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

Scheiter, Simon; Wolf, Sophie; Kattenborn, Teja

doi:https://doi.org/10.5194/bg-21-4909-2024

Articles | Volume 21, issue 21

https://doi.org/10.5194/bg-21-4909-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/bg-21-4909-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 21, issue 21

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

Supplement

https://doi.org/10.5194/bg-21-4909-2024-supplement

Data sets

Global trait maps derived from crowd-sourced data (GBIF) (v.0.6) Teja Kattenborn et al. https://doi.org/10.5281/zenodo.10617814

WorldClim 2: new 1km spatial resolution climate surfaces for global land areas (https://www.worldclim.org/data/worldclim21.html) S. E. Fick and R. J. Hijmans https://doi.org/10.1002/joc.5086

The biome inventory - standardizing global biogeographical land units J.-C. Fischer et al. https://doi.org/10.5061/dryad.hqbzkh1jm

Crowd-sourced trait data can be used to delimit global biomes Simon Scheiter et al. https://doi.org/10.5281/zenodo.10526277

Model code and software

r-barnes/dggridR: v3.0.0 Richard Barnes et al. https://doi.org/10.5281/zenodo.7565922

Download

Article (4829 KB)
Full-text XML

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.