A dataset of Trollius chinensis distribution in Altay, Xinjiang during 1995–2018

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Abstract

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.
1995-2018年新疆阿勒泰地区金莲属植物分布数据集
新疆野生药用资源丰富,主要分布在新疆北部的天山山脉和阿尔泰山脉。金莲是具有清热解毒功效的植物之一。已被列为中国中药产业扶贫推荐中药材之一,市场前景良好。该数据集是在对新疆阿勒泰地区的金莲进行实地研究的基础上形成的。它由三类多源数据组成:81个金莲样本点数据、42个环境变量数据和1个金莲分布数据。其中,样本点数据分别于2018年7月、2019年6月和7月通过实地调查收集;环境变量的数量包括39个气候数据和3个地形数据。气候数据是对阿勒泰地区6个气象站1995-2018年的数据进行插值得到的,地形数据是基于高程数据处理得到的;通过将采样点数据和环境变量数据输入MaxEnt模型进行分析,得到了金莲的分布数据。该数据集可为预测阿勒泰金莲潜在适宜生长区的功能评价提供数据基础。参照阿勒泰金莲的分布区,可选择适宜的生长区进行引种和人工栽培。该数据集可以支持阿勒泰野生金花的资源开发和物种多样性保护,支持科研人员对该药用植物的研究。此外,它对该领域其他野生药用植物的科学研究也具有一定的价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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