Linking landscape ecology and population genetics using algorithms from circuit theory

Principal Investigators:

Brad H. McRae

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... more

Participants and Meetings


Working Group Participants
ActivityDatesFurther Information
Postdoctoral Fellow1st November 2005—7th July 2008Participant List  

Participant Contact Information

Brad H. McRaebmcrae@tnc.orgUS Environmental Protection Agency (EPA)

Products: Publications, Reports, Datasets, Presentations, Visualizations

TypeProducts 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.
"Linking landscape ecology and population genetics using algorithms from circuit theory" is project ID: 9961