Articles | Volume 13, issue 5
https://doi.org/10.5194/essd-13-2001-2021
https://doi.org/10.5194/essd-13-2001-2021
Data description paper
 | 
11 May 2021
Data description paper |  | 11 May 2021

Development of the global dataset of Wetland Area and Dynamics for Methane Modeling (WAD2M)

Zhen Zhang, Etienne Fluet-Chouinard, Katherine Jensen, Kyle McDonald, Gustaf Hugelius, Thomas Gumbricht, Mark Carroll, Catherine Prigent, Annett Bartsch, and Benjamin Poulter

Viewed

Total article views: 6,825 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
4,714 2,006 105 6,825 109 144
  • HTML: 4,714
  • PDF: 2,006
  • XML: 105
  • Total: 6,825
  • BibTeX: 109
  • EndNote: 144
Views and downloads (calculated since 22 Dec 2020)
Cumulative views and downloads (calculated since 22 Dec 2020)

Viewed (geographical distribution)

Total article views: 6,825 (including HTML, PDF, and XML) Thereof 6,377 with geography defined and 448 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 22 Feb 2025
Download
Short summary
The spatiotemporal distribution of wetlands is one of the important and yet uncertain factors determining the time and locations of methane fluxes. The Wetland Area and Dynamics for Methane Modeling (WAD2M) dataset describes the global data product used to quantify the areal dynamics of natural wetlands and how global wetlands are changing in response to climate.
Share
Altmetrics
Final-revised paper
Preprint