SimAdapt: an individual-based genetic model for simulating landscape management impacts on populations
Article first published online: 28 FEB 2013
© 2013 The Authors. Methods in Ecology and Evolution © 2013 British Ecological Society
Methods in Ecology and Evolution
Volume 4, Issue 6, pages 595–600, June 2013
How to Cite
Rebaudo, F., Le Rouzic, A., Dupas, S., Silvain, J.-F., Harry, M., Dangles, O. (2013), SimAdapt: an individual-based genetic model for simulating landscape management impacts on populations. Methods in Ecology and Evolution, 4: 595–600. doi: 10.1111/2041-210X.12041
- Issue published online: 7 JUN 2013
- Article first published online: 28 FEB 2013
- Accepted manuscript online: 9 FEB 2013 04:27PM EST
- Manuscript Accepted: 5 FEB 2013
- Manuscript Received: 17 DEC 2012
- French Agence Nationale de la Recherche
- IDEEV French institute (project GEN-SPAT)
- University Paris-Sud 11
- European program. Grant Number: FP7/2007-2013
- Marie Curie reintegration. Grant Number: ERG-256507
- 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.