Automated Author Profile

Heming, Liu

华东师范大学

Current S-Index

0.9

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.9

Average Dataset Index per dataset

Total Datasets

1

Total datasets for this author

Average FAIR Score

15.4%

Average FAIR Score per dataset

Total Citations

2

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

A dataset of species composition and biomass in successional stages of Tiantong typical evergreen broad-leaved forest (2008–2017) (Version: V1)

As a basic properties of forest vegetation, forest succession law is the basis of understanding forest community, managing forest and utilizing forest rationally. Typical evergreen broad-leaved forest is a zonal vegetation in the subtropical area of east China. The existing vegetation is mostly in different secondary succession stages due to human and natural disturbance. Plant species composition is an important indicator of the long-term terrestrial ecosystem observation of National Ecosystem Research Network of China (CNERN). It affects the biogeochemical cycle, productivity, carbon sequestration, biodiversity and ecosystem services of forest ecosystems. According to CNERN monitoring standards, Zhejiang Tiantong Forest Ecosystem National Observation and Research Station finished three investigations at three succession plots and established a dataset on species composition during 2008 and 2017. The dataset included species name, abundance, mean diameter and biomass of woody plants in the plot. The species composition database provides critical data for in-depth studies of forest species diversity, structure and function under succession or environment change, and can support forest management and ecosystem service evaluation in this region.

Authors

  • Haibo, Yang ;
  • Zemei, Zheng ;
  • Heming, Liu ;
  • Fangfang, Yao ;
  • Shan, Jiang ;
  • Xihua, Wang
2 Citations0 Mentions15% FAIR0.9 Dataset Index
10.57760/sciencedb.j00001.006952022