The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Evidence for multiple stressor interactions and effects on coral reefs
Abstract
Concern is growing about the potential effects of interacting multiple stressors, especially as the global climate changes. We provide a comprehensive review of multiple stressor interactions in coral reef ecosystems, which are widely considered to be one of the most sensitive ecosystems to global change. First, we synthesized coral reef studies that examined interactions of two or more stressors, highlighting stressor interactions (where one stressor directly influences another) and potentially synergistic effects on response variables (where two stressors interact to produce an effect that is greater than purely additive). For stressor‐stressor interactions, we found 176 studies that examined at least 2 of the 13 stressors of interest. Applying network analysis to analyze relationships between stressors, we found that pathogens were exacerbated by more costressors than any other stressor, with ca. 78% of studies reporting an enhancing effect by another stressor. Sedimentation, storms, and water temperature directly affected the largest number of other stressors. Pathogens, nutrients, and crown‐of‐thorns starfish were the most‐influenced stressors. We found 187 studies that examined the effects of two or more stressors on a third dependent variable. The interaction of irradiance and temperature on corals has been the subject of more research (62 studies, 33% of the total) than any other combination of stressors, with many studies reporting a synergistic effect on coral symbiont photosynthetic performance (n = 19). Second, we performed a quantitative meta‐analysis of existing literature on this most‐studied interaction (irradiance and temperature). We found that the mean effect size of combined treatments was statistically indistinguishable from a purely additive interaction, although it should be noted that the sample size was relatively small (n = 26). Overall, although in aggregate a large body of literature examines stressor effects on coral reefs and coral organisms, considerable gaps remain for numerous stressor interactions and effects, and insufficient quantitative evidence exists to suggest that the prevailing type of stressor interaction is synergistic.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Quantifying heterogeneity in a meta‐analysis
Higgins, J. P. T., & Thompson, S. G. (2002) · Statistics in Medicine · doi:10.1002/sim.1186 · Cited by 36,763
Conducting Meta-Analyses in R with the metafor Package
Viechtbauer, W. (2010) · Journal of Statistical Software · doi:10.18637/jss.v036.i03 · Cited by 20,464
Ecological responses to recent climate change.
Walther, G.-R., Post, E., Convey, P., Menzel, A., Parmesan, C., Beebee, T. J. C., Fromentin, J.-M., Hoegh-Guldberg, O., & Bairlein, F. (2002) · Nature · doi:10.1038/416389a · Cited by 9,975
Distribution Theory for Glass's Estimator of Effect Size and Related Estimators
Hedges, L. V. (1981) · Journal of Educational Statistics · doi:10.2307/1164588 · Cited by 5,695
Ocean acidification causes bleaching and productivity loss in coral reef builders
Anthony, K. R. N., Kline, D. I., Diaz-Pulido, G., Dove, S., & Hoegh-Guldberg, O. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0804478105 · Cited by 1,240
Quantifying the evidence for ecological synergies
Darling, E. S., & Côté, I. M. (2008) · Ecology Letters · doi:10.1111/j.1461-0248.2008.01243.x · Cited by 723
RUSSELL, B. D., THOMPSON, J. I., FALKENBERG, L. J., & CONNELL, S. D. (2009) · Global Change Biology · doi:10.1111/j.1365-2486.2009.01886.x · Cited by 281
Effects of ultraviolet radiation on corals and other coral reef organisms
SHICK, J. M., LESSER, M. P., & JOKIEL, P. L. (1996) · Global Change Biology · doi:10.1111/j.1365-2486.1996.tb00065.x · Cited by 251
Dunne, R., & Brown, B. (1996) · Marine Ecology Progress Series · doi:10.3354/meps144109 · Cited by 105
Cited by
Net effects of multiple stressors in freshwater ecosystems: a meta‐analysis
Jackson, M. C., Loewen, C. J. G., Vinebrooke, R. D., & Chimimba, C. T. (2016) · Global Change Biology · doi:10.1111/gcb.13028 · Cited by 854
Reconceptualizing synergism and antagonism among multiple stressors
Piggott, J. J., Townsend, C. R., & Matthaei, C. D. (2015) · Ecology and Evolution · doi:10.1002/ece3.1465 · Cited by 678
Regime shifts in the anthropocene: drivers, risks, and resilience
Rocha, J. C., Peterson, G. D., & Biggs, R. (2015) · PLOS ONE · doi:10.1371/journal.pone.0134639 · Cited by 181
Tickler, D. M., Letessier, T. B., Koldewey, H. J., & Meeuwig, J. J. (2017) · PLOS ONE · doi:10.1371/journal.pone.0177374 · Cited by 46
A review of computational intelligence techniques in coral reef-related applications
Salcedo-Sanz, S., Cuadra, L., & Vermeij, M. J. A. (2016) · Ecological Informatics · doi:10.1016/j.ecoinf.2016.01.008 · Cited by 27
Metadata
- Authors
- Ban, S. S., Graham, N. A. J., & Connolly, S. R.
- Venue
- Global Change Biology
- Publisher
- Wiley
- Published
- 2014-01-12
- Volume
- 20
- Issue
- 3
- Pages
- 681-697
- ISSN
- 1354-1013 (ISSN-L)
- 1365-2486
- OpenAlex
- W2097038941
- Cited by
- 388
- References
- 9
- FWCI
- 23.89
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Evidence for multiple stressor interactions and effects on coral reefs. https://app.cochat.ai/papers/10.1111/gcb.12453
- The paper
- Ban, S. S., Graham, N. A. J., & Connolly, S. R. (2014). Evidence for multiple stressor interactions and effects on coral reefs. Global Change Biology. https://doi.org/10.1111/gcb.12453
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.