@article{fdi:010060398,
  title = {{S}im{A}dapt : an individual-based genetic model for simulating landscape management impacts on populations},
  author = {{R}ebaudo, {F}ran{\c{c}}ois and {L}e {R}ouzic, {A}. and {D}upas, {S}t{\'e}phane and {S}ilvain, {J}ean-{F}ran{\c{c}}ois and {H}arry, {M}. and {D}angles, {O}livier},
  editor = {},
  language = {{ENG}},
  abstract = {{S}imulation models are essential tools in landscape genetics to study how genetic processes are affected by landscape heterogeneity. {H}owever, there is still a need to develop different simulation approaches in landscape genetics, so that users may dispose of additional programs to explore further the impact of land-use and land-cover changes on population genetics. {W}e developed a spatially explicit, individual-based, forward-time, landscape-genetic simulation model combined with a landscape cellular automaton to represent evolutionary processes of adaptation and population dynamics in changing landscapes, using the {N}et{L}ogo environment. {T}his simulation model represents a unique tool for scientists and scholars looking for a practical and pedagogical framework to explore both empirical and theoretical situations.},
  keywords = {adaptation ; ecology ; forward-time ; land-use ; netlogo ; spatially explicit},
  booktitle = {},
  journal = {{M}ethods in {E}cology and {E}volution},
  volume = {4},
  numero = {6},
  pages = {595--600},
  ISSN = {2041-210{X}},
  year = {2013},
  DOI = {10.1111/2041-210x.12041},
  URL = {https://www.documentation.ird.fr/hor/fdi:010060398},
}