Evidence map›Paper›PMID 31830029›Full record

ArticlePLoS computational biology2019

The benefits of insect-swarm hunting to echolocating bats, and its influence on the evolution of bat echolocation signals.

Arjan Boonman, Brock Fenton, Yossi Yovel

Abstract read
In one paragraph

Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Swarming caddisflies in the mid-cretaceous.National science review · 2024
    Article
  2. Article
  3. Article
  4. Article
  5. Insectivorous bats form mobile sensory networks to optimize prey localization: The case of the common noctule bat.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Arjan BoonmanSchool of Zoology, Faculty of Life Sciences, Tel-Aviv University, Israel.ORCID 0000-0002-3686-1246
Brock FentonDpt of Biology, Western University, London, Ontario, Canada.
Yossi YovelSchool of Zoology, Faculty of Life Sciences, Tel-Aviv University, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

AnimalsChiropteraComputational BiologyComputer SimulationEcholocationFinite Element AnalysisFlight, AnimalFood ChainImaging, Three-DimensionalInsectaPopulation DensityPredatory BehaviorStochastic Processes

Identifiers

PMID31830029
PMCPMC6907744

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.