中国外来植物数据集

A dataset on catalogue of alien plants in China

搞清楚中国外来植物种类有哪些,从哪里来,如何进入中国,属于什么性质的类群,它们的生物学特征和生态学特性如何等问题,是中国外来入侵植物预防和预警机制研究的重要基础。《中国植物志》、Flora of China、各省级植物志书等记载的外来植物信息由于种种原因非常有限,且目前我国尚没有完整体现中国外来植物信息的数据库。本文通过整合近几年外来植物相关的资料,并通过文献考证增补外来植物原产地、习性等信息,利用计算机网络、数据库及大数据分析技术手段,经信息化处理和分类学校正,进行分类体系重建,最终确定中国外来植物的物种名录数据集。该数据集共有数据14,710条,记载中国外来植物283科3,233属14,710个类群(含13,401原种332杂交种2嵌合体458亚种503变种14变型)。每个类群包括类别、中文科名、科名、中文属名、属名、中文名、别名、学名、命名人、生存状态、生存时间、生活型、原产国家或地区和中国引入省份等基础信息。数据集显示,外来植物已在中国的植物种类构成中占据了相当大的比例(高达28.19%,中国境内有维管植物52,177个类群,其中本土37,464,外来14,710,上述数字包含种下等级,统计截至2021年12月31日);就生存状态而言,栽培植物占所有外来植物的比例高达91%,逃逸植物占7.36%,归化植物占6.69%,入侵植物占2.66%;对于生活型的分析显示,多年生类群占据了外来植物的绝大多数(13,625种,约占总数的92.6%),草本植物(8,937种,约占总数的60.8%)相较于乔木(2,752种,约占总数的18.7%)、灌木(4,916种,约占总数的33.4%)及其他生活型数量要更多;中国的外来植物大多来自北美洲(4,242种)、非洲(3,707种)、南美洲(3,645种)、亚洲(3,102种),欧洲(1,690种)和大洋洲(1,305种)相对较少;而中国具有外来植物最多的前10个省份分别为台湾(6,122种)、北京(5,244种)、福建(3,667种)、广东(3,544种)、云南(3,404种)、上海(2,924种)、江苏(2,183种)、江西(1,789种)、浙江(1,658种)和湖北(973种)。本数据集是第一次对中国外来植物进行全面系统整理,可供从事外来植物相关研究工作参考,也可作为植物多样性研究的基础资料,还可作为农业、林业、草业、园林、草药及自然保护和环境保护人士及高等院校师生的参考数据。

It is an important basis for the research on the prevention and early warning mechanism of alien invasive plants in China to figure out the types of alien plants in China,where they come from,how to enter China,what kind of groups of these alien plants are,as well as their biological and ecological characteristics.The information of alien plants recorded in Flora Reipublicae Popularis Sinicae,Flora of China and their records in the Chinese province flora is very limited due to various reasons.At present,there is no any available database including the complete information of alien plants in China.By integrating materials related to alien plants in recent years,and textual research on the origin,then added the habits of alien plants through literature,then using computer network,databases and big data analysis technical means,after information treatment and taxonomic correction,with reconstruction of the classification,this paper finally provided a dataset on catalogue of alien plants in China.There are 14,710 data in this set,with 14,710 taxa of Chinese alien plants belonging to 3,233 genera and 283 families(including 13,401 original species,332 hybrids,2 chimeras,458 subspecies,503 varieties and 14 forms).Each taxon includes basic information such as taxon,Chinese family name,family name,Chinese genus name,genus name,Chinese name,surname,scientific name,authors,living status,life span,growth habit,native countries or regions,and introduced provinces in China.The data set shows that alien plants have accounted for a considerable proportion in the composition of the Chinese flora(By December 31,2021,there are 52,177 taxa of vascular plants in China,including 37,464 native taxa and 14,710 alien taxa,the proportion of alien plants is as high as 28.19%).In terms of survival status,cultivated plants account for 91%of all alien plants,escape plants account for 7.36%,naturalized plants account for 6.69%and invasive plants account for 2.66%;The analysis of life forms shows that perennial groups account for the vast majority of alien plants(13,625 species,about 92.6%),and the number of herbs(8,937 species,about 60.8%)is more than that of trees(2,752 species,about 18.7%),shrubs(4,916 species,about 33.4%)as well as the other life forms.Most of the alien plants in China were from North America(4,242 species),Africa(3,707 species),South America(3,645 species),and Asia(3,102 species),but less were from Europe(1,690 species)and Oceania(1,305 species).The top 10 provinces in China with more exotic plants are Taiwan(6,122 species),Beijing(5,244 species),Fujian(3,667 species),Guangdong(3,544 species),Yunnan(3,404 species),Shanghai(2,924 species),Jiangsu(2,183 species),Jiangxi(1,789 species),Zhejiang(1,658 species)and Hubei(973 species).This data set is the first comprehensive and systematic collation of alien plants in China.It can be used as a reference for research related to alien plants,as well as basic data for plant diversity research.It can also be used as a reference dataset for people in agriculture,forestry,prataculture,horticulture,herbal medicine,nature protection and environmental protection,as well as teachers and students in colleges and universities.