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Published on: July 30, 2019
Temporal Variability in Effective Size ( ) Identifies Potential Sources of Discrepancies Between Mark Recapture and
Daniel E Ruzzante1, Gregory R McCracken1, Dylan J Fraser2
1Department of Biology, Dalhousie University, Halifax, Nova Scotia, Canada.
Estimating wild population sizes requires multiple years of data, as annual effective population size can fluctuate significantly. A minimum of 3-4 years of data is recommended for representative estimates in small populations.
Area of Science:
- Population genetics
- Ecology
- Conservation biology
Background:
- Estimating effective population size (Ne) and census size (N) is crucial for understanding wild populations.
- Few studies examine interannual variations in Ne and N, limiting our understanding of estimate repeatability and representativeness.
Purpose of the Study:
- To investigate the interannual variation in effective population size (Ne) and census size (N) in brook trout populations.
- To assess the representativeness of single-year estimates for long-term population dynamics.
- To compare mark-recapture and close-kin mark-recapture methods for estimating N.
Main Methods:
- Genotyping 5400 brook trout individuals across 7 populations over 5 years using 33 microsatellites.
- Estimating effective number of breeders (Nb) and effective population size (Ne) using genetic data.
- Estimating census size (N) via mark-recapture (electrofishing) and close-kin mark-recapture (CKMR).
Main Results:
- Annual Ne varied substantially (1.6- to 58-fold) within populations, with a median variation of 5-fold across all populations.
- Estimated Ne varied nearly twice as much as estimated N annually.
- Mark-recapture and CKMR estimates of N agreed for most populations, except where high Ne/N variation suggested insufficient sampling.
Conclusions:
- Single-year estimates of Ne are likely unrepresentative of long-term dynamics in small wild populations.
- At least 3-4 annual estimates are needed for a representative contemporary Ne.
- CKMR is a validated method for abundance estimation, and temporal Ne variation can explain discrepancies between N estimation methods.
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