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The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Threat of plastic pollution to seabirds is global, pervasive, and increasing

Open access
Wilcox, Chris, Van Sebille, Erik, Hardesty, Britta Denise·2015·Proceedings of the National Academy of Sciences

Abstract

Significance: Plastic pollution in the ocean is a rapidly emerging global environmental concern, with high concentrations (up to 580,000 pieces per km 2) and a global distribution, driven by exponentially increasing production. Seabirds are particularly vulnerable to this type of pollution and are widely observed to ingest floating plastic. We used a mixture of literature surveys, oceanographic modeling, and ecological models to predict the risk of plastic ingestion to 186 seabird species globally. Impacts are greatest at the southern boundary of the Indian, Pacific, and Atlantic Oceans, a region thought to be relatively pristine. Although evidence of population level impacts from plastic pollution is still emerging, our results suggest that this threat is geographically widespread, pervasive, and rapidly increasing.

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Registry

Crossref · 10.1073/pnas.1502108112

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Metadata

Authors
Wilcox, C., Van Sebille, E., & Hardesty, B. D.
Venue
Proceedings of the National Academy of Sciences
Published
2015-08-31
Volume
112
Issue
38
Pages
11899-11904
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W1898189654
Cited by
982
References
7
FWCI
31.73
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Threat of plastic pollution to seabirds is global, pervasive, and increasing. https://app.cochat.ai/papers/10.1073/pnas.1502108112
The paper
Wilcox, C., Van Sebille, E., & Hardesty, B. D. (2015). Threat of plastic pollution to seabirds is global, pervasive, and increasing. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1502108112

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.