Chin J Plant Ecol ›› 2025, Vol. 49 ›› Issue (8): 1205-1214.DOI: 10.17521/cjpe.2024.0315  cstr: 32100.14.cjpe.2024.0315

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Dataset of plant species composition and community characteristics in a long-term observation plot of monsoon evergreen broadleaf forest in Dinghushan from 1999 to 2015

LIU Shi-Zhong,*(), ZHANG Qian-Mei, ZHANG De-Qiang, LIU Ju-Xiu, CHU Guo-Wei, LI Yue-Lin   

  1. Dinghushan Forest Ecosystem Research Station, Chinese Academy of Sciences, National Ecological Science Data Center Guangdong Branch, Guangzhou 510650, China
  • Received:2024-09-19 Accepted:2025-01-10 Online:2025-08-20 Published:2025-03-26
  • Supported by:
    Science and Technology Program of Guangdong Province(2024B1212080005);National Key R&D Project(2021YFF0703905);Science and Technology Project of Guangdong Forestry Bureau(2023KYXM09);Operation Service Project of Guangdong Dinghushan Forest Ecosystem National Field Scientific Observation and Research Station of the Ministry of Science and Technology of China

Abstract:

The composition of plant species and community characteristics are critical indicators of biodiversity, community structure, service functions, stability, maintenance mechanisms, and successional dynamics in forest ecosystems. These factors form the basis of forest ecosystem research and are essential metrics for long-term observation of biological components within the China Ecosystem Research Network (CERN). The monsoon evergreen broadleaf forest, a zonal vegetation type in southern subtropical China, serves as the primary observation and research site at the Dinghushan Forest Ecosystem Research Station (hereinafter referred to as Dinghushan Station). In accordance with CERN observation standards, Dinghushan Station conducts surveys on long-term observation plots every five years, examining plants from the tree, shrub, herbaceous, epiphyte, and interlayer strata. This dataset includes data on plant composition and community characteristics from four surveys conducted between 1999 and 2015 in the monsoon evergreen broadleaf forest of Dinghushan. The establishment and dissemination of this dataset contribute valuable local data for advancing research on forest ecosystem biodiversity, community structure, stability, maintenance mechanisms, carbon sequestration, successional dynamics, and related researches. It also provides essential information for forest managements, ecosystem function assessments, and ecological restoration efforts.

Key words: Dinghushan, monsoon evergreen broadleaf forest, species composition, community characteristics, long-term observation