中国科学院植物科学数据中心>> 植被生态 >> 数据集
中国北方蒙古莸群落的分布、特征和分类数据集
Data set of distribution, characteristics and classification of Caryopteris mongholica community in northern China
于笑 纪若璇 任天梦 夏新莉 尹伟伦 刘超(北京林业大学)
发布时间:2023/11/15 15:46:58
摘要
蒙古莸(Caryopteris mongholica)是分布在典型草原、荒漠化草原、荒漠的重点保护野生植物, 但对于其群落特征和分类方面的研究较匮乏, 研究蒙古莸在中国北方的分布、群落特征及其分类, 可以为其进一步的保护管理提供参考依据。于2018–2021年, 在中国北方共选择40处具有代表性的蒙古莸群落样地, 利用样地调查法对其群落特征进行研究。主要结果有: 1)蒙古莸在中国集中分布于内蒙古东、中部及西部、黄土高原北部、河西走廊、祁连山等西北温带荒漠区及草原区, 常为群落中的优势种或伴生种。2) 40个样地中共记录种子植物149种, 隶属于37科107属, 其中以蒙古莸为优势种的群落共31个, 种子植物140种, 群落中以菊科、豆科和禾本科植物为主; 其中灌木、小半灌木39种, 多年生草本76种, 一/二年生草本24种; 物种存在度等级划分中, Ⅰ级(0–20%)植物占总物种数的87.94%, 多为群落中的偶见种; 水分生态类型中, 广幅旱生植物占优势(63.12%); 区系地理成分以亚洲中部植物为主(26.24%)。3)根据生活型和优势度, 将31个蒙古莸群落划分为3个群丛组, 分别为蒙古莸-草本群丛组, 蒙古莸+灌木-草本群丛组, 蒙古莸+灌木群丛组, 进一步细分为19个群丛。4)经度及降水量显著影响蒙古莸群落的分布及物种多样性。
Caryopteris mongholica is a key protected wildflower plant distributed in typical steppe, desertified steppe and desert areas. But there is a lack of research on its community characteristics and classification. This paper aims to study the distribution, characteristics and classification of C. mongholica in northern China and provide a reference for further protection and management. From 2018 to 2021, a total of 40 representative C. mongholica community sites were selected in northern China, and their community characteristics were studied using the sample plot survey method. Results showed: (1) Caryopteris mongholica is concentrated in the eastern, central and western of Nei Mongol, the northern Loess Plateau, Hexi corridor, Qilian Mountains and other northwest temperate desert or steppe areas in China, and is often the dominant or associated species in the communities. (2) According to the survey of 40 sample sites, a total of 149 species of seed plants were recorded, belonging to 107 genera of 37 families, among which 31 communities with C. mongholica as construction or dominant species and 140 species of seed plants were recorded, mainly Compositae, Leguminosae and Gramineae. Among them, 39 species of shrubs, dwarf- and semi-shrubs, 76 species of perennial herbs and 24 species were annuals and biennials. In the classification of species presence, 87.94% were occasional species with frequency distribution smaller than 20%. Wide-range xerophytes occupied the advantage (63.12%) in the water ecological types. Middle Asia (26.24%) were the major floristic geographic elements. (3) Based on the life form and dominance of species, the 31 C. mongholica communities were divided into 3 major association groups, C. mongholica - herb association group,C. mongholica + shrub - herb association group and C. mongholica + shrub association group, which were further subdivided into 19 associations. (4) Longitude and precipitation significantly influence the distribution of C. mongholica communities and species diversity.
关键词
蒙古莸, 种群分布, 群落特征, 物种多样性
数据引用
必引文献: 于笑, 纪若璇, 任天梦, 夏新莉, 尹伟伦, 刘超. 中国北方蒙古莸群落的分布、特征和分类. 植物生态学报, 2023, 47(8): 1182-1192. DOI: 10.17521/cjpe.2022.0239
YU Xiao, JI Ruo-Xuan, REN Tian-Meng, XIA Xin-Li, YIN Wei-Lun, LIU Chao. Distribution, characteristics and classification of Caryopteris mongholica communities in northern China. Chinese Journal of Plant Ecology, 2023, 47(8): 1182-1192. DOI: 10.17521/cjpe.2022.0239
数据引用: 数据来源于:中国北方蒙古莸群落的分布、特征和分类数据集,于笑 纪若璇 任天梦 夏新莉 尹伟伦 刘超(北京林业大学), 2023, 中国科学院植物科学数据中心, DOI:10.17521/cjpe.2022.0239, CSTR:34735.11.PLANTDATA.1432

Normative references:Data set of distribution, characteristics and classification of Caryopteris mongholica community in northern China, 2023, Plant Data Center of Chinese Academy of Sciences, DOI:10.17521/cjpe.2022.0239, CSTR:34735.11.PLANTDATA.1432
数据使用条款
为尊重知识产权、保障数据作者的权益、扩展数据中心的服务、评估数据的应用潜力,请数据使用者在使用数据所产生的研究成果中(包括公开发表的论文、论著、数据产品和未公开发表的研究报告、数据产品等成果),明确注明数据来源和数据作者。对于转载(二次或多次发布)的数据,作者还须注明原始数据来源。
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).
访问统计信息
数据服务
CSTR34735.11.PLANTDATA.1432
DOI10.17521/cjpe.2022.0239
浏览量: 930,下载量: 598
元数据:
地理范围
东经E:117-95
北纬N:36-46
空间分辨率:10km
数据提供者
数据提供者:于笑 纪若璇 任天梦 夏新莉 尹伟伦 刘超
联系人:刘超
联系电话:13810437934
电子邮箱:liuchao1306@bjfu.edu.cn