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Interactive effects of multiple stressors vary with consumer interactions, stressor dynamics and magnitude
  • +11
  • Mischa Turschwell,
  • Roman Ashauer,
  • Max Campbell,
  • Rod Connolly,
  • Sean Connolly,
  • Isabelle Cote,
  • Frederik De Laender,
  • Michelle Jackson,
  • Mira Kattwinkel,
  • Chrystal Mantyka-Pringle,
  • Ralf Schaefer,
  • Michael Sievers,
  • Paul Van den Brink,
  • Chris Brown
Mischa Turschwell
Griffith University

Corresponding Author:[email protected]

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Roman Ashauer
University of York
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Max Campbell
Griffith University
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Rod Connolly
Griffith University
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Sean Connolly
Smithsonian Tropical Research Institute
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Isabelle Cote
Simon Fraser University
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Frederik De Laender
Namur University
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Michelle Jackson
Oxford University
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Mira Kattwinkel
University Koblenz - Landau
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Chrystal Mantyka-Pringle
Wildlife Conservation Society Canada
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Ralf Schaefer
University of Koblenz Landau - Campus Landau
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Michael Sievers
Griffith University - GC Campus
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Paul Van den Brink
Wageningen University
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Chris Brown
Griffith University
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Abstract

Predicting the impacts of multiple stressors is important for informing ecosystem management, but is impeded by a lack of a general framework for predicting whether stressors interact synergistically, additively, or antagonistically. Here we use process-based models to study how interactions generalise across three levels of bio-logical organisation (physiological, population, and community) for a simulated two-stressor experiment on a seagrass model system. We found that the same underlying processes could result in synergistic, additive or antagonistic interactions, with interaction type depending on initial conditions, experiment duration, stressor dynamics, and consumer presence. Our results help explain why meta-analyses of multiple stressor experimental results have struggled to identify predictors of consistently non-additive interactions in the natural environment. Experiments run over longer temporal scales, with treatments across gradients of stressor magnitude, are needed to identify the processes that underpin how stressors interact and provide useful predictions to management.
30 Nov 2021Submitted to Ecology Letters
01 Dec 2021Submission Checks Completed
01 Dec 2021Assigned to Editor
09 Dec 2021Reviewer(s) Assigned
22 Dec 2021Review(s) Completed, Editorial Evaluation Pending
24 Jan 2022Editorial Decision: Revise Major
04 Mar 20221st Revision Received
07 Mar 2022Submission Checks Completed
07 Mar 2022Assigned to Editor
08 Mar 2022Reviewer(s) Assigned
30 Mar 2022Review(s) Completed, Editorial Evaluation Pending
31 Mar 2022Editorial Decision: Revise Minor
04 Apr 20222nd Revision Received
04 Apr 2022Submission Checks Completed
04 Apr 2022Assigned to Editor
04 Apr 2022Review(s) Completed, Editorial Evaluation Pending
04 Apr 2022Editorial Decision: Accept