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  Variation in trait trade-offs allows differentiation among predefined plant functional types: implications for predictive ecology

Verheijen, L. M., Aerts, R., Boenisch, G., Kattge, J., & Bodegom, P. M. V. (2016). Variation in trait trade-offs allows differentiation among predefined plant functional types: implications for predictive ecology. New Phytologist, 209(2), 563-575. doi:10.1111/nph.13623.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0028-5284-8 Version Permalink: https://hdl.handle.net/21.11116/0000-000E-A7DA-0
Genre: Journal Article

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https://doi.org/10.1111/nph.13623 (Publisher version)
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 Creators:
Verheijen, Lieneke M., Author
Aerts, Rien, Author
Boenisch, Gerhard1, Author           
Kattge, Jens1, Author           
Bodegom, Peter M. Van, Author
Affiliations:
1Interdepartmental Max Planck Fellow Group Functional Biogeography, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1938314              

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 Abstract: We examined to what extent plant traits, which reflect species’ functional adaptations, can capture functional differences between predefined PFTs and
which traits optimally describe these differences.
We applied Gaussian kernel density estimation to determine probability density functions
for individual PFTs in an n-dimensional trait space and compared predicted PFTs with
observed PFTs. All possible combinations of 1–6 traits from a database with 18 different traits
(total of 18 287 species) were tested.
A variety of trait sets had approximately similar performance, and 4–5 traits were sufficient
to classify up to 85% of the species into PFTs correctly, whereas this was 80% for a bioclimatically
defined tree PFT classification. Well-performing trait sets included combinations of correlated
traits that are considered functionally redundant within a single plant strategy.
This analysis quantitatively demonstrates how structural differences between PFTs are
reflected in functional differences described by particular traits. Differentiation between PFTs
is possible despite large overlap in plant strategies and traits, showing that PFTs are differently
positioned in multidimensional trait space. This study therefore provides the foundation for important applications for predictive ecology.

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 Dates: 20152015-09-092016
 Publication Status: Issued
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 Identifiers: Other: BGC2309
DOI: 10.1111/nph.13623
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Title: New Phytologist
  Other : New Phytol.
Source Genre: Journal
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Publ. Info: London : Academic Press.
Pages: - Volume / Issue: 209 (2) Sequence Number: - Start / End Page: 563 - 575 Identifier: ISSN: 0028-646X
CoNE: https://pure.mpg.de/cone/journals/resource/954925334695