中国植物物种名录（2022版）

摘要

《中国植物物种名录2022版》（以下简称《名录》）在国家植物标本资源库门户网站正式发布。该名录共收录117330条名称数据，其中包含45793个接受名称和71537个异名，分属于483科、4275属、38287种和7506种下等级，还包含各名称所对应的原始发表文献和各接受名所对应的省级分布信息。 相比2021版数据，2022版的苔类新增1种，更新1174条数据，藓类新增4种，更新2156条数据，石松类新增3种，更新166条数据，蕨类新增41个种及种下单元，更新2401条数据，裸子植物新增5个种及种下单元，更新404条数据，被子植物新增978个种及种下单元，更新38279条数据。此外，2022版数据依据新的分子系统学和分类修订结果对葡萄科Vitaceae、豆科Fabaceae、十字花科Brassicaceae、石竹科Caryophyllaceae、菊科Asteraceae等类群的属种名称做了较大调整；还增补了在以往植物志书中有记载、但前版名录数据漏载的类群，共计651个种及种下单元。

List of plant species in China (2022 Edition) was officially released on the portal of the national plant specimen resource bank. The directory contains a total of 117330 name data, including 45793 accepted names and 71537 synonyms, belonging to 483 families, 4275 genera, 38287 species and 7506 species, as well as the original published literature corresponding to each name and the provincial distribution information corresponding to each accepted name. Compared with the data of 2021 edition, in 2022 edition, 1 species of moss is added, 1174 data are updated, 4 species of moss are added, 2156 data are updated, 3 species of Lycopodium are added, 166 data are updated, 41 species and subspecies units are added for pteridophytes, 2401 data are updated, 5 species and subspecies units are added for gymnosperms, 404 data are updated, 978 species and subspecies units are added for angiosperms, and 38279 data are updated. In addition, according to the new molecular systematics and taxonomic revision results, the genus and species names of vinaceae Vitaceae, Leguminosae Fabaceae, Cruciferae Brassicaceae, Caryophyllaceae, Asteraceae and other groups have been greatly adjusted; A total of 651 species and subspecial units were added, which were recorded in the previous botanical annals but omitted from the data in the previous edition of the catalogue.

关键词

植物，物种名录

数据集信息

数据引用

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中文致谢方式：
　　感谢中国科学院植物科学数据中心(Plant Data Center of Chinese Academy of Sciences, https://www.plantplus.cn) 提供数据支撑。
To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.

Acknowledgements：
　　Acknowledgements：
　　Acknowledgement for the data support from Plant Data Center of Chinese Academy of Sciences (https://www.plantplus.cn)

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