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Published on: November 29, 2024
Assessing a landscape barrier using genetic simulation modelling: implications for raccoon rabies management
Erin E Rees1, Bruce A Pond, Catherine I Cullingham
1Natural Resources DNA Profiling & Forensic Centre, Trent University, DNA Building, Peterborough, Ontario, Canada. erin.rees@nrdpfc.ca
Preventive Veterinary Medicine
|April 29, 2008
Summary
Landscape barriers impact wildlife disease spread. Computer simulations and field data show the Niagara River blocks 50% of raccoon movements, reducing rabies spread risk into Ontario.
Area of Science:
- Ecology and Evolutionary Biology
- Epidemiology
- Conservation Genetics
Background:
- Landscape features significantly influence animal movement and the spatio-temporal dynamics of infectious diseases.
- Assessing the impact of barriers like rivers is crucial for wildlife disease risk management, particularly for diseases like rabies.
Purpose of the Study:
- To quantify the barrier effect of the Niagara River on raccoon (Procyon lotor) movement.
- To evaluate the risk of raccoon rabies transmission from New York State to Ontario, Canada.
- To integrate genetic data from simulations and field samples for enhanced disease spread modeling.
Main Methods:
- An individual-based, spatially explicit computer model simulated raccoon population expansion across the Niagara River.
- Genetic population structure was analyzed using mitochondrial DNA haplotypes, phi ST genetic distance, Mantel tests, and gene diversity.
- Model outputs were compared with genetic data from 166 field-sampled raccoons to calibrate the river's barrier effect.
Main Results:
- The "best fit" model indicated the Niagara River prevents approximately 50% of raccoon crossing attempts.
- Founder effects were the primary driver of genetic structure in the colonizing population.
- Increased river barrier effect correlated with decreased genetic diversity in the raccoon population.
Conclusions:
- The Niagara River acts as a significant barrier, reducing potential cross-river rabies infection.
- Genetic data from simulations and field samples effectively calibrate landscape barrier effects on gene flow.
- This approach enhances the investigation and control strategies for wildlife infectious diseases.

