Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 16, issue 1
Articles | Volume 16, issue 1
https://doi.org/10.5194/essd-16-277-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-16-277-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 1
Data description paper
 | 
11 Jan 2024
Data description paper |  | 11 Jan 2024

Mapping 24 woody plant species phenology and ground forest phenology over China from 1951 to 2020

Mengyao Zhu, Junhu Dai, Huanjiong Wang, Juha M. Alatalo, Wei Liu, Yulong Hao, and Quansheng Ge

Viewed

Total article views: 2,218 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,625 508 85 2,218 148 90 68
  • HTML: 1,625
  • PDF: 508
  • XML: 85
  • Total: 2,218
  • Supplement: 148
  • BibTeX: 90
  • EndNote: 68
Views and downloads (calculated since 16 May 2023)
Cumulative views and downloads (calculated since 16 May 2023)

Viewed (geographical distribution)

Total article views: 2,218 (including HTML, PDF, and XML) Thereof 2,152 with geography defined and 66 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Download
Short summary
This study utilized 24,552 in situ phenology observation records from the Chinese Phenology Observation Network to model and map 24 woody plant species phenology and ground forest phenology over China from 1951 to 2020. These phenology maps are the first gridded, independent and reliable phenology data sources for China, offering a high spatial resolution of 0.1° and an average deviation of about 10 days. It contributes to more comprehensive research on plant phenology and climate change.
Read more
Altmetrics
Final-revised paper
Preprint