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Modelling collective navigation via non-local communication.

S T Johnston1, K J Painter2

  • 1Systems Biology Laboratory, School of Mathematics and Statistics, and Department of Biomedical Engineering, University of Melbourne, Parkville, Victoria 3010, Australia.

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|September 29, 2021
PubMed
Summary
This summary is machine-generated.

Collective navigation, using environmental cues and group communication, enhances animal movement efficiency. This model shows group navigation benefits, especially in low-information areas, and quantifies noise pollution impacts.

Keywords:
collective behaviourcommunicationdecision makingmigrationnavigationrandom walk

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Area of Science:

  • Behavioral Ecology
  • Mathematical Biology
  • Animal Migration

Background:

  • Collective migration is a widespread animal behavior requiring navigation and social interaction.
  • Individual communication within groups reduces orientation errors during migration.
  • Environmental noise can introduce uncertainty into cue interpretation and perception.

Purpose of the Study:

  • To develop a mathematical model integrating navigational cues and social perception for collective navigation.
  • To analyze how uncertainty affects decision-making in collective navigation.
  • To investigate the efficiency of collective versus individual navigation under varying conditions.

Main Methods:

  • Development of a novel mathematical model for collective navigation.
  • Incorporation of uncertainty in cue interpretation and social perception.
  • Application of the model to minke whale migration in the Northeast Atlantic.

Main Results:

  • Collective navigation is more efficient than individual navigation above a threshold of perceptible individuals.
  • Benefits of group navigation are amplified in environments with limited navigational information.
  • A 'relay' mechanism enhances navigation in information-poor areas by connecting to information-rich regions.

Conclusions:

  • Collective navigation offers significant advantages over individual navigation, particularly in challenging environments.
  • The model provides a framework for understanding and quantifying the impact of environmental factors, like anthropogenic noise, on migration.
  • Anthropogenic noise pollution was quantified as a factor decreasing navigation ability in minke whales.