植物生态学报 ›› 2025, Vol. 49 ›› Issue (8): 1215-1228.DOI: 10.17521/cjpe.2024.0340

• 数据论文 • 上一篇    下一篇

2010年神农架常绿落叶阔叶混交林和亚高山针叶林长期监测样地植物物种组成和群落特征数据集

赵常明(), 熊高明, 申国珍, 葛结林, 徐文婷, 徐凯, 武元帅, 谢宗强*()()   

  1. 中国科学院植物研究所植被与环境变化重点实验室, 国家植物园, 北京 100093
  • 收稿日期:2024-09-30 接受日期:2025-01-27 出版日期:2025-08-20 发布日期:2025-03-26
  • 通讯作者: * 谢宗强: ORCID:0000-0001-8312-2318 (xie@ibcas.ac.cn)
  • 作者简介:赵常明: ORCID: 0000-0003-4360-7593
  • 基金资助:
    国家自然科学基金(32201323);国家自然科学基金(32271641)

Dataset of plant species composition and community characteristics of mixed evergreen and deciduous broadleaf forest and subalpine coniferous forest of Shennongjia in 2010

ZHAO Chang-Ming(), XIONG Gao-Ming, SHEN Guo-Zhen, GE Jie-Lin, XU Wen-Ting, XU Kai, WU Yuan-Shuai, XIE Zong-Qiang*()()   

  1. Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, China National Botanical Garden, Beijing 100093, China
  • Received:2024-09-30 Accepted:2025-01-27 Online:2025-08-20 Published:2025-03-26
  • Contact: * XIE Zong-Qiang: ORCID:0000-0001-8312-2318 (xie@ibcas.ac.cn)
  • Supported by:
    National Natural Science Foundation of China(32201323);National Natural Science Foundation of China(32271641)

摘要:

植物物种组成和群落特征是森林生态系统结构、功能和动态的基础, 决定了森林生态系统的生产力、碳固存和生物多样性保育等生态系统服务功能, 是中国生态系统研究网络(CERN)和国家生态系统观测研究网络(CNERN)陆地生态系统生物要素长期观测的重要指标。常绿落叶阔叶混交林是中国北亚热带的地带性植被类型, 是对环境变化响应敏感的植被类型之一。亚高山针叶林是神农架山地垂直带谱上部典型的植被类型, 保存有华中地区仅存的大面积原始林, 是秦巴山地重要的生态屏障。湖北神农架森林生态系统国家野外科学观测研究站暨中国科学院神农架生物多样性定位研究站于2001和2008年分别建立了100 m × 100 m的亚高山针叶林长期样地和常绿落叶阔叶混交林长期样地。2010年按照CERN和CNERN监测规范开展了植物群落清查。在100个10 m × 10 m次级样方开展乔木层调查, 在13个10 m × 10 m次级样方开展灌木层和草本层调查。乔木层的调查对象为所有胸径≥1 cm的木本植物个体, 调查指标包括植物物种名、胸径、高度等; 灌木层的监测对象为胸径<1 cm的木本植物, 调查指标包括物种名、多度、平均基径、平均高度、盖度等; 草本层的监测对象为草本植物, 调查指标包括物种名、多度、平均高度、盖度等。通过统计整理形成了该数据集的6个数据表: 森林植物群落乔木层植物物种组成数据表, 森林植物群落灌木层植物物种组成数据表, 森林植物群落草本层植物物种组成表, 森林植物群落乔木层群落特征表, 森林植物群落灌木层群落特征表, 森林植物群落草本层群落特征表。建立和共享该数据集可为深入探究环境变化对北亚热带森林生态系统的群落结构与生产力影响等相关研究提供本底数据, 为该地区的生态系统服务功能评价、生物多样性保育及生态质量监测提供基础数据支撑。

关键词: 神农架, 常绿落叶阔叶混交林, 亚高山针叶林, 植物物种组成, 群落特征, 长期监测

Abstract:

Plant species composition and community characteristics are the basis for the structure, function and dynamics of forest ecosystems, which determine forest ecosystem services such as productivity, carbon sequestration and biodiversity conservation. Plant species composition and community characteristics are important indicators for long-term positional observation of biological elements in terrestrial ecosystems by the Chinese Ecosystem Research Network (CERN) and the Chinese National Ecosystem Research Network (CNERN). Mixed evergreen and deciduous broadleaf forest is a zonal vegetation type in northern subtropical China, and respond sensitively to environmental change. Subalpine coniferous forest is a typical vegetation type in the upper part of the vertical belt spectrum of the Shennongjia mountainous area, preserving a large area of natural primary forests that are the only remaining ones in Central China, and it is an important ecological barrier in the Qinba mountainous area. Two 100 m × 100 m long-term monitoring sample plots of subalpine coniferous forest and mixed evergreen and deciduous broadleaf forest were set up in 2001 and in 2008, respectively, by the Shennongjia Forest Ecosystem Research Station (National Field Station for Forest Ecosystems in Shennongjia, also known as Shennongjia Biodiversity Research Station of Chinese Academy of Sciences). Plant community inventories were conducted in 2010 in accordance with CERN and CNERN monitoring specifications. Tree layer surveys were conducted in 100 sub-samples of 10 m × 10 m, and shrub and herb layer surveys were conducted in 13 sub-samples of 10 m × 10 m. In the tree layer, all woody plants with diameter at breast height (DBH) ≥ 1 cm were surveyed, and the indicators included plant species name, DBH, height, etc. In the shrub layer, woody plants with DBH < 1 cm were monitored, and the indicators included species name, abundance, average basal diameter, average height, and coverage, etc. In the herb layer, herbaceous plants were monitored, and the indicators included species name, abundance, average height, and coverage. Six data tables for this dataset were formed through statistical organization: data sheet on species composition of forest plant communities in the tree layer, data sheet on the species composition of the shrub layer of forest plant communities, data sheet on the species composition of the herbaceous layer of forest plant communities, data sheet on characterization of tree layer communities of forest plant communities, data sheet on characterization of shrub layer communities of forest plant communities, data sheet on characterization of herbaceous layer communities of forest plant communities. This dataset can provide background data for in-depth investigation into the impact of environmental changes on the community structure and productivity of subtropical forest ecosystems, as well as support the evaluation of ecosystem service functions, biodiversity conservation and ecological quality monitoring in the region.

Key words: Shennongjia, mixed evergreen and deciduous broadleaf forest, subalpine coniferous forest, plant species composition, community characteristics, long-term monitoring