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Cited by 273

The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.

Noiseonomics: The relationship between ambient noise levels in the sea and global economic trends

Open access
Frisk, George V.·2012·Scientific Reports

Abstract

In recent years, the topic of noise in the sea and its effects on marine mammals has attracted considerable attention from both the scientific community and the general public. Since marine mammals rely heavily on acoustics as a primary means of communicating, navigating, and foraging in the ocean, any change in their acoustic environment may have an impact on their behavior. Specifically, a growing body of literature suggests that low-frequency, ambient noise levels in the open ocean increased approximately 3.3 dB per decade during the period 1950-2007. Here we show that this increase can be attributed primarily to commercial shipping activity, which in turn, can be linked to global economic growth. As a corollary, we conclude that ambient noise levels can be directly related to global economic conditions. We provide experimental evidence supporting this theory and discuss its implications for predicting future noise levels based on global economic trends.

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Crossref · 10.1038/srep00437

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Metadata

Authors
Frisk, G. V.
Venue
Scientific Reports
Published
2012-06-01
Volume
2
Issue
1
Pages
437-437
ISSN
2045-2322 (ISSN-L)
OpenAlex
W1965454989
Cited by
273
References
15
FWCI
5.84
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Noiseonomics: The relationship between ambient noise levels in the sea and global economic trends. https://app.cochat.ai/papers/10.1038/srep00437
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Frisk, G. V. (2012). Noiseonomics: The relationship between ambient noise levels in the sea and global economic trends. Scientific Reports. https://doi.org/10.1038/srep00437

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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.