The DOI matches its Crossref record; 61 of the 61 references it cites were found in a registry or an index.
Pollution going multimodal: the complex impact of the human-altered sensory environment on animal perception and performance
Open accessAbstract
Anthropogenic sensory pollution is affecting ecosystems worldwide. Human actions generate acoustic noise, emanate artificial light and emit chemical substances. All of these pollutants are known to affect animals. Most studies on anthropogenic pollution address the impact of pollutants in unimodal sensory domains. High levels of anthropogenic noise, for example, have been shown to interfere with acoustic signals and cues. However, animals rely on multiple senses, and pollutants often co-occur. Thus, a full ecological assessment of the impact of anthropogenic activities requires a multimodal approach. We describe how sensory pollutants can co-occur and how covariance among pollutants may differ from natural situations. We review how animals combine information that arrives at their sensory systems through different modalities and outline how sensory conditions can interfere with multimodal perception. Finally, we describe how sensory pollutants can affect the perception, behaviour and endocrinology of animals within and across sensory modalities. We conclude that sensory pollution can affect animals in complex ways due to interactions among sensory stimuli, neural processing and behavioural and endocrinal feedback. We call for more empirical data on covariance among sensory conditions, for instance, data on correlated levels in noise and light pollution. Furthermore, we encourage researchers to test animal responses to a full-factorial set of sensory pollutants in the presence or the absence of ecologically important signals and cues. We realize that such approach is often time and energy consuming, but we think this is the only way to fully understand the multimodal impact of sensory pollution on animal performance and perception.
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Cites
Hearing lips and seeing voices
MCGURK, H., & MACDONALD, J. (1976) · Nature · doi:10.1038/264746a0 · Cited by 6,183
Signals, Signal Conditions, and the Direction of Evolution
Endler, J. A. (1992) · The American Naturalist · doi:10.1086/285308 · Cited by 1,960
Longcore, T., & Rich, C. (2004) · Frontiers in Ecology and the Environment · doi:10.1890/1540-9295(2004)002[0191:elp]2.0.co;2 · Cited by 1,423
Wiley, R. H., & Richards, D. G. (1978) · Behavioral Ecology and Sociobiology · doi:10.1007/bf00300047 · Cited by 1,106
The costs of chronic noise exposure for terrestrial organisms
Barber, J. R., Crooks, K. R., & Fristrup, K. M. (2010) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2009.08.002 · Cited by 1,005
(2004) · Medical Entomology and Zoology · Cited by 978
Acoustic Communication in Noise
Brumm, H., & Slabbekoorn, H. (2005) · Advances in the Study of Behavior · doi:10.1016/s0065-3454(05)35004-2 · Cited by 973
Self-citationComplex signal function: developing a framework of testable hypotheses
Hebets, E. A., & Papaj, D. R. (2005) · Behavioral Ecology and Sociobiology · doi:10.1007/s00265-004-0865-7 · Cited by 958
The Handbook of Multisensory Processes
(2004) · doi:10.7551/mitpress/3422.001.0001 · Cited by 948
Partan, S., & Marler, P. (1999) · Science · doi:10.1126/science.283.5406.1272 · Cited by 688
Cited by
A framework to assess evolutionary responses to anthropogenic light and sound
Swaddle, J. P., Francis, C. D., Barber, J. R., Cooper, C. B., Kyba, C. C. M., Dominoni, D. M., Shannon, G., Aschehoug, E., Goodwin, S. E., Kawahara, A. Y., et al. (2015) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2015.06.009 · Cited by 332
Metadata
- Authors
- Halfwerk, W., & Slabbekoorn, H.
- Venue
- Biology Letters
- Publisher
- The Royal Society
- Published
- 2015-04
- Volume
- 11
- Issue
- 4
- Pages
- 20141051
- ISSN
- 1744-9561 (ISSN-L)
- 1744-957X
- OpenAlex
- W2104041404
- Cited by
- 256
- References
- 61
- FWCI
- 16.66
- Type
- journal article
- Language
- en
- Open access
- green
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