Interactive effects of multiple stressors vary with consumer interactions, stressor dynamics and magnitude
Turschwell, Mischa P., Connolly, Sean R., Schäfer, Ralf B., De Laender, Frederik, Campbell, Max D., Mantyka-Pringle, Chrystal, Jackson, Michelle C., Kattwinkel, Mira, Sievers, Michael, Ashauer, Roman, Côté, Isabelle M., Connolly, Rod M., van den Brink, Paul J., and Brown, Christopher J. (2022) Interactive effects of multiple stressors vary with consumer interactions, stressor dynamics and magnitude. Ecology Letters, 25 (6). pp. 1483-1496.
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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 biological organisation (physiological, population and consumer-resource) for a 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 extended 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.
Item ID: | 74288 |
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Item Type: | Article (Research - C1) |
ISSN: | 1461-0248 |
Keywords: | antagonism, consumer-resource, seagrass, stressor interactions, synergy |
Copyright Information: | © 2022 The Authors. Ecology Letters published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
Funders: | Australian Research Council (ARC) |
Projects and Grants: | ARC FT210100792, ARC DP180103124 |
Research Data: | https://doi.org/10.5281/zenodo.6419933 |
Date Deposited: | 25 May 2022 07:33 |
FoR Codes: | 41 ENVIRONMENTAL SCIENCES > 4104 Environmental management > 410404 Environmental management @ 60% 31 BIOLOGICAL SCIENCES > 3103 Ecology > 310305 Marine and estuarine ecology (incl. marine ichthyology) @ 40% |
SEO Codes: | 18 ENVIRONMENTAL MANAGEMENT > 1899 Other environmental management > 189999 Other environmental management not elsewhere classified @ 100% |
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