Related Experiment Video
Updated: Jun 1, 2026

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling
Published on: July 4, 2007
COMPUTER PROGRAMS: onesamp: a program to estimate effective population size using approximate Bayesian computation
David A Tallmon1, Ally Koyuk, Gordon Luikart
1Biology Program, University of Alaska Southeast, 11120 Glacier Highway, Juneau, AK 99801, USA, Division of Biological Sciences, DBS/HS 104, University of Montana, 32 Campus Drive, Missoula, MT 59812, USA, School of Animal and Microbial Sciences, University of Reading, Whiteknights, Reading RG6 6AJ, UK.
Abstract:
The estimation of effective population size from one sample of genotypes has been problematic because most estimators have been proven imprecise or biased. We developed a web-based program, onesamp that uses approximate Bayesian computation to estimate effective population size from a sample of microsatellite genotypes. onesamp requires an input file of sampled individuals' microsatellite genotypes along with information about several sampling and biological parameters. onesamp provides an estimate of effective population size, along with 95% credible limits. We illustrate the use of onesamp with an example data set from a re-introduced population of ibex Capra ibex.
Related Concept Videos
Distributions to Estimate Population Parameter
Population Growth
Estimating Population Standard Deviation
Conservation of Small Populations
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation
On...

