Long-term Sabbatical
A confluence of disparate disciplines is occurring within evolutionary biology as the fields of population genetics, landscape ecology, phylogenetics, and biogeography (particularly in the form of ecological niche modeling) all shift more and more toward describing evolutionary pattern and process with respect to both historical and modern geographic space and structure. In recent years, population genetics and landscape ecology have merged to create a trans-discipline known as landscape genetics (Manel et al. 2003; Storfer et al. 2007), while phylogenetics and biogeography have merged to create a trans-discipline known as phylogeography (Avise 2000). Research in landscape genetics and phylogeography are often focused on similar questions, but appear to differ in their approach to elucidating answers and the chronological and geographic scales of study. My sabbatical project is the exploration of the goals, methods, and relationships among these disciplines and the production of a framework for the broad synthesis of these still largely disparate research areas within a single temporal-spatial research paradigm.
Geography, phylogeny, and population: an evolutionary synthesis
| PI(s): | Michael S Rosenberg (Arizona State University) |
| Start Date: | 1-Sep-2009 |
| End Date: | 30-Apr-2010 |
| Keywords: | population genetics, phylogenetics, biogeography, landscape ecology |
A confluence of disparate disciplines is occurring within evolutionary biology as the fields of population genetics, landscape ecology, phylogenetics, and biogeography (particularly in the form of ecological niche modeling) all shift more and more toward describing evolutionary pattern and process with respect to both historical and modern geographic space and structure. In recent years, population genetics and landscape ecology have merged to create a trans-discipline known as landscape genetics (Manel et al. 2003; Storfer et al. 2007), while phylogenetics and biogeography have merged to create a trans-discipline known as phylogeography (Avise 2000). Research in landscape genetics and phylogeography are often focused on similar questions, but appear to differ in their approach to elucidating answers and the chronological and geographic scales of study. My sabbatical project is the exploration of the goals, methods, and relationships among these disciplines and the production of a framework for the broad synthesis of these still largely disparate research areas within a single temporal-spatial research paradigm.Related products
Publications- Variation in association with manmade habitat edges exhibited by the Timber Rattlesnake (Crotalus horridus) in St. Louis County, Missouri Anderson, C.D., and M.S. Rosenberg. 2011. Variation in association with manmade habitat edges exhibited by the Timber Rattlesnake (Crotalus horridus) in St. Louis County, Missouri. Journal of Herpetology 45(1):50-55.
- Considering spatial and temporal scale in landscape-genetic studies of gene flow Anderson, C.D., B.K. Epperson, M.-J. Fortin, R. Holderegger, P. James, M.S. Rosenberg, K.T. Scribner, and S. Spear (2010). Considering spatial and temporal scale in landscape-genetic studies of gene flow. Molecular Ecology 19: 3565-3575.
- Perspectives on the use of landscape genetics to detect genetic adaptive variation in the field Manel, S., S. Joost, B.K. Epperson, R. Holderegger, A. Storfer, M.S. Rosenberg, K. Scribner, A. Bonin, and M-J. Fortin (2010). Perspectives on the use of landscape genetics to detect genetic adaptive variation in the field. Molecular Ecology 19: 376.
- Utility of computer simulations in landscape genetics Epperson, B.K., B.H. McRae, K. Scribner, S.A. Cushman, M.S. Rosenberg, M-J. Fortin, P.M.A. James, M. Murphy, S. Manel, P. Legendre, and M.R.T. Dale (2010). Utility of computer simulations in landscape genetics. Molecular Ecology 19: 3549-3564.
- A Generalized Formula for Converting Chi-Square Tests to Effect Sizes for Meta-Analysis Rosenberg, M.S. (2010). A Generalized Formula for Converting Chi-Square Tests to Effect Sizes for Meta-Analysis. PLoS ONE 5(4): e10059.
