Eco-evolutionary dynamics of partially migratory metapopulations in spatially and seasonally varying environments

Predicting joint population dynamic and evolutionary responses to environmental changes requires understanding interactions among environmentally induced phenotypic variation, selection, demography and genetic variation, and thereby predicting eco-evolutionary dynamics emerging across diverse temporal and spatial scales.
Partially migratory metapopulations (PMMPs) feature seasonal coexistence of resident and migrant individuals across multiple spatially distinct subpopulations. Such PMMPs have clear potential for complex spatio-seasonal eco-evolutionary dynamics because selection on migration impacts spatial population dynamics, which in turn shape the form and magnitude of selection, causing feedbacks with ongoing micro-evolution.
However, the key genetic and environmental conditions that maintain migratory polymorphisms, and emerging eco-evolutionary dynamics of PMMPs under stochastic environmental variation and strong seasonal perturbations, have not yet been characterised.
We presen..., The repository contains self-produced code., , # Eco-evolutionary dynamics of partially migratory metapopulations in spatially and seasonally varying environments

[https://doi.org/10.5061/dryad.1rn8pk12n](https://doi.org/10.5061/dryad.1rn8pk12n)

eco_evo_pmmps_Dryad.R : Code accompanying the manuscript \"Eco-evolutionary dynamics of partially migratory metapopulations in spatially and seasonally varying environments\".

## Simulation program

The main simulation program begins on line 1067. It requires the preamble (chunk line 1-64) to be run before executing. It includes sensible defaults and so should run smoothly immediately. A list of arguments and outputs are provided above (from line 1006).

## Simulation data

Simulation output must be saved either locally or to disk - see example on line 1460 & 1461. Before being used for plotting, simulation output needs to be converted to a stats file. This is done with the popstats function. Run the chunk \"Functions for wrangling and plotting results\" (line 66-871) first. Then take simulat..., ,