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

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2024-276', Peter van Bodegom, 02 Apr 2024
  • CC1: 'Comment on egusphere-2024-276', Bianca Rius, 17 Apr 2024
  • RC2: 'Comment on egusphere-2024-276', Bianca Rius, 18 Apr 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Reconsider after major revisions (27 May 2024) by Akihiko Ito
AR by Simon Scheiter on behalf of the Authors (01 Jul 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (16 Jul 2024) by Akihiko Ito
RR by Peter van Bodegom (21 Jul 2024)
RR by Naixin Fan (30 Jul 2024)
ED: Publish subject to minor revisions (review by editor) (12 Aug 2024) by Akihiko Ito
AR by Simon Scheiter on behalf of the Authors (28 Aug 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (04 Sep 2024) by Akihiko Ito
AR by Simon Scheiter on behalf of the Authors (10 Sep 2024)  Manuscript 
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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.
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