The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Identifying the interacting roles of stressors in driving the global loss of canopy‐forming to mat‐forming algae in marine ecosystems
Open accessAbstract
Identifying the type and strength of interactions between local anthropogenic and other stressors can help to set achievable management targets for degraded marine ecosystems and support their resilience by identifying local actions. We undertook a meta‐analysis, using data from 118 studies to test the hypothesis that ongoing global declines in the dominant habitat along temperate rocky coastlines, forests of canopy‐forming algae and/or their replacement by mat‐forming algae are driven by the nonadditive interactions between local anthropogenic stressors that can be addressed through management actions (fishing, heavy metal pollution, nutrient enrichment and high sediment loads) and other stressors (presence of competitors or grazers, removal of canopy algae, limiting or excessive light, low or high salinity, increasing temperature, high wave exposure and high UV or CO2), not as easily amenable to management actions. In general, the cumulative effects of local anthropogenic and other stressors had negative effects on the growth and survival of canopy‐forming algae. Conversely, the growth or survival of mat‐forming algae was either unaffected or significantly enhanced by the same pairs of stressors. Contrary to our predictions, the majority of interactions between stressors were additive. There were however synergistic interactions between nutrient enrichment and heavy metals, the presence of competitors, low light and increasing temperature, leading to amplified negative effects on canopy‐forming algae. There were also synergistic interactions between nutrient enrichment and increasing CO2 and temperature leading to amplified positive effects on mat‐forming algae. Our review of the current literature shows that management of nutrient levels, rather than fishing, heavy metal pollution or high sediment loads, would provide the greatest opportunity for preventing the shift from canopy to mat‐forming algae, particularly in enclosed bays or estuaries because of the higher prevalence of synergistic interactions between nutrient enrichment with other local and global stressors, and as such it should be prioritized.
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Cites
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
Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2009) · doi:10.1002/9780470743386 · Cited by 14,225
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
Imputing missing standard deviations in meta-analyses can provide accurate results
Furukawa, T. A., Barbui, C., Cipriani, A., Brambilla, P., & Watanabe, N. (2006) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2005.06.006 · Cited by 1,568
An extreme climatic event alters marine ecosystem structure in a global biodiversity hotspot
Wernberg, T., Smale, D. A., Tuya, F., Thomsen, M. S., Langlois, T. J., de Bettignies, T., Bennett, S., & Rousseaux, C. S. (2013) · Nature Climate Change · doi:10.1038/nclimate1627 · Cited by 1,304
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
Benedetti-Cecchi, L., Pannacciulli, F., Bulleri, F., Moschella, P., Airoldi, L., Relini, G., & Cinelli, F. (2001) · Marine Ecology Progress Series · doi:10.3354/meps214137 · Cited by 405
Self-citationThibaut, T., Pinedo, S., Torras, X., & Ballesteros, E. (2005) · Marine Pollution Bulletin · doi:10.1016/j.marpolbul.2005.06.014 · Cited by 350
Pedersen, M., & Borum, J. (1997) · Marine Ecology Progress Series · doi:10.3354/meps161155 · Cited by 341
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
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Global patterns of kelp forest change over the past half-century.
Krumhansl, K. A., Okamoto, D. K., Rassweiler, A., Novak, M., Bolton, J. J., Cavanaugh, K. C., Connell, S. D., Johnson, C. R., Konar, B., Ling, S. D., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1606102113 · Cited by 785
Self-citationReconceptualizing 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
Status, trends and drivers of kelp forests in Europe: an expert assessment.
Araújo, R. M., Assis, J., Aguillar, R., Airoldi, L., Bárbara, I., Bartsch, I., Bekkby, T., Christie, H., Davoult, D., Derrien-Courtel, S., et al. (2016) · Biodiversity and Conservation · doi:10.1007/s10531-016-1141-7 · Cited by 143
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Metadata
- Authors
- Strain, E. M. A., Thomson, R. J., Micheli, F., Mancuso, F. P., & Airoldi, L.
- Venue
- Global Change Biology
- Publisher
- Wiley
- Published
- 2014-06-04
- Volume
- 20
- Issue
- 11
- Pages
- 3300-3312
- ISSN
- 1354-1013 (ISSN-L)
- 1365-2486
- OpenAlex
- W2132409835
- Cited by
- 253
- References
- 11
- FWCI
- 12.82
- Type
- journal article
- Language
- en
- Open access
- bronze
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