Articles | Volume 14, issue 9
https://doi.org/10.5194/essd-14-3961-2022
https://doi.org/10.5194/essd-14-3961-2022
Data description paper
 | 
02 Sep 2022
Data description paper |  | 02 Sep 2022

Artemisia pollen dataset for exploring the potential ecological indicators in deep time

Li-Li Lu, Bo-Han Jiao, Feng Qin, Gan Xie, Kai-Qing Lu, Jin-Feng Li, Bin Sun, Min Li, David K. Ferguson, Tian-Gang Gao, Yi-Feng Yao, and Yu-Fei Wang

Viewed

Total article views: 2,929 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,162 636 131 2,929 62 76
  • HTML: 2,162
  • PDF: 636
  • XML: 131
  • Total: 2,929
  • BibTeX: 62
  • EndNote: 76
Views and downloads (calculated since 14 Mar 2022)
Cumulative views and downloads (calculated since 14 Mar 2022)

Viewed (geographical distribution)

Total article views: 2,929 (including HTML, PDF, and XML) Thereof 2,758 with geography defined and 171 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 08 Nov 2024
Download
Short summary
Artemisia is one of the dominant plant elements in the arid and semi-arid regions. We attempt to decipher the underlying causes of the long-standing disagreement on the correlation between Artemisia pollen and aridity by using the dataset to recognize the different ecological implications of Artemisia pollen types. Our findings improve the resolution of palaeoenvironmental assessment and change the traditional concept of Artemisia being restricted to arid and semi-arid environments.
Altmetrics
Final-revised paper
Preprint