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作 者:古丽米拉·克孜尔别克[1] 海拉提·克孜尔别克[2] 邱琴 库丽夏西·马尼 王晓丽[4,5,6] 孙伟 刘继芳[4] Gulimila KEZIERBIEKE;Hailati KEZIERBIEKE;QIU Qin;Kulixiaxi MANI;WANG Xiaoli;SUN Wei;LIU Jifang(College of Computer and Information Engineering,Xinjiang Agricultural University,Urumqi 830052,P.R.China;School of Information Science and Engineering,Xinjiang University,Urumqi 830046,P.R.China;Xinjiang Altay Kazakh Medical Hospital,Altay 836599,P.R.China;Agricultural Information Institute of Chinese Academy of Agricultural Sciences,Beijing 100081,P.R.China;National Agriculture Science Data Center,Beijing 100081,P.R.China;National Nanfan Research Institute(Sanya),Chinese Academy of Agricultural Sciences,Sanya 572024,P.R.China)
机构地区:[1]新疆农业大学计算机与信息工程学院,乌鲁木齐830052 [2]新疆大学信息科学与工程学院,乌鲁木齐830046 [3]新疆阿勒泰地区哈萨克医医院,阿勒泰836599 [4]中国农业科学院农业信息研究所,北京100081 [5]国家农业科学数据中心,北京100081 [6]中国农业科学院国家南繁研究院,海南三亚572024
出 处:《中国科学数据(中英文网络版)》2023年第1期272-281,共10页China Scientific Data
基 金:国家自然科学基金(61662080、41807005)。
摘 要:新疆野生药用资源十分丰富,主要分布在新疆北部天山山脉及阿尔泰山脉。金莲花是其中一种具有清热解毒功效的植物,已被列入我国中药材产业扶贫推荐种植中药材名录,市场前景较好。本数据集通过实地调查新疆阿勒泰地区的金莲花后整理形成,由81个金莲花样本点数据、42个环境变量数据和1个金莲花分布数据这3类多源数据组成。其中,样本点数据于2018年7月和2019年6-7月实地调查采集所得;环境变量数包含39个气候数据与3个地形数据,气候数据通过对阿勒泰地区1995-2018年6个气象站数据进行插值所得,地形数据基于高程数据处理所得;将样本点数据与环境变量数据输入MaxEnt模型分析得到金莲花分布数据。本数据集可为预测阿勒泰金莲花潜在适生区功能评估提供数据基础,通过阿勒泰金莲花分布区选择适宜生长地区进行引种和人工栽培,为阿勒泰野生金莲花的资源开发和物种多样性保护提供理论依据,对于科研工作者对此类药用植物的研究提供数据支撑,同时对其他野生药用植物在此领域的科学研究也具有一定价值。Xinjiang is rich in wild medicinal resources,which are mainly distributed in Tianshan Mountains and Altai Mountains in Northern Xinjiang.Trollius chinensis is one of the plants with heat clearing and detoxifying effects.It has been listed as one of the recommended Chinese medicinal materials for poverty alleviation in China’s traditional Chinese medicine industry,with a good market prospect.This dataset is formed based on the field study on Trollius chinensis in Altay,Xinjiang.It consists of three types of multi-source data:81 Trollius chinensis sample point data,42 environmental variable data and one Trollius chinensis distribution data.Among them,the data of sample points were collected through field study in July,2018 as well as June and July,2019;The number of environmental variables includes 39 climatic data and 3 topographic data.The climatic data are obtained by interpolating the data of 6 meteorological stations in Altay region from 1995 to 2018,and the topographic data are obtained based on elevation data processing;the distribution data of Trollius chinensis are obtained through inputting the sample point data and environmental variable data into MaxEnt model for analysis.This dataset can provide a data basis for predicting the function evaluation of the potential suitable growth area of Altay Golden Lotus.Referring to the distribution area of Altay Golden Lotus,suitable growth areas can be selected for introduction and artificial cultivation.The dataset can support the resource development and species diversity protection of Altay wild Golden chinensis,and prop up the research of scientific researchers on such medicinal plants.Moreover,it also has certain value for the scientific research of other wild medicinal plants in this field.
分 类 号:S567.239[农业科学—中草药栽培]
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