SimAdapt : an individual-based genetic model for simulating landscape management impacts on populations /Rebaudo, François Le Rouzic, A. /Dupas, Stéphane /Silvain, Jean-François Harry, M. /Dangles, Olivier adaptation ecology forward-time land-use netlogo spatially explicit Simulation models are essential tools in landscape genetics to study how genetic processes are affected by landscape heterogeneity. However, 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. We 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 NetLogo environment. This simulation model represents a unique tool for scientists and scholars looking for a practical and pedagogical framework to explore both empirical and theoretical situations. 2013 text https://www.documentation.ird.fr/hor/fdi:010060398 fdi:010060398 Rebaudo François, Le Rouzic A., Dupas Stéphane, Silvain Jean-François, Harry M., Dangles Olivier. SimAdapt : an individual-based genetic model for simulating landscape management impacts on populations. 2013, 4 (6), 595-600 EN