DOI: 10.5061/dryad.000000014
title: Data from: Recovery from infection is more likely to favor the evolution of migration than social escape from infection

description: 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. 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. 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. 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. 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).
description: 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.
description: # Recovery from infection is more likely to favor the evolution of
 migration than social escape from infection
 By: Allison K. Shaw and
 Sandra A. Binning Published in: Journal of Animal Ecology Contact
 for assistance. ## Description of the data and file
 structure The following files are included: (1) Folder (.zip)
 "files_plotfigures" \* Contains Matlab code (.m files) and data
 (.mat files) plotting the figures. \* Contents: \&gt; make_fig2.m: code to
 plot Figure 2 \&gt; make_fig3.m: code to plot Figure 3 \&gt; make_fig4.m:
 code to plot Figure 4 \&gt; make_fig5.m: code to plot Figure 5 \&gt;
 make_figs_supp.m: code to plot figures S1-S9 results: folder with compiled
 output files (.mat) for simulations (2) Folder (.zip)
 "files_runcode" \* Contains Matlab code (.m files) for running
 model simulations. \&gt; run_parameter_sweep.m: runs parameter sweeps for
 (i) migratory escape (ii) migratory recovery (iii) migratory escape and
 recovery calls do_set_model_parameters.m and run_SIS_migration.m each
 single simulation creates a .mat file named according to parameters:
 output_ttype=xx_rectype=xx_betaa=xx_gammab=xx_cm=xx-xx_ci=xx-xx_T1=xx.mat
 \&gt; do_set_model_parameters.m: sets all life history and transmission
 model parameters \&gt; run_SIS_migration.m: main function, runs simulation
 of adaptive dynamics calls do_withinyear_dynamics_1strain.m,
 do_strain_mutation.m and do_withinyear_dynamics_multstrain \&gt;
 do_withinyear_dynamics_1strain.m: simulates within-year dynamics for a
 population with a single migration strain calls do_dynamics_nobreeding.m
 and do_dynamics_withbreeding.m \&gt; do_strain_mutation.m: mutates
 population slightly \&gt; do_withinyear_dynamics_multstrain.m: simulates
 within-year dynamics for a population with multiple migration strains
 calls do_dynamics_nobreeding.m and do_dynamics_withbreeding.m \&gt;
 do_dynamics_nobreeding.m: simulates transmission and survival dynamics for
 a single season \&gt; do_dynamics_withbreeding.m: simulates transmission,
 survival and breeding dynamics for a single season \&gt;
 compile_paramsweep.m: takes the output files from run_parameter_sweep.m,
 plots each one,creating a .jpg file named according to parameters:
 resultfig_ttype=xx_rectype=xx_betaa=xx_gammab=xx_cm=xx-xx_ci=xx-xx_T1=xx.jpg This script also compiles the single simulation results into mat files that are grouped for plottingnamed according to parameters: results_ttype=xx_rec=xx_xx_xx_cnm=xx_cni=xx.mat results_ttype=xx_rec=xx_xx_xx_cnm=xx_csigi=xx.mat results_ttype=xx_rec=xx_xx_xx_csigm=xx_cni=xx.mat results_ttype=xx_rec=xx_xx_xx_csigm=xx_csigi=xx.mat matfile_ttype=xx_rectype=xx_betaa=xx_gammab=xx.mat