Data from: Consistent trait-environment relationships within and across tundra plant communities
Creators
- 1. University of Helsinki
- 2. University of Pretoria
- 3. Finnish Meteorological Institute
- 4. University of Arizona
- 5. University of Bergen
Description
A fundamental assumption in trait-based ecology is that relationships between traits and environmental conditions are globally consistent. We use field-quantified microclimate and soil data to explore if trait-environment relationships are generalisable across plant communities and spatial scales. We collected data from 6720 plots and 217 species across four distinct tundra regions from both hemispheres. We combine this data with over 76000 database trait records to relate local plant community trait composition to broad gradients of key environmental drivers: soil moisture, soil temperature, soil pH, and potential solar radiation. Results revealed strong, consistent trait-environment relationships across Arctic and Antarctic regions. This indicates that the detected relationships are transferable between tundra plant communities also when fine-scale environmental heterogeneity is accounted for, and that variation in local conditions heavily influences both structural and leaf economic traits. Our results strengthen the biological and mechanistic basis for climate change impact predictions of vulnerable high-latitude ecosystems.
Kemppinen, Niittynen, le Roux, Momberg, Happonen, Aalto, Rautakoski, Enquist, Vandvik, Halbritter, Maitner & Luoto (2021). Consistent trait-environment relationships within and across tundra plant communities. Nature Ecology and Evolution
These are the data and codes from Kemppinen et al. (2021).
Notes
Files
Kemppinen et al. 2020. Metadata.txt
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Additional details
Related works
- Is documented by
- Journal article: 10.1038/s41559-021-01396-1 (DOI)
Funding
- Topoclimate, land surface conditions and atmospheric feedbacks 307761
- Academy of Finland
- Geomorphic sensitivity of the Arctic region: geohazards and infrastructure (INFRAHAZARD) / Consortium: INFRAHAZARD 286950
- Academy of Finland