NCEAS Project 9961
Linking landscape ecology and population genetics using algorithms from circuit theory
- Brad H. McRae
| Activity | Dates | Further Information |
|---|---|---|
| Postdoctoral Fellow | 1st November 2005—7th July 2008 | Participant List |
Abstract
The proposed research addresses a lack of quantitative models that can link data on landscape pattern and gene flow in natural populations. Because current landscape connectivity models focus on dispersal but not emergent patterns of gene flow, they are unable to take advantage of a growing number of population genetic datasets for validation, and cannot predict genetic effects of landscape change. Similarly, population genetic models either ignore spatial heterogeneity or suffer from prohibitive data and/or computational requirements. I propose to develop models which borrow computationally efficient algorithms from circuit theory to bridge geographic and genetic data and predict effects of landscape pattern on genetic structuring in natural populations.
| Type | Products of NCEAS Research |
|---|---|
| Report or White Paper | McRae, Brad H. 2006. Circuitscape User Manual. NCEAS website. (Online version) |
| Presentations | McRae, Brad H. 2006. Connectivity analysis and corridor design using circuit theory. Annual meeting of the Society for Conservation Biology. |
| Journal Article | McRae, Brad H. 2006. Isolation by Resistance. Evolution. Vol: 60. Pages 1551-1561. |
| Presentations | McRae, Brad H. 2006. Least cost path on steroids: Connectivity models from circuit theory. Annual meeting of the International Association for Landscape Ecology. |
| Data Set | McRae, Brad H. 2006. Puma genetic data: Southwestern USA. (Abstract) (Online version) |
| Journal Article | McRae, Brad H.; Beier, Paul. 2007. Circuit theory predicts gene flow in plant and animal populations. Proceedings of the National Academy of Sciences. Vol: 104. Pages 19885-19890. (Online version) |
| Presentations | McRae, Brad H. 2007. Incorporating spatial heterogeneity in population genetic studies. Department of Fish and Wildlife Resources. University of Idaho. |
| Presentations | McRae, Brad H. 2007. Predicting connectivity using circuit analysis: Theory, algorithms and applications in population genetics and conservation planning. Annual meeting of the International Association for Landscape Ecology. |
| Presentations | McRae, Brad H. 2007. Predicting connectivity using circuit analysis: Theory and application in conservation planning. Annual meeting of the Ecological Society of America. |
| Journal Article | McRae, Brad H.; Schumaker, Nathan H.; McKane, Robert B.; Busing, Richard T.; Solomon, Allen M.; Burdick, Connie A. 2008. A multi-model framework for simulating wildlife population response to land-use and climate change. Ecological Modelling. Vol: 219. Pages 77-91. (Online version) |
| Journal Article | McRae, Brad H. 2008. Circuitous Routes. Conservation Magazine . |
| Journal Article | McRae, Brad H.; Dickson, Brett; Keitt, Timothy H.; Shah, Viral. 2008. Using circuit theory to model connectivity in ecology, evolution, and conservation. Ecology. Vol: 89(10). Pages 2712-2724. |
| Software | McRae, Brad H. CIRCUITSCAPE Java Sofware for connectiviy analysis. (Online version) |
| Software | McRae, Brad H. CIRCUITSCAPE Matlab Sofware for connectiviy analysis. |
| Software | McRae, Brad H.; Shah, Viral. CIRCUITSCAPE Python software for connectiviy analysis. |