3.9 Article

An environmental stress model correctly predicts unimodal trends in overall species richness and diversity along intertidal elevation gradients

Journal

HELGOLAND MARINE RESEARCH
Volume 67, Issue 4, Pages 663-674

Publisher

SPRINGER
DOI: 10.1007/s10152-013-0352-5

Keywords

Diversity; Environmental stress; Richness; Rocky intertidal

Funding

  1. Biologische Anstalt Helgoland (Alfred Wegener Institute for Polar and Marine Research, AWI)
  2. Canada Research Chairs (CRC) program
  3. Natural Sciences and Engineering Research Council (NSERC)
  4. Canada Foundation for Innovation (CFI)

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Environmental stress is a major factor structuring communities. An environmental stress model (ESM) predicts that overall species richness and diversity should follow a unimodal trend along the full stress gradient along which assemblages from a regional biota can occur (not to be confused with the intermediate disturbance hypothesis, which makes predictions only for basal species along an intermediate-to-high stress range). Past studies could only provide partial support for ESM predictions because of the limited stress range surveyed or a low sampling resolution. In this study, we measured overall species richness and diversity (considering all seaweeds and invertebrates) along the intertidal elevation gradient on two wave-sheltered rocky shores from Helgoland Island, on the NE Atlantic coast. In intertidal habitats, tides cause a pronounced gradient of increasing stress from low to high elevations. We surveyed up to nine contiguous elevation zones between the lowest intertidal elevation (low stress) and the high intertidal boundary (high stress). Nonlinear regression analyses revealed that overall species richness and diversity followed unimodal trends across elevations on the two studied shores. Therefore, our study suggests that the ESM might constitute a useful tool to predict local richness and diversity as a function of environmental stress. Performing tests on other systems (marine as well as terrestrial) should help to refine the model.

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