Downloads provided by UsageCounts
# 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: \> make_fig2.m: code to plot Figure 2 \> make_fig3.m: code to plot Figure 3 \> make_fig4.m: code to plot Figure 4 \> make_fig5.m: code to plot Figure 5 \> 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. \> 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 \> do_set_model_parameters.m: sets all life history and transmission model parameters \> 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 \> 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 \> do_strain_mutation.m: mutates population slightly \> 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 \> do_dynamics_nobreeding.m: simulates transmission and survival dynamics for a single season \> do_dynamics_withbreeding.m: simulates transmission, survival and breeding dynamics for a single season \> 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
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).
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.
pathogen infection, environmental gradient, Mathematical model, evolutionarily stable strategy, FOS: Biological sciences, Disease ecology, Host-parasite interaction
pathogen infection, environmental gradient, Mathematical model, evolutionarily stable strategy, FOS: Biological sciences, Disease ecology, Host-parasite interaction
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 5 | |
| downloads | 1 |

Views provided by UsageCounts
Downloads provided by UsageCounts