@article{landguth2017cdmetapop,
  abstract = {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.},
  added-at = {2025-01-28T22:46:39.000+0100},
  author = {Landguth, Erin L. and Bearlin, Andrew and Day, Casey C. and Dunham, Jason},
  biburl = {https://www.bibsonomy.org/bibtex/2e22d33be088ca778120b463fe0f2d288/peter.ralph},
  doi = {https://doi.org/10.1111/2041-210X.12608},
  eprint = {https://besjournals.onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.12608},
  interhash = {770bfb689ae6f5bf0b551ba2ca115ce0},
  intrahash = {e22d33be088ca778120b463fe0f2d288},
  journal = {Methods in Ecology and Evolution},
  keywords = {landscape_genetics simulation_software individual_based_model},
  number = 1,
  pages = {4-11},
  timestamp = {2025-01-28T22:46:39.000+0100},
  title = {{CDMetaPOP}: an individual-based, eco-evolutionary model for spatially explicit simulation of landscape demogenetics},
  url = {https://besjournals.onlinelibrary.wiley.com/doi/abs/10.1111/2041-210X.12608},
  volume = 8,
  year = 2017
}

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