浙江种子植物物种编目
Species cataloging of the seed plants in Zhejiang, East China
金孝锋, 鲁益飞, 丁炳扬, 李根有, 陈征海, 张方钢(浙江省森林芳香植物康养功能研究重点实验室/浙江农林大学林业与生物技术学院, 浙江大学生命科学学院, 浙江省林业科学研究院, 浙江农林大学暨阳学院, 浙江省森林资源监测中心, 浙江自然博物院)
发布时间：2022/11/21 8:31:41
摘要
生物多样性的编目和分类以及生物多样性监测是全球生物多样性研究的两个核心内容。物种编目是了解物种多样性的基础, 只有掌握物种分布格局及物种与环境的关系, 才能为物种监测和科学管理提供依据。作为浙江种子植物研究的“家底”, 本数据集在《浙江植物志(新编)》编研的基础上, 系统整理了浙江种子植物的物种名录。结果显示, 浙江共有种子植物212科1,469属4,430种, 其中野生植物有190科1,085属3,347种。所含种数多于100种的科有禾本科(285种)、莎草科(216种)、菊科(186种)、蔷薇科(153种)、兰科(126种)、蝶形花科(109种)和唇形科(108种); 含20种以上的属有15属, 包括薹草属(
Carex, 126种)、刚竹属(
Phyllostachys, 44种)、悬钩子属(
Rubus, 44种)、冬青属(
Ilex, 35种)、蓼属(
Polygonum, 34种)、珍珠菜属(
Lysimachia, 32种)、铁线莲属(
Clematis, 31种)、景天属(
Sedum, 28种)、槭属(
Acer, 26种)、荚蒾属(
Viburnum, 26种)、飘拂草属(
Fimbristylis, 26种)、蒿属(
Artemisia, 25种)、堇菜属(
Viola, 22种)、葡萄属(
Vitis, 21种)和山矾属(
Symplocos, 21种)。其区系特点主要反映在: 物种丰富, 其科属组成多样; 保存了较多古老孑遗植物; 地理成分多样, 联系广泛, 由热带向温带过渡; 中国特有科2科、中国特有属45属、浙江(准)特有种近500种(含亚种和变种), 珍稀濒危植物丰富, 96种为国家重点保护植物; 外来植物多, 入侵风险大, 有些种已形成明显的危害。
The inventory and classification of biodiversity and biodiversity monitoring are the two core issues of global biodiversity research. Species inventory is the basis for understanding species diversity, and only by mastering the distribution pattern of species and the relationship between species and the environment we can provide a basis for species monitoring and scientific management. Based on field work, specimen collection, specimen examination, and literature review, we provided an inventory of seed plants in the Zhejiang Province. The present checklist records a total of 4,430 species belonging to 1,469 genera in 212 families, including 3,347 wild plants in 1,085 genera of 190 families. There are 7 families with more than 100 species, namely Poaceae (285 species), Cyperaceae (216 species), Asteraceae (186 species), Rosaceae (153 species), Orchidaceae (126 species), Fabaceae (109 species) and Lamiaceae (108 species). There are 15 genera with more than 20 species, including Carex (126 species), Phyllostachys (44 species), Rubus (44 species), Ilex (35 species), Polygonum (34 species), Lysimachia (32 species), Clematis (31 species), Sedum (28 species), Acer (26 species), Viburnum (26 species), Fimbristylis (26 species), Artemisia (25 species), Viola (22 species), Vitis (21 species) and Symplocos (21 species). There are 149 families with less than 20 species (78.42% of total species), which contains 388 genera (35.76%) and 902 species (26.95%). Genera with less than 5 species are 952 genera (87.74%), which includes 1,707 species (51.00%). Based on the statistical analysis, the floristic characteristics of Zhejiang are as follows: (1) the region is rich in species, with diverse families and genera; (2) the glacial refugia in East China retained many ancient and relict plants; (3) multiform geographic components reflect the transitional zone from the tropic to the temperate zone; (4) the region is rich in endemic and protected species which need to be protected; (5) there are many alien and invasive plants which need to be prevented early on.
关键词
种子植物, 物种编目, 区系, 地理成分, 浙江
数据集信息
数据引用
| 必引文献: |
金孝锋, 鲁益飞, 丁炳扬, 李根有, 陈征海, 张方钢 (2022) 浙江种子植物物种编目. 生物多样性, 30, 21408. DOI: 10.17520/biods.2021408；
Xiaofeng Jin, Yifei Lu, Bingyang Ding, Genyou Li, Zhenghai Chen, Fanggang Zhang (2022) Species cataloging of the seed plants in Zhejiang, East China. Biodiversity Science, 30, 21408. DOI: 10.17520/biods.2021408 |
| 数据引用: |
数据来源于：浙江种子植物物种编目,金孝锋, 鲁益飞, 丁炳扬, 李根有, 陈征海, 张方钢(浙江省森林芳香植物康养功能研究重点实验室/浙江农林大学林业与生物技术学院, 浙江大学生命科学学院, 浙江省林业科学研究院, 浙江农林大学暨阳学院, 浙江省森林资源监测中心, 浙江自然博物院), 2022, 中国科学院植物科学数据中心, DOI:10.17520/biods.2021408, CSTR:34735.11.biods.2021408
Normative references：Species cataloging of the seed plants in Zhejiang, East China, 2022, Plant Data Center of Chinese Academy of Sciences, DOI:10.17520/biods.2021408, CSTR:34735.11.biods.2021408 |
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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：
Acknowledgement for the data support from Plant Data Center of Chinese Academy of Sciences (https://www.plantplus.cn).
