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Mark-Recapture Estimation of a Salmon Smolt Population

Authors: C J, Schwarz; J B, Dempson;

Mark-Recapture Estimation of a Salmon Smolt Population

Abstract

A mark-recapture experiment was conducted applying a two-sample stratified technique to estimate the number of Atlantic salmon smolts, Salmo salar, migrating out of the Conne River, Newfoundland. We developed a model where parameters are introduced to describe the mean time for the salmon to migrate between the release site and recapture site and to describe the probability of capture on a particular date. The latter are then used to expand the number of untagged smolts captured to estimate the daily run sizes. We discuss the advantages of this new approach over other models. For example, this formulation allows great flexibility in the experimental design, is robust to violations of assumptions, and allows the influence of environmental factors upon the parameters to be investigated.

Related Organizations
Keywords

Population Density, Stochastic Processes, Models, Statistical, Salmo salar, Animals, Animal Migration

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
30
Top 10%
Top 10%
Average
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