CDM eta POP : an individual‐based, eco‐evolutionary model for spatially explicit simulation of landscape demogenetics

Summary 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.