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A Risk Function for Behavioral Disruption of Blainville’s Beaked Whales (Mesoplodon densirostris) from Mid-Frequency Active Sonar

Overview of attention for article published in PLOS ONE, January 2014
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

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1 blog
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3 X users
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1 Facebook page

Citations

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51 Dimensions

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148 Mendeley
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1 CiteULike
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Title
A Risk Function for Behavioral Disruption of Blainville’s Beaked Whales (Mesoplodon densirostris) from Mid-Frequency Active Sonar
Published in
PLOS ONE, January 2014
DOI 10.1371/journal.pone.0085064
Pubmed ID
Authors

David Moretti, Len Thomas, Tiago Marques, John Harwood, Ashley Dilley, Bert Neales, Jessica Shaffer, Elena McCarthy, Leslie New, Susan Jarvis, Ronald Morrissey

Abstract

There is increasing concern about the potential effects of noise pollution on marine life in the world's oceans. For marine mammals, anthropogenic sounds may cause behavioral disruption, and this can be quantified using a risk function that relates sound exposure to a measured behavioral response. Beaked whales are a taxon of deep diving whales that may be particularly susceptible to naval sonar as the species has been associated with sonar-related mass stranding events. Here we derive the first empirical risk function for Blainville's beaked whales (Mesoplodon densirostris) by combining in situ data from passive acoustic monitoring of animal vocalizations and navy sonar operations with precise ship tracks and sound field modeling. The hydrophone array at the Atlantic Undersea Test and Evaluation Center, Bahamas, was used to locate vocalizing groups of Blainville's beaked whales and identify sonar transmissions before, during, and after Mid-Frequency Active (MFA) sonar operations. Sonar transmission times and source levels were combined with ship tracks using a sound propagation model to estimate the received level (RL) at each hydrophone. A generalized additive model was fitted to data to model the presence or absence of the start of foraging dives in 30-minute periods as a function of the corresponding sonar RL at the hydrophone closest to the center of each group. This model was then used to construct a risk function that can be used to estimate the probability of a behavioral change (cessation of foraging) the individual members of a Blainville's beaked whale population might experience as a function of sonar RL. The function predicts a 0.5 probability of disturbance at a RL of 150 dBrms re µPa (CI: 144 to 155) This is 15dB lower than the level used historically by the US Navy in their risk assessments but 10 dB higher than the current 140 dB step-function.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
South Africa 1 <1%
Italy 1 <1%
New Zealand 1 <1%
United Kingdom 1 <1%
Unknown 141 95%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 31 21%
Researcher 30 20%
Student > Master 20 14%
Student > Ph. D. Student 19 13%
Other 13 9%
Other 12 8%
Unknown 23 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 67 45%
Environmental Science 28 19%
Medicine and Dentistry 6 4%
Earth and Planetary Sciences 5 3%
Biochemistry, Genetics and Molecular Biology 3 2%
Other 13 9%
Unknown 26 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 December 2022.
All research outputs
#3,277,307
of 23,322,966 outputs
Outputs from PLOS ONE
#43,198
of 199,408 outputs
Outputs of similar age
#40,388
of 308,432 outputs
Outputs of similar age from PLOS ONE
#1,143
of 5,593 outputs
Altmetric has tracked 23,322,966 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 199,408 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. This one has done well, scoring higher than 78% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 308,432 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 5,593 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.