Using redd counts to estimate salmonids spawner abundances: A Bayesian modelling approach

Redd (nest) counts are widely used for monitoring salmonid populations. Because of their relative low cost, redd counts allow a good spatial coverage over a long period of time. In this paper we develop a generic Bayesian hierarchical model relating Atlantic salmon, Salmo salar L. spawner abundance...

Full description

Bibliographic Details
Published in:Fisheries Research
Main Authors: Dauphin, G., Prévost, E., Adams, C.E., Boylan, P.
Format: Article in Journal/Newspaper
Language:unknown
Published: 2010
Subjects:
Online Access:https://eprints.gla.ac.uk/48698/
https://doi.org/10.1016/j.fishres.2010.06.014
id ftuglasgow:oai:eprints.gla.ac.uk:48698
record_format openpolar
spelling ftuglasgow:oai:eprints.gla.ac.uk:48698 2023-05-15T15:32:25+02:00 Using redd counts to estimate salmonids spawner abundances: A Bayesian modelling approach Dauphin, G. Prévost, E. Adams, C.E. Boylan, P. 2010 https://eprints.gla.ac.uk/48698/ https://doi.org/10.1016/j.fishres.2010.06.014 unknown Dauphin, G., Prévost, E., Adams, C.E. <http://eprints.gla.ac.uk/view/author/2983.html> and Boylan, P. (2010) Using redd counts to estimate salmonids spawner abundances: A Bayesian modelling approach. Fisheries Research <https://eprints.gla.ac.uk/view/journal_volume/Fisheries_Research.html>, 106(1), pp. 32-40. (doi:10.1016/j.fishres.2010.06.014 <https://doi.org/10.1016/j.fishres.2010.06.014>) Articles PeerReviewed 2010 ftuglasgow https://doi.org/10.1016/j.fishres.2010.06.014 2022-09-22T22:10:28Z Redd (nest) counts are widely used for monitoring salmonid populations. Because of their relative low cost, redd counts allow a good spatial coverage over a long period of time. In this paper we develop a generic Bayesian hierarchical model relating Atlantic salmon, Salmo salar L. spawner abundance and redd counts which accounts for the associated sources of uncertainty. Three rivers of a large catchment are considered and variability across these rivers in the spawners to redds relationship is taken in account. We use short time series, where data on both redds and spawner numbers are available to estimate the parameters of the relationship. We then use the same relationship to estimate spawner abundances for a longer time series with only redd counts available. It is concluded from this exercise that redd counts can be a valuable source of information for monitoring spawning abundances of salmonids and should not be dismissed a priori. However, the uncertainty of spawner abundance estimates derived from redd count data alone may be large and therefore must be assessed. Ancillary data informing the redd counting process can provide great improvements in the precision of the abundance estimates. Article in Journal/Newspaper Atlantic salmon Salmo salar University of Glasgow: Enlighten - Publications Fisheries Research 106 1 32 40
institution Open Polar
collection University of Glasgow: Enlighten - Publications
op_collection_id ftuglasgow
language unknown
description Redd (nest) counts are widely used for monitoring salmonid populations. Because of their relative low cost, redd counts allow a good spatial coverage over a long period of time. In this paper we develop a generic Bayesian hierarchical model relating Atlantic salmon, Salmo salar L. spawner abundance and redd counts which accounts for the associated sources of uncertainty. Three rivers of a large catchment are considered and variability across these rivers in the spawners to redds relationship is taken in account. We use short time series, where data on both redds and spawner numbers are available to estimate the parameters of the relationship. We then use the same relationship to estimate spawner abundances for a longer time series with only redd counts available. It is concluded from this exercise that redd counts can be a valuable source of information for monitoring spawning abundances of salmonids and should not be dismissed a priori. However, the uncertainty of spawner abundance estimates derived from redd count data alone may be large and therefore must be assessed. Ancillary data informing the redd counting process can provide great improvements in the precision of the abundance estimates.
format Article in Journal/Newspaper
author Dauphin, G.
Prévost, E.
Adams, C.E.
Boylan, P.
spellingShingle Dauphin, G.
Prévost, E.
Adams, C.E.
Boylan, P.
Using redd counts to estimate salmonids spawner abundances: A Bayesian modelling approach
author_facet Dauphin, G.
Prévost, E.
Adams, C.E.
Boylan, P.
author_sort Dauphin, G.
title Using redd counts to estimate salmonids spawner abundances: A Bayesian modelling approach
title_short Using redd counts to estimate salmonids spawner abundances: A Bayesian modelling approach
title_full Using redd counts to estimate salmonids spawner abundances: A Bayesian modelling approach
title_fullStr Using redd counts to estimate salmonids spawner abundances: A Bayesian modelling approach
title_full_unstemmed Using redd counts to estimate salmonids spawner abundances: A Bayesian modelling approach
title_sort using redd counts to estimate salmonids spawner abundances: a bayesian modelling approach
publishDate 2010
url https://eprints.gla.ac.uk/48698/
https://doi.org/10.1016/j.fishres.2010.06.014
genre Atlantic salmon
Salmo salar
genre_facet Atlantic salmon
Salmo salar
op_relation Dauphin, G., Prévost, E., Adams, C.E. <http://eprints.gla.ac.uk/view/author/2983.html> and Boylan, P. (2010) Using redd counts to estimate salmonids spawner abundances: A Bayesian modelling approach. Fisheries Research <https://eprints.gla.ac.uk/view/journal_volume/Fisheries_Research.html>, 106(1), pp. 32-40. (doi:10.1016/j.fishres.2010.06.014 <https://doi.org/10.1016/j.fishres.2010.06.014>)
op_doi https://doi.org/10.1016/j.fishres.2010.06.014
container_title Fisheries Research
container_volume 106
container_issue 1
container_start_page 32
op_container_end_page 40
_version_ 1766362918921699328