Meta-analysis of three-stressor combinations on population-level fitness reveal substantial higher-order interactions
- PMID: 36572303
- DOI: 10.1016/j.scitotenv.2022.161163
Meta-analysis of three-stressor combinations on population-level fitness reveal substantial higher-order interactions
Abstract
Although natural populations are typically subjected to multiple stressors, most past research has focused on single-stressor and two-stressor interactions, with little attention paid to higher-order interactions among three or more stressors. However, higher-order interactions increasingly appear to be widespread. Consequently, we used a recently introduced and improved framework to re-analyze higher-order ecological interactions. We conducted a literature review of the last 100 years (1920-2020) and reanalyzed 142 ecological three-stressor interactions on species' populations from 38 published papers; the vast majority of these studies were from the past 10 years. We found that 95.8 % (n = 136) of the three-stressor combinations had either not been categorized before or resulted in different interactions than previously reported. We also found substantial levels of emergent properties-interactions that are not due to strong pairwise interactions within the combination but rather uniquely due to all three stressors being combined. Calculating net interactions-the overall accounting for all possible interactions within a combination including the emergent and all pairwise interactions-we found that the most prevalent interaction type is antagonism, corresponding to a smaller than expected effect based on single stressor effects. In contrast, for emergent interactions, the most prevalent interaction type is synergistic, resulting in a larger than expected effect based on single stressor effects. Additionally, we found that hidden suppressive interactions-where a pairwise interaction is suppressed by a third stressor-are found in the majority of combinations (74 %). Collectively, understanding multiple stressor interactions through applying an appropriate framework is crucial for answering fundamental questions in ecology and has implications for conservation biology and population management. Crucially, identifying emergent properties can reveal hidden suppressive interactions that could be particularly important for the ecological management of at-risk populations.
Keywords: Additivity; Antagonism; Environmental stressors; Multiple stressors; Synergy.
Copyright © 2022 The Authors. Published by Elsevier B.V. All rights reserved.
Conflict of interest statement
Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Similar articles
-
Using a newly introduced framework to measure ecological stressor interactions.Ecol Lett. 2020 Sep;23(9):1391-1403. doi: 10.1111/ele.13533. Epub 2020 Jul 5. Ecol Lett. 2020. PMID: 32627356 Review.
-
Uncovering emergent interactions in three-way combinations of stressors.J R Soc Interface. 2016 Dec;13(125):20160800. doi: 10.1098/rsif.2016.0800. J R Soc Interface. 2016. PMID: 27974577 Free PMC article.
-
Untangling the effects of multiple human stressors and their impacts on fish assemblages in European running waters.Sci Total Environ. 2016 Dec 15;573:1079-1088. doi: 10.1016/j.scitotenv.2016.08.143. Epub 2016 Sep 13. Sci Total Environ. 2016. PMID: 27632785
-
Evidence for multiple stressor interactions and effects on coral reefs.Glob Chang Biol. 2014 Mar;20(3):681-97. doi: 10.1111/gcb.12453. Glob Chang Biol. 2014. PMID: 24166756 Review.
-
Spatiotemporal dynamics drive synergism of land use and climatic extreme events in insect meta-populations.Sci Total Environ. 2022 Mar 25;814:152602. doi: 10.1016/j.scitotenv.2021.152602. Epub 2021 Dec 24. Sci Total Environ. 2022. PMID: 34958839
Cited by
-
High-throughput characterization of bacterial responses to complex mixtures of chemical pollutants.Nat Microbiol. 2024 Apr;9(4):938-948. doi: 10.1038/s41564-024-01626-9. Epub 2024 Mar 18. Nat Microbiol. 2024. PMID: 38499812 Free PMC article.
-
Interactions within higher-order antibiotic combinations do not influence the rate of adaptation in bacteria.Evolution. 2025 May 14;79(5):875-882. doi: 10.1093/evolut/qpaf023. Evolution. 2025. PMID: 39918979 Free PMC article.
-
Hypothesis-Driven Research on Multiple Stressors: An Analytical Framework for Stressor Interactions.Ecol Evol. 2025 Aug 12;15(8):e71959. doi: 10.1002/ece3.71959. eCollection 2025 Aug. Ecol Evol. 2025. PMID: 40800165 Free PMC article.
LinkOut - more resources
Full Text Sources
Miscellaneous