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  Predicting habitat affinities of plant species using commonly measured functional traits

Shipley, B., Belluau, M., Kühn, I., Soudzilovskaia, N. A., Bahn, M., Penuelas, J., et al. (2017). Predicting habitat affinities of plant species using commonly measured functional traits. Journal of Vegetation Science, 8(5), 1082-1095. doi:10.1111/jvs.12554.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-002D-C09D-2 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-002D-D930-7
Genre: Journal Article

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BGC2672s1.pdf (Supplementary material), 261KB
 
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 Creators:
Shipley, B., Author
Belluau, M., Author
Kühn, I., Author
Soudzilovskaia, N. A., Author
Bahn, M., Author
Penuelas, J., Author
Kattge, Jens1, Author              
Sack, L., Author
Cavender-Bares, J., Author
Ozinga, W. A., Author
Blonder, B., Author
van Bodegom, P. M., Author
Manning, P., Author
Hickler, T., Author
Sosinski, E., Author
Pillar, V. D. P., Author
Onipchenko, V., Author
Poschlod, P., Author
Affiliations:
1Interdepartmental Max Planck Fellow Group Functional Biogeography, Max Planck Institute for Biogeochemistry, Max Planck Society, ou_1938314              

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 Abstract: Questions: Heinz Ellenberg classically defined “indicator” scores for species representing their typical positions along gradients of key environmental variables, and these have proven very useful for designating ecological distributions. We tested a key tenent of trait-based ecology, i.e. the ability to predict ecological preferences fromspecies’ traits. More specifically, can we predict Ellenberg indicator scores for soil nutrients, soil moisture and irradiance from four well-studied traits: leaf area, leaf dry matter content, specific leaf area (SLA) and seed mass? Can we use such relationships to estimate Ellenberg scores for species never classified by Ellenberg? Location: Global. Methods: Cumulative link models were developed to predict Ellenberg nutrients, irradiance and moisture values from Ln-transformed trait values using 922, 981 and 988 species, respectively.We then independently tested these prediction equations using the trait values of 423 and 421 new species that occurred elsewere in Europe, North America and Morocco, and whose habitat affinities we could classify from independent sources as three-level ordinal ranks related to soilmoisture and irradiance. The traits were SLA, leaf dry matter content, leaf area and seedmass. Results: The four functional traits predicted the Ellenberg indicator scores of site fertility, light and moisture with average error rates of <2 Ellenberg ranks out of nine. We then used the trait values of 423 and 421 species, respectively, that occurred (mostly) outside of Germany butwhose habitat affinities we could classify as three-level ordinal ranks related to soil moisture and irradiance. The predicted positions of the new species, given the equations derived from the Ellenberg indices, agreed well with their independent habitat classifications, although our equation for Ellenberg irrandiance levels performed poorly on the lower ranks. Conclusions: These prediction equations, and their eventual extensions, could be used to provide approximate descriptions of habitat affinities of large numbers of speciesworldwide.

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 Dates: 2017-04-272017-07-142017-09
 Publication Status: Published in print
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 Identifiers: Other: BGC2672
DOI: 10.1111/jvs.12554
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Title: Journal of Vegetation Science
Source Genre: Journal
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Publ. Info: Uppsala, Sweden : Opulus Press
Pages: - Volume / Issue: 8 (5) Sequence Number: - Start / End Page: 1082 - 1095 Identifier: ISSN: 1100-9233
CoNE: /journals/resource/954925610940