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Marine Biology

, Volume 151, Issue 6, pp 2109–2118 | Cite as

Seasonal variation in movement, aggregation and destructive grazing of the green sea urchin (Strongylocentrotus droebachiensis) in relation to wave action and sea temperature

  • Jean-Sébastien Lauzon-Guay
  • Robert E. Scheibling
Research Article

Abstract

Hydrodynamic forces are an important determinant of subtidal community structure, particularly when they limit the distribution and foraging ability of mobile consumers. We examined the effect of wave action on the rate of movement and destructive grazing of a kelp bed by the green sea urchin (Strongylocentrotus droebachiensis) under field conditions. We measured density and rate of advance at fixed intervals along ∼100 m of a grazing front over 1 year, and quantified individual movement rates in the barrens 5–10 m behind the urchin front using a time-lapse videography. Seasonal variation in the mean rate of advance of the front (range: 0–4 m month−1) was explained by changes in urchin density at the front (120–360 individuals m−2), which in turn varied inversely with significant wave height (0.5–2 m). Water temperature (0.8–17.6°C) had no effect on the rate of advance or on urchin density (aggregation) at the front, except when temperature exceeded 17°C. Movement of individual urchins also was affected by wave action: we observed a significant decrease in speed and displacement of urchins with increasing significant wave height. Wave action had no effect on the proportion of urchins moving or the degree of linearity of their movements. We propose that the decrease in urchin density at the front associated with increased wave action, results from de-aggregation, which reduces the risk of dislodgement, combined with a reduction in urchin movement in barrens, which supplies new urchins to the front.

Keywords

Video Sequence Significant Wave Height Front Advance Urchin Density Strongylocentrotus Droebachiensis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

We are indebted to J. Lindley for is invaluable assistance with fieldwork. We also thank D. Lyons, M. Saunders, P. Gagnon, D. Knip, A. Schmidt, and Dr. A. Pinder for diving assistance. We are grateful to Dr. M. Barbeau for providing the underwater video camera. The research was funded by a Discovery Grant from the Natural Sciences and Engineering Research Council of Canada (NSERC) to RES. J-SL-G was supported by scholarships from Fonds Québécois de la Recherche sur la Nature et les Technologies and NSERC.

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Copyright information

© Springer-Verlag 2007

Authors and Affiliations

  • Jean-Sébastien Lauzon-Guay
    • 1
    • 2
  • Robert E. Scheibling
    • 2
  1. 1.Biology DepartmentUniversity of New BrunswickFrederictonCanada
  2. 2.Department of BiologyDalhousie UniversityHalifaxCanada

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