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Published on: October 16, 2018
Relationships between migration rates and landscape resistance assessed using individual-based simulations
E L Landguth1, S A Cushman, M A Murphy
1University of Montana, Mathematics Building, Missoula, MT 59812, USA USDA Forest Service, Rocky Mountain Research Station, 800 E Beckwith, Missoula, MT 59801, USA Colorado State University, Biology Department, Fort Collins, CO 80523-1878, USA Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto (CIBIO-UP), Campus Agrário de Vairão, 4485-661 Vairão, Portugal University of Montana, Division of Biological Sciences, Missoula, MT 59812, USA.
This study links landscape genetics to classical population models by simulating gene flow across barriers. Individual-based models reveal how landscape resistance influences genetic structure and connectivity.
Area of Science:
- Ecology
- Population Genetics
- Landscape Genetics
Background:
- Understanding landscape effects on gene flow is crucial for landscape genetics.
- Classical population genetic models need integration with individual-based models for assessing movement impacts.
Purpose of the Study:
- To link classical population genetics models with individual-based landscape genetic models.
- To investigate how landscape barriers affect gene flow, dispersal, and mating.
- To develop a mathematical framework connecting barrier permeability to migration rates.
Main Methods:
- Utilized Wright-Fisher models and spatially explicit, individual-based landscape genetic models.
- Simulated gene flow via dispersal and mating in landscapes with barriers.
- Developed a formula relating barrier strength to migration rate (m).
Main Results:
- A formula was derived to predict migration rate based on barrier permeability.
- Individual-based models demonstrated that landscape resistance significantly impacts genetic patterns.
- Relaxing Wright-Fisher assumptions, like isolation by distance, altered population substructure (FST).
Conclusions:
- Individual-based, spatially explicit modeling offers a robust framework for studying landscape resistance and population connectivity.
- The developed formula bridges spatially explicit landscape genetics and classical population genetics theory.
- Movement and landscape interactions are key drivers of genetic patterns in complex environments.
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