Population Genetics evo-edu.org

Landscape genetics and spatial population-change materials for movement, barriers, and population structure.

Application

Gene Flow Mapper

Use a direct responsive workbench to compare left-side and right-side allele patterns under distance, dispersal, mutation, and barrier constraints, while keeping the detailed legacy map available for comparison.

First challenge Run a no-barrier case, then enable the barrier and compare how quickly left and right allele summaries drift apart.
Key habit Separate isolation by distance from barrier-driven separation. Similar-looking divergence can have different spatial causes.
Legacy memorialized The older detailed spatial map remains available as a legacy route while this direct workbench replaces the iframe workflow.

Run Actions

Controls you will use first

Keep run, save, export, and import actions separate from the spatial parameters so the first useful comparison is obvious.

Current Run Status

Final left allele 0 0.00
Final right allele 0 0.00
Final divergence 0.00
Barrier column 0

Try This First

Step 1 Run the defaults with the barrier enabled and note the left/right difference at the end.
Step 2 Disable the barrier and compare whether the two sides remain more similar.
Step 3 Change dispersal distance and decide whether distance effects or barrier effects dominate.

Main Display

Left-side versus right-side allele summaries

This direct workbench shows the shared API summary view. Use the legacy map when you want the full cell-by-cell spatial picture.

Left side allele 0 Right side allele 0
Left side summary

Run the simulation to compare left-side allele frequency.

Right side summary

Run the simulation to compare right-side allele frequency.

What to notice Increasing divergence between the two lines can reflect barrier effects, reduced dispersal, or both.
Compare mechanisms Change one factor at a time so you can tell whether separation is driven by distance, mutation, or barrier permeability.
Generation snapshots
Interpretation prompt

Run the baseline case first, then compare one changed parameter.

Settings

Spatial population parameters

These values control grid size, mutation, dispersal distance, barrier placement, and the rate of gene flow across the barrier.