Articles | Volume 21, issue 21
https://doi.org/10.5194/bg-21-4909-2024
https://doi.org/10.5194/bg-21-4909-2024
Research article
 | 
11 Nov 2024
Research article |  | 11 Nov 2024

Crowd-sourced trait data can be used to delimit global biomes

Simon Scheiter, Sophie Wolf, and Teja Kattenborn

Viewed

Total article views: 1,088 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
935 114 39 1,088 73 22 22
  • HTML: 935
  • PDF: 114
  • XML: 39
  • Total: 1,088
  • Supplement: 73
  • BibTeX: 22
  • EndNote: 22
Views and downloads (calculated since 20 Feb 2024)
Cumulative views and downloads (calculated since 20 Feb 2024)

Viewed (geographical distribution)

Total article views: 1,088 (including HTML, PDF, and XML) Thereof 1,109 with geography defined and -21 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Nov 2024
Download
Short summary
Biomes are widely used to map vegetation patterns at large spatial scales and to assess impacts of climate change, yet there is no consensus on a generally valid biome classification scheme. We used crowd-sourced species distribution data and trait data to assess whether trait information is suitable for delimiting biomes. Although the trait data were heterogeneous and had large gaps with respect to the spatial distribution, we found that a global trait-based biome classification was possible.
Altmetrics
Final-revised paper
Preprint