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Ecosystems

pp 1–13 | Cite as

Community Trait Distribution Across Environmental Gradients

  • Kasia M. Kenitz
  • Andre W. Visser
  • Mark D. Ohman
  • Michael R. Landry
  • Ken H. Andersen
Article
  • 155 Downloads

Abstract

Variability in community composition is often attributed to underlying differences in physical environments. However, predator–prey interactions can play an equally important role in structuring communities. Although environmental differences select for different species assemblages, less is known about their impacts on trait compositions. We develop a trait-based analysis of plankton communities of the southern California Current System across multiple trophic levels, from bacteria to mesozooplankton, and over a gradient of environmental conditions, from the oligotrophic open ocean to coastal upwelling. Across a factor of four differences in total community biomass, we observe similarities in the size structure along the environmental gradient, with the most pronounced departures from proportional variations in the biomasses found in the largest protists (> 40 µm). Differences in the trait distributions emerge within a small range of size groups: greater biomass contribution of larger autotrophs (> 10 µm) is observed only for the upwelling region.

Keywords

Activity traits California current community structure feeding mode multi-trophic interactions plankton resource acquisition size distribution upwelling 

Notes

Acknowledgments

Data and participation from CCE-LTER were supported by US National Science Foundation Grants OCE-04-17616 and OCE-10-26607. This work was supported by the Centre for Ocean Life, a VKR Centre of excellence funded by the Villum Foundation, and the Gordon and Betty Moore Foundation (#5479). The authors thank Philipp Brun for his assistance and guidance during the application of the statistical analysis and Thomas Kiørboe and Martin Lindegren for insightful discussions during concept development. The authors would also like to acknowledge Emma Tovar for her continued efforts in conducting the ZooScan analysis for the CCE-LTER programme.

Supplementary material

10021_2018_314_MOESM1_ESM.docx (13 kb)
Supplementary material 1 (DOCX 12 kb)
10021_2018_314_MOESM2_ESM.pdf (947 kb)
Supplementary material 2 (PDF 947 kb)

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Centre for Ocean LifeDTU AquaKgs. LyngbyDenmark
  2. 2.Scripps Institution of OceanographyLa JollaUSA

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