CDPOP: A spatially explicit cost distance population genetics program
Authored by Erin L Landguth, S A Cushman
Date Published: 2010
DOI: 10.1111/j.1755-0998.2009.02719.x
Sponsors:
United States National Science Foundation (NSF)
Platforms:
No platforms listed
Model Documentation:
Other Narrative
Model Code URLs:
Model code not found
Abstract
Spatially explicit simulation of gene flow in complex landscapes is
essential to explain observed population responses and provide a
foundation for landscape genetics. To address this need, we wrote a
spatially explicit, individual-based population genetics model (cdpop).
The model implements individual-based population modelling with
Mendelian inheritance and k-allele mutation on a resistant landscape.
The model simulates changes in population and genotypes through time as
functions of individual based movement, reproduction, mortality and
dispersal on a continuous cost surface. This model will be a valuable
tool for the study of landscape genetics by increasing our understanding
about the effects of life history, vagility and differential models of
landscape resistance on the genetic structure of populations in complex
landscapes.
Tags
landscape genetics
Flow
Trees
Molecular-data