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.
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.
the Creative Commons Attribution 4.0 License.
Research article
| 
11 Nov 2024
Research article |
| 11 Nov 2024
| 11 Nov 2024
Crowd-sourced trait data can be used to delimit global biomes
Simon Scheiter
CORRESPONDING AUTHOR
Senckenberg Biodiversity and Climate Research Centre (SBiK-F), Senckenberganlage 25, 60325 Frankfurt am Main, Germany
Sophie Wolf
Remote Sensing Centre for Earth System Research (RSC4Earth), Leipzig University, Talstr. 35, 04103 Leipzig, Germany
Teja Kattenborn
Sensor-based Geoinformatics (geosense), Faculty of Environment and Natural Resources, University of Freiburg, Tennenbacherstr. 4, 79106 Freiburg, Germany
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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.
Biomes are widely used to map vegetation patterns at large spatial scales and to assess impacts...
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