%0 Journal Article
%9 ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES
%A Rebaudo, François
%A Le Rouzic, A.
%A Dupas, Stéphane
%A Silvain, Jean-François
%A Harry, M.
%A Dangles, Olivier
%T SimAdapt : an individual-based genetic model for simulating landscape management impacts on populations
%D 2013
%L fdi:010060398
%G ENG
%J Methods in Ecology and Evolution
%@ 2041-210X
%K adaptation ; ecology ; forward-time ; land-use ; netlogo ; spatially explicit
%M ISI:000320117200012
%N 6
%P 595-600
%R 10.1111/2041-210x.12041
%U https://www.documentation.ird.fr/hor/fdi:010060398
%> https://www.documentation.ird.fr/intranet/publi/2013/07/010060398.pdf
%V 4
%W Horizon (IRD)
%X 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.
%$ 082 ; 020