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Cited by 614

The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.

The unprecedented 2015/16 Tasman Sea marine heatwave

Open access
Oliver, Eric C. J., Benthuysen, Jessica A., Bindoff, Nathaniel L., Hobday, Alistair J., Holbrook, Neil J., Mundy, Craig N., Perkins-Kirkpatrick, Sarah E.·2017·Nature Communications

Abstract

The Tasman Sea off southeast Australia exhibited its longest and most intense marine heatwave ever recorded in 2015/16. Here we report on several inter-related aspects of this event: observed characteristics, physical drivers, ecological impacts and the role of climate change. This marine heatwave lasted for 251 days reaching a maximum intensity of 2.9 °C above climatology. The anomalous warming is dominated by anomalous convergence of heat linked to the southward flowing East Australian Current. Ecosystem impacts range from new disease outbreaks in farmed shellfish, mortality of wild molluscs and out-of-range species observations. Global climate models indicate it is very likely to be that the occurrence of an extreme warming event of this duration or intensity in this region is respectively ≥330 times and ≥6.8 times as likely to be due to the influence of anthropogenic climate change. Climate projections indicate that event likelihoods will increase in the future, due to increasing anthropogenic influences.

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Crossref · 10.1038/ncomms16101

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Metadata

Authors
Oliver, E. C. J., Benthuysen, J. A., Bindoff, N. L., Hobday, A. J., Holbrook, N. J., Mundy, C. N., & Perkins-Kirkpatrick, S. E.
Venue
Nature Communications
Published
2017-07-14
Volume
8
Issue
1
Pages
16101-16101
ISSN
2041-1723 (ISSN-L)
OpenAlex
W2735759243
Cited by
614
References
55
FWCI
22.86
Type
journal article
Language
en
Open access
gold

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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.