Bayesian mark-recapture estimation with an application to a salmonid smolt population

@article{Mntyniemi2002BayesianME,
  title={Bayesian mark-recapture estimation with an application to a salmonid smolt population},
  author={Samu M{\"a}ntyniemi and Atso Romakkaniemi},
  journal={Canadian Journal of Fisheries and Aquatic Sciences},
  year={2002},
  volume={59},
  pages={1748-1758}
}
We developed a Bayesian probability model for mark–recapture data. Three alternative versions of the model were applied to two sets of data on the abundance of migrating Atlantic salmon (Salmo sala... 

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References

SHOWING 1-10 OF 40 REFERENCES
Mark-recapture estimation of a salmon smolt population.
TLDR
A model where parameters are introduced to describe the mean time for the salmon to migrate between the release site and recapture site and the probability of capture on a particular date is developed, which is used to expand the number of untagged smolts captured to estimate the daily run sizes.
The estimation of animal abundance and related parameters
The author, one of the world's leading experts in the study of animal populations, explains in detail the methods developed by ecologists for estimating animal numbers and related parameters such as
Using Partial Counting Fences and a Two‐Sample Stratified Design for Mark–Recapture Estimation of an Atlantic Salmon Smolt Population
Abstract A mark-recapture experiment was conducted in which a two-sample stratified design was used in estimating the number of Atlantic salmon Salmo salarmigrating as smolts out of the Conne River,
Capture—recapture estimation via Gibbs sampling
Capture-recapture models are widely used in the estimation of population sizes. Based on data augmentation considerations, we show how Gibbs sampling can be applied to calculate Bayes estimates in
Estimating Animal Abundance: Review III
The literature describing methods for estimating animal abundance and related parameters continues to grow. This paper reviews recent developments in the subject over the past seven years and updates
A Bayesian analysis of multiple-recapture sampling for a closed population
SUMMARY This paper considers from a Bayesian viewpoint inferences about the size of a closed animal population from data obtained by a multiple-recapture sampling scheme. The method developed enables
Migration of Atlantic Salmon Smolts in River Orkla of Central Norway in Relation to Management of a Hydroelectric Station
TLDR
The migration pattern of Atlantic salmon (Salmo salar) smolts in River Orkla, central Norway, was studied in 1980 and 1981 before construction of a hydroelectric plant was finished in 1983 to show a predominantly nocturnal migration pattern.
Population Estimation from Mark‐Recapture Experiments Using a Sequential Bayes Algorithm
TLDR
A sequential Bayes computational algorithm, suitable for microcomputers, is given and a plot of successive posterior distributions can be used as a visual diagnostic of conformity with basic assumptions.
Bayesian stock assessment: a review and example application using the logistic model
Bayesian statistical methods have recently been combined with conventional methods for fisheries stock assessment (e.g. catch-age analysis) to provide a conceptually elegant approach for providing
...
1
2
3
4
...