The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Managing for Interactions between Local and Global Stressors of Ecosystems
Open accessAbstract
Global stressors, including climate change, are a major threat to ecosystems, but they cannot be halted by local actions. Ecosystem management is thus attempting to compensate for the impacts of global stressors by reducing local stressors, such as overfishing. This approach assumes that stressors interact additively or synergistically, whereby the combined effect of two stressors is at least the sum of their isolated effects. It is not clear, however, how management should proceed for antagonistic interactions among stressors, where multiple stressors do not have an additive or greater impact. Research to date has focussed on identifying synergisms among stressors, but antagonisms may be just as common. We examined the effectiveness of management when faced with different types of interactions in two systems--seagrass and fish communities--where the global stressor was climate change but the local stressors were different. When there were synergisms, mitigating local stressors delivered greater gains, whereas when there were antagonisms, management of local stressors was ineffective or even degraded ecosystems. These results suggest that reducing a local stressor can compensate for climate change impacts if there is a synergistic interaction. Conversely, if there is an antagonistic interaction, management of local stressors will have the greatest benefits in areas of refuge from climate change. A balanced research agenda, investigating both antagonistic and synergistic interaction types, is needed to inform management priorities.
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Citations
Cites
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BackgroundThe impacts of climate change in coastal marine systems
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Background
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
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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
Assessing water ecosystem services for water resource management
Grizzetti, B., Lanzanova, D., Liquete, C., Reynaud, A., & Cardoso, A. C. (2016) · Environmental Science & Policy · doi:10.1016/j.envsci.2016.04.008 · Cited by 580
Orr, J. A., Vinebrooke, R. D., Jackson, M. C., Kroeker, K. J., Kordas, R. L., Mantyka-Pringle, C., Van den Brink, P. J., De Laender, F., Stoks, R., Holmstrup, M., et al. (2020) · Proceedings of the Royal Society B: Biological Sciences · doi:10.1098/rspb.2020.0421 · Cited by 423
Metadata
- Authors
- Brown, C. J., Saunders, M. I., Possingham, H. P., & Richardson, A. J.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2013-06-12
- Volume
- 8
- Issue
- 6
- Pages
- e65765
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W1993031695
- Cited by
- 292
- References
- 7
- FWCI
- 72.53
- Type
- journal article
- Language
- en
- Open access
- gold
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- Brown, C. J., Saunders, M. I., Possingham, H. P., & Richardson, A. J. (2013). Managing for Interactions between Local and Global Stressors of Ecosystems. PLoS ONE. https://doi.org/10.1371/journal.pone.0065765
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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.