云南省种子植物名录数据集

The catalogue of seed plants in Yunnan Province

生物物种名录是一个自然地理区域或行政区域的生物区系本底性的基础资料,是生物多样性研究、保护和合理利用的前提。然而各类分类学文献所采用的观点和分类系统可能并不一致,并且随着植物分类学和系统学等研究的深入、新类群的不断发表以及新记录类群的不断发现导致分类学处理差异。因此,生物物种名录的编目是一个需要及时更新的动态过程。本数据集在整理《云南植物志》《云南种子植物名录》《中国植物志》等各类志书、专著、报告、标本馆和野外考察成果等分类学资料的基础上,通过科学的数据处理和专家审核,按照最新的分类系统,并结合最新的研究结果,完成了云南种子植物(2016版)编目。本数据集包括云南省种子植物253科2392属16064种(含种下等级,不含种下等级的物种数为14538种)。其中,云南省裸子植物9科25属113种(含种下等级,不含种下等级的物种数为105种);被子植物244科2367属15951种(含种下等级,不含种下等级的物种数为14433种)。数据集的每个名称包括拉丁科名、中文科名、学名、中文名4个字段。云南省种子植物名录(2016版)数据集是迄今为止云南省最权威、最准确的种子植物名录,为开展云南省种子植物的科学研究、有效保护、合理利用和管理提供了科学依据,对保护云南省生物多样性具有重要的意义。

Species catalogue provides basic data of a biota in a natural geographical region or an administrative division,and is the premise of biodiversity research and conservation,as well as the rational utilization of botanic resources.However,because of ongoing advances of plant taxonomy and systematics research,and different taxonomist viewpoints,botanical references adopt different plant systems and taxonomy.Species catalogue therefore needs continuous updates.This study conducts a rigorous evaluation and review of the source data collected from Flora of Yunnan,Checklist of Yunnan Seed Plants,Flora of China and other taxonomic references ranging from monograph,herbarium to field investigation,through which the catalogue of seed plants in Yunnan Province(version 2016)was built.This is the most authoritative and accurate catalogue recording information of seed plants in Yunnan so far,which can not only facilitate the research,conservation,and rational utilization of seed plants,but also provide a basis for biodiversity management and policy-making.The dataset covers 16,064 species of seed plants in Yunnan,which fall to 2,392 genera under 253 families.These include 113 species of gymnosperms(including infra-species,105 when infra-species are excluded)affiliated to 25 genera under 9 families,and 15,951 species of angiosperms(including infra-species,14,433 when infra-species are excluded)affiliated to 2,367 genera under 244 families.The dataset consists of four parts of data:family name in Latin,family name in Chinese,species name in Latin and species name in Chinese.