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The benefits of insect-swarm hunting to echolocating bats, and its influence on the evolution of bat echolocation signals
- Source :
- PLoS Computational Biology, PLoS Computational Biology, Vol 15, Iss 12, p e1006873 (2019)
- Publication Year :
- 2019
- Publisher :
- Public Library of Science, 2019.
-
Abstract
- Predation on swarms of prey, especially using visual information, has drawn much interest in studies of collective movement. Surprisingly, in the field of biosonar this aspect of prey detection, which is probably very common, has received little to no attention. Here, we combine computer simulations and actual echo measurements to accurately estimate the echo sound pressure of insect swarms of different size and density. We show that swarm echo sound pressure increases with 3dB for every doubling of insect number, irrespective of swarm density. Thus swarms will be much easier to detect than single insects. Many of the insects bats eat are so small that they are only detectable by echolocation at very short distances. By focusing on detection of swarms of insects, a bat may increase its operating range and diversify its diet. Interestingly, interference between the sound waves reflected from a swarm of insects can sometimes result in echoes that are much weaker than echoes from single insects. We show that bats can reduce this problem by increasing the bandwidth of their echolocation calls. Specifically, a bandwidth of 3–8 kHz would guarantee receiving loud echoes from any angle relative to the swarm. Indeed, many bat species, and specifically bats hunting in open spaces, where swarms are abundant, use echolocation signals with a bandwidth of several kHz. Our results might also explain how the first echolocating bats that probably had limited echolocation abilities, could detect insects through swarm hunting.<br />Author summary When bats hunt, they often encounter insects that fly in swarms. Echolocating bats emit sonar signals to search for prey and it is currently unknown what such swarms look like to a bat. Unlike vision, sonar senses the delay or distance to objects directly. We show that when bats hunt for insects in the sky, the echoes from the insects in a swarm will most of the time sum up and therefore become much louder than the echo of a single insect. Every time an insect swarm would double in number, a bat would hear an echo that is 3dB stronger. This could enable a bat to detect prey from longer distances and some bats might thus profit from swarm hunting. However, the echoes reflected from the many insects in the swarm also create acoustic interference so that sometimes the summed echo is actually weak at a certain frequency. We show how bats could deal with this drawback. It is known that most bats do not use sonar signals with a single tone but that they modulate their tones. Our analysis shows that this modulation can solve the problem of spectral interference ensuring that the swarm-echo is always loud.
- Subjects :
- 0301 basic medicine
Insecta
Physiology
Echoes
Bat echolocation
Social Sciences
Predation
Insect
0302 clinical medicine
Chiroptera
Bats
Medicine and Health Sciences
Psychology
Biology (General)
Sound pressure
Animal Flight
media_common
Mammals
Animal Behavior
Ecology
Physics
Swarm behaviour
Eukaryota
Trophic Interactions
Insects
Computational Theory and Mathematics
Community Ecology
Modeling and Simulation
Physical Sciences
Vertebrates
Engineering and Technology
Sound Pressure
Research Article
Food Chain
Arthropoda
QH301-705.5
Bioacoustics
media_common.quotation_subject
Acoustics
Prey detection
Finite Element Analysis
Human echolocation
Biology
03 medical and health sciences
Cellular and Molecular Neuroscience
Imaging, Three-Dimensional
Genetics
Animals
Computer Simulation
Molecular Biology
Ecology, Evolution, Behavior and Systematics
Population Density
Behavior
Stochastic Processes
Biological Locomotion
Ecology and Environmental Sciences
Organisms
Biology and Life Sciences
Computational Biology
Signal Bandwidth
Invertebrates
030104 developmental biology
Echolocation
Flight, Animal
Predatory Behavior
Amniotes
Signal Processing
Insect Flight
Zoology
030217 neurology & neurosurgery
Subjects
Details
- Language :
- English
- ISSN :
- 15537358 and 1553734X
- Volume :
- 15
- Issue :
- 12
- Database :
- OpenAIRE
- Journal :
- PLoS Computational Biology
- Accession number :
- edsair.doi.dedup.....9e6a69707aecf9841d58d6285d370eea