Published February 7, 2020 | Version v1
Dataset Open

Recovery from infection is more likely to favor the evolution of migration than social escape from infection

  • 1. University of Minnesota
  • 2. University of Montreal

Description

1. Pathogen and parasite infections are increasingly recognized as powerful drivers of animal movement, including migration. Yet, infection-related migration benefits can result from a combination of environmental and/or social conditions, which can be difficult to disentangle.
2. Here, we focus on two infection-related mechanisms that can favor migration: moving to escape versus recover from infection. By directly comparing the evolution of migration in response to each mechanism, we can evaluate the likely importance of changing abiotic conditions (linked to migratory recovery) with changing social conditions (linked to migratory escape) in terms of infection-driven migration.
3. We built a mathematical model and analyzed it using numerically simulated adaptive dynamics to determine when migration should evolve for each migratory recovery and social migratory escape.
4. We found that a higher fraction of the population migrated under migratory recovery than under social migratory escape. We also found that two distinct migratory strategies (e.g., some individuals always migrate and others only occasionally migrate) sometimes coexisted within populations with social migratory escape, but never with migratory recovery.
5. Our results suggest that migratory recovery is more likely to promote the evolution of migratory behavior, rather than escape from infected conspecifics (social migratory escape).

Notes

README.txt: This text file contains readme and notes for all files.


files_runcode.zip: This zipped folder contains Matlab code (.m files) for running model simulations.


files_plotfigures.zip: This zipped folder contains Matlab code (.m files) and data (.mat files) for plotting the figures.

Funding provided by: National Science Foundation
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000001
Award Number: DEB-1654609

Funding provided by: Natural Sciences and Engineering Research Council of Canada
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100000038
Award Number:

Funding provided by: Canada Research Chairs
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100001804
Award Number:

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