Scientists at Northern Arizona University and the National Center for Ecological Analysis and Synthesis have developed a model that borrows from electronic circuit theory to predict gene flow across complex landscapes . Their approach could help biologists design better wildlife corridors, which are crucial to protecting threatened plant and animal populations.
“There are more similarities than you might think between circuits and landscapes," said Brad McRae, head of the project. "The same tools developed by engineers to analyze circuits and power networks can be used to analyze ecological connectivity across large regions."
A 2005 doctoral graduate from the NAU School of Forestry, McRae, now a scientist at the National Center for Ecological Analysis and Synthesis in Santa Barbara, Calif., with his adviser Paul Beier of NAU School of Forestry, published this innovation in the Dec. 11 issue of Proceedings of the National Academy of Sciences.
McRae had been struggling with how to predict genetic effects of landscape pattern while working with Beier on a study of cougars in the southwest United States. "We had maps of cougar habitat and genetic samples spread across four states,” he said, “but no way to predict how habitat pattern was driving gene flow across the region.”
Using experience from his previous career as an electrical engineer, he reasoned that gene flow across a complex landscape should follow the same rules as electrical conductance in a complex circuit board.
The result was what McRae calls the Isolation by Resistance model, so named because it’s similar to standard “isolation by distance” models used by geneticists, but incorporates landscape resistance into gene flow predictions. The model represents patches of habitat as nodes in an electrical circuit and the genes of animals and plants as the current that flows between the nodes. Flow occurs across multiple pathways, encountering more resistance in some areas--poor habitats or human-made barriers--and flowing preferentially through better habitats.
"I predict Brad's model will become the standard way of modeling gene flow, and in a few years it will be seen as so intuitively appropriate that scientists will wonder why no one had seen the analogy before," Beier said. "As a conservation biologist, I am most excited about the conservation implications of his model. It provides a meaningful way to evaluate how habitat fragmentation affects wildlife populations. More important, it can let us evaluate how restoring wildlife corridors can enhance gene flow and survival of wildlife."
Corridors keep plant and animal populations connected to one another, protecting them from inbreeding and other problems that affect small populations.
Beier has been involved in designing corridors in Arizona and California since 2002 and recruited McRae to develop a more rigorous scientific basis for designing corridors.
"My worst nightmare is that scarce conservation dollars would be spent implementing my recommendations for a corridor, but then the corridor doesn't work," Beier said. "Brad's model provides a realistic way to look at connectivity of the entire landscape rather than just a small part of the landscape."
The resistance model incorporates multiple pathways, instead of just the most obvious one. It represents the landscape as a conductive surface, calculating all possible pathways connecting the patches. The PNAS article tested how well the new model explained genetic patterns across 12 wolverine populations across the United States and Canada, and eight big-leaf mahogany populations in Central America.
McRae and collaborators are now using the model to pinpoint critical linkages in landscapes and aid in conservation planning. "If you can imagine current flowing across a landscape, areas where it concentrates--bottlenecks or pinch points in the flow--typically correspond to important areas to maintain connectivity," McRae said. "If you can distribute that current across multiple corridors, you'll get greater connectivity, greater gene flow and greater robustness to climate change or catastrophes like wildfires."
Cite This Page: