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Testing demographic models of effective population size.
P Basset1, F Balloux, N Perrin
1Laboratory Conservation Biology, Institute of Ecology, University of Lausanne, Switzerland.
Proceedings. Biological Sciences
|February 24, 2001
Summary
Demographic models estimate effective population sizes but can overestimate them in monogamous species. Individual-based simulations show these models are generally accurate but have limitations.
Area of Science:
- Population genetics
- Conservation biology
- Computational biology
Background:
- Direct genetic estimation of effective population sizes is challenging.
- Demographic models offer indirect estimates using life-history and mating-system data.
- Evaluating the accuracy of these demographic models is difficult.
Purpose of the Study:
- To assess the accuracy of two demographic models for estimating effective population sizes.
- To investigate the reliability of these models in hierarchical population structures.
- To identify conditions under which demographic models may be inaccurate.
Main Methods:
- Utilizing individual-based, genetically explicit computer simulations.
- Testing models across diverse mating systems and dispersal patterns.
- Analyzing the impact of F-statistics timing on estimates.
Main Results:
- Demographic models generally provide good effective size estimates across various scenarios.
- One model overestimates effective sizes in monogamous species with unbiased dispersal or suspected social substructure.
- The timing of F-statistics evaluation significantly impacts model accuracy.
Conclusions:
- Individual-based simulations are valuable for validating demographic models.
- Careful consideration of species' breeding systems and sampling timing is crucial for accurate effective size estimation.
- The applicability of specific demographic models depends on biological and sampling contexts.