CDMetaPOP: an individual-based, eco-evolutionary model for spatially explicit simulation of landscape demogenetics

Erin L. Landguth, Andrew Bearlin, Casey C. Day, Jason Dunham

Research output: Contribution to journalArticlepeer-review

Abstract

Combining landscape demographic and genetics models offers powerful methods for addressing questions for eco-evolutionary applications. Using two illustrative examples, we present Cost–Distance Meta-POPulation, a program to simulate changes in neutral and/or selection-driven genotypes through time as a function of individual-based movement, complex spatial population dynamics, and multiple and changing landscape drivers. Cost–Distance Meta-POPulation provides a novel tool for questions in landscape genetics by incorporating population viability analysis, while linking directly to conservation applications.

Original languageEnglish
Pages (from-to)4-11
Number of pages8
JournalMethods in Ecology and Evolution
Volume8
Issue number1
DOIs
StatePublished - Jan 1 2017

Keywords

  • connectivity
  • dispersal
  • dynamic landscapes
  • gene flow
  • genotype-environment associations
  • growth rate
  • harvesting
  • landscape resistance
  • sampling
  • stream networks

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