Mapping local and global variability in plant trait distributions
- Submitting institution
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Kingston University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 12-013-1569
- Type
- D - Journal article
- DOI
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10.1073/pnas.1708984114
- Title of journal
- Proceedings of the National Academy of Sciences of the United States of America
- Article number
- -
- First page
- E10937
- Volume
- 114
- Issue
- -
- ISSN
- 0027-8424
- Open access status
- Access exception
- Month of publication
- -
- Year of publication
- 2017
- URL
-
-
- Supplementary information
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- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
-
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The paper developed a novel method for upscaling multiple plant functional traits from local-scales to landscape -and- global-scales, while still preserving the representative local trait variation at global scales. This is significant because previous attempts to map plant traits across the globe were only able to do so by preserving a single mean trait, not the full distribution (variability) of functional traits, nor the possibility of doing the same for multiple functional traits. The method allows improved representation of plant life in Earth System Models.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -