynomorium songaricum Rupr
作者:涂工涵[1];席少阳[1];郭旭东[1];龚华乾[1];陈飞[1];朱田田[1,2];刘立[1,2];晋玲[1,2]
第一作者:涂工涵
机构:[1]甘肃中医药大学,甘肃兰州730000;[2]陇药产业创新研究院,甘肃兰州730000
第一机构:甘肃中医药大学
年份:2025
卷号:32
期号:9
起止页码:1
中文期刊名:中国中医药信息杂志
外文期刊名:Chinese Journal of Information on Traditional Chinese Medicine
基金:道地药材产区变迁和生产区划研究(ZYZX-2023-KY-083);中国工程院战略研究与咨询项目(GS2021ZDA06);财政部和农业农村部国家现代农业产业技术体系资助项目(CARS-21);甘肃省自然科学基金(23JRRA1213);甘肃中医药大学研究生“创新创业基金”项目(2025CXCY-044)。
语种:中文
中文关键词:锁阳;潜在适生区;最大熵模型;地理分布格局;影响因素
外文关键词:Cynomorium songaricum Rupr;potential suitable habitats;MaxEnt model;geographical distribution pattern;influencing factors
摘要:目的探析沙生药用植物锁阳在当前气候条件下的潜在适生区地理分布格局及其影响因素,为锁阳药材资源保护及可持续利用提供依据。方法应用最大熵模型综合分析锁阳生长的潜在适生区并结合地理探测器识别影响其适生区的主要环境因子。利用地表覆盖数据叠加分析锁阳适生区内沙地和戈壁的分布特征,对锁阳实际可能的适宜分布区进行量化评估。结果模型预测结果显示,锁阳总适生面积约为2.98×10^(6)km^(2),占中国大陆面积的30.99%,高适生区集中分布于甘肃省、新疆维吾尔自治区、内蒙古自治区、青海省和宁夏回族自治区等省份的沙漠及戈壁区域。气候因子中最冷季度降水量(bio19)、8月份太阳辐射(srad8)、最冷季度平均温度(bio11)等对锁阳分布具有重要影响,尤其是温度与辐射强度的交互作用对适生区分布格局的解释力最强(q=0.82)。叠加地表覆盖数据分析,锁阳实际可能的适生区面积约为9.70×10^(5)km^(2),其中沙地适生区占5.73×10^(5)km^(2),戈壁适生区占3.98×10^(5)km^(2)。结论本研究结合多源数据与模型方法,聚焦锁阳在中国范围内实际可能的适生区,评估锁阳适宜生境的空间分布特征及其影响因素,可为锁阳野生资源保护、生态种植区域优选及其产业的发展提供参考。
Objective To investigate the geographical distribution patterns and influencing factors of suitable habitats for the desert medicinal plant Cynomorium songaricum Rupr under current climatic conditions;To provide a basis for its resource conservation and sustainable utilization.Methods The MaxEnt model was used to analyze potential suitable habitats for Cynomorium songaricum Rupr.Geographical Detector model was used to identify key environmental factors affecting habitat suitability.Surface cover data were overlaid to assess the distribution of sandy and Gobi regions within suitable habitats,enabling a quantitative evaluation of actual potential suitable areas.Results Model predictions indicated a total suitable habitat area of approximately 2.98×10^(6)km^(2),representing 30.99%of China’s mainland area.Highly suitable habitats are concentrated in desert and Gobi regions of Gansu,Xinjiang,Inner Mongolia,Qinghai and Ningxia.Among climatic factors,precipitation of the coldest quarter(bio19),solar radiation in August(srad8),and mean temperature of the coldest quarter(bio11)significantly influence Cynomorium songaricum Rupr distribution.The interaction between temperature and solar radiation intensity exhibited the highest explanatory power for habitat distribution patterns(q=0.82).Overlay analysis with surface cover data estimated the actual potential suitable area at approximately 9.70×10^(5)km^(2),with sandy regions comprising 5.73×10^(5)km^(2)and Gobi regions 3.98×10^(5)km^(2).Conclusion By integrating multi-source data and modeling approaches,this study delineates the potential suitable habitats for Cynomorium songaricum Rupr across China and evaluates the spatial distribution characteristics and influencing factors of suitable habitats in Cynomorium songaricum Rupr.These findings offer a foundation for conserving wild Cynomorium songaricum Rupr resources,optimizing ecological planting regions,and promoting sustainable industry development.
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