The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
Acoustic masking in marine ecosystems: intuitions, analysis, and implication
Open accessAbstract
Acoustic masking from anthropogenic noise is increasingly being considered as a threat to marine mammals, particularly low-frequency specialists such as baleen whales.Low-frequency ocean noise has increased in recent decades, often in habitats with seasonally resident populations of marine mammals, raising concerns that noise chronically influences life histories of individuals and populations.In contrast to physical harm from intense anthropogenic sources, which can have acute impacts on individuals, masking from chronic noise sources has been difficult to quantify at individual or population levels, and resulting effects have been even more difficult to assess.This paper presents an analytical paradigm to quantify changes in an animal's acoustic communication space as a result of spatial, spectral, and temporal changes in background noise, providing a functional definition of communication masking for free-ranging animals and a metric to quantify the potential for communication masking.We use the sonar equation, a combination of modeling and analytical techniques, and measurements from empirical data to calculate time-varying spatial maps of potential communication space for singing fin (Balaenoptera physalus), singing humpback (Megoptera novaeangliae), and calling right (Eubalaena glacialis) whales.These illustrate how the measured loss of communication space as a result of differing levels of noise is converted into a time-varying measure of communication masking.The proposed paradigm and mechanisms for measuring levels of communication masking can be applied to different species, contexts, acoustic habitats and ocean noise scenes to estimate the potential impacts of masking at the individual and population levels.
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(2016) · Interpersonal Communication · doi:10.4324/9781315506173-8 · Cited by 4,693
Principles of underwater sound
Urick, R. J. (1975) · Virtual Defense Library (Ministerio de Defensa) · Cited by 3,036
Auditory Scene Analysis: The Perceptual Organization of Sound
Bregman, A. S., & McAdams, S. (1994) · The Journal of the Acoustical Society of America · doi:10.1121/1.408434 · Cited by 3,029
An Introduction to the Psychology of Hearing: Fourth Edition
Moore, B. (1997) · BRILL eBooks · doi:10.1163/9789004658820 · Cited by 2,646
Principles of underwater sound
(2011) · Passive Acoustic Monitoring of Cetaceans · doi:10.1017/cbo9780511977107.003 · Cited by 2,257
Nilsson, M., Soli, S. D., & Sullivan, J. A. (1994) · The Journal of the Acoustical Society of America · doi:10.1121/1.408469 · Cited by 2,078
(1995) · Elsevier eBooks · doi:10.1016/c2009-0-02253-3 · Cited by 1,568
(2018) · Routledge eBooks · doi:10.4324/9781315167534 · Cited by 1,139
Payne, R. S., & McVay, S. (1971) · Science · doi:10.1126/science.173.3997.585 · Cited by 798
Santos Vázquez, M. B. (2000) · Journal of Experimental Marine Biology and Ecology · doi:10.1016/s0022-0981(00)00175-1 · Cited by 733
Cited by
Smart Earth: A meta-review and implications for environmental governance
Bakker, K., & Ritts, M. (2018) · Global Environmental Change · doi:10.1016/j.gloenvcha.2018.07.011 · Cited by 244
Acoustic monitoring for conservation in tropical forests: examples from forest elephants
Wrege, P. H., Rowland, E. D., Keen, S., & Shiu, Y. (2017) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.12730 · Cited by 191
Animal calling behaviours and what this can tell us about the effects of changing soundscapes
Burnham, R. (2023) · Acoustics · doi:10.3390/acoustics5030039 · Cited by 10
Metadata
- Authors
- Clark, C., Ellison, W., Southall, B., Hatch, L., Van Parijs, S., Frankel, A., & Ponirakis, D.
- Venue
- Marine Ecology Progress Series
- Publisher
- Inter-Research Science Center
- Published
- 2009-12-03
- Volume
- 395
- Pages
- 201-222
- ISSN
- 0171-8630 (ISSN-L)
- 1616-1599
- OpenAlex
- W2121820203
- Cited by
- 594
- References
- 46
- FWCI
- 17.07
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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