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Oecologia

, Volume 186, Issue 3, pp 719–729 | Cite as

Species’ traits do not converge on optimum values in preferred habitats

  • Rachel M. MitchellEmail author
  • Justin P. Wright
  • Greg M. Ames
Community ecology – original research

Abstract

Plant trait expression is shaped by filters, which can alter trait means and variances, theoretically driving species toward an “optimum” trait value for a set of environmental conditions. Recent research has highlighted the ubiquity of intraspecific variation in functional traits, which can cause plants to diverge from a hypothesized “optimum”. We examined whether species occurring in “core” habitats (where they occur frequently, abundantly, and consistently) express traits that are nearer to “optimum”, as captured by the community-weighted mean (CWM). We also asked whether trait variance showed signs of environmental filtering. We used cluster analysis to group plots based on environmental factors along a wet-to-dry ecotone. We used indicator species analysis to identify species with strong associations within each cluster. Trait means and variances were compared, and evidence of variance filtering was tested using a null-model approach. Trait means and trait variances respond to local-scale environmental filtering and species in core habitats were not necessarily nearer to the CWM than in other habitats. Intraspecific trait variability shows a strong signal of filtering, as variability was reduced for nearly all species and all traits compared to estimates of variability generated in the absence of environmental filtering. Our results provide strong evidence that species traits are not necessarily near “optimum” trait values in core habitats, and that trait distributions within species are strongly shaped by the environment. Future analyses should account for this divergence when calculating metrics of functional diversity, and extrapolating to ecosystem function.

Keywords

Filtering Functional traits Intraspecific variation LDMC SLA 

Notes

Acknowledgements

The authors thank the NSF (DBI-1401800), U.S. Army Engineer Research Development Center, Construction Engineering Research Laboratory (ERDC-CERL) for funding for this project (cooperative agreement W9132T-11-2-0008); Janet Gray from the Fort Bragg Endangered Species Branch and Matthew Hohmann from ERDC-CERL for logistical support; Western Ag for eluting the PRS probes, and Steven Anderson for his hard work on this project.

Author contribution statement

RMM formulated the idea, conducted the analyses, and wrote the manuscript. JPW conceived of the experiment, contributed to idea development, and edited the manuscript. GMA collected the data.

Supplementary material

442_2017_4041_MOESM1_ESM.docx (237 kb)
Supplementary material 1 (DOCX 237 kb)

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2017

Authors and Affiliations

  1. 1.Department of BiologyDuke UniversityDurhamUSA
  2. 2.School of Earth Sciences and Environmental SustainabilityNorthern Arizona UniversityFlagstaffUSA

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