Considering sampling bias in close‐kin mark–recapture abundance estimates of Atlantic salmon
Genetic methods for the estimation of population size can be powerful alternatives to conventional methods. Close‐kin mark–recapture (CKMR) is based on the principles of conventional mark–recapture, but instead of being physically marked, individuals are marked through their close kin. The aim of th...
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ftpubmed:oai:pubmedcentral.nih.gov:8093659 2023-05-15T15:31:16+02:00 Considering sampling bias in close‐kin mark–recapture abundance estimates of Atlantic salmon Wacker, Sebastian Skaug, Hans J. Forseth, Torbjørn Solem, Øyvind Ulvan, Eva M. Fiske, Peder Karlsson, Sten 2021-04-06 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8093659/ http://www.ncbi.nlm.nih.gov/pubmed/33976784 https://doi.org/10.1002/ece3.7279 en eng John Wiley and Sons Inc. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8093659/ http://www.ncbi.nlm.nih.gov/pubmed/33976784 http://dx.doi.org/10.1002/ece3.7279 © 2021 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. CC-BY Ecol Evol Original Research Text 2021 ftpubmed https://doi.org/10.1002/ece3.7279 2021-05-16T00:30:51Z Genetic methods for the estimation of population size can be powerful alternatives to conventional methods. Close‐kin mark–recapture (CKMR) is based on the principles of conventional mark–recapture, but instead of being physically marked, individuals are marked through their close kin. The aim of this study was to evaluate the potential of CKMR for the estimation of spawner abundance in Atlantic salmon and how age, sex, spatial, and temporal sampling bias may affect CKMR estimates. Spawner abundance in a wild population was estimated from genetic samples of adults returning in 2018 and of their potential offspring collected in 2019. Adult samples were obtained in two ways. First, adults were sampled and released alive in the breeding habitat during spawning surveys. Second, genetic samples were collected from out‐migrating smolts PIT‐tagged in 2017 and registered when returning as adults in 2018. CKMR estimates based on adult samples collected during spawning surveys were somewhat higher than conventional counts. Uncertainty was small (CV < 0.15), due to the detection of a high number of parent–offspring pairs. Sampling of adults was age‐ and size‐biased and correction for those biases resulted in moderate changes in the CKMR estimate. Juvenile dispersal was limited, but spatially balanced sampling of adults rendered CKMR estimates robust to spatially biased sampling of juveniles. CKMR estimates based on returning PIT‐tagged adults were approximately twice as high as estimates based on samples collected during spawning surveys. We suggest that estimates based on PIT‐tagged fish reflect the total abundance of adults entering the river, while estimates based on samples collected during spawning surveys reflect the abundance of adults present in the breeding habitat at the time of spawning. Our study showed that CKMR can be used to estimate spawner abundance in Atlantic salmon, with a moderate sampling effort, but a carefully designed sampling regime is required. Text Atlantic salmon PubMed Central (PMC) Ecology and Evolution 11 9 3917 3932 |
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Original Research Wacker, Sebastian Skaug, Hans J. Forseth, Torbjørn Solem, Øyvind Ulvan, Eva M. Fiske, Peder Karlsson, Sten Considering sampling bias in close‐kin mark–recapture abundance estimates of Atlantic salmon |
topic_facet |
Original Research |
description |
Genetic methods for the estimation of population size can be powerful alternatives to conventional methods. Close‐kin mark–recapture (CKMR) is based on the principles of conventional mark–recapture, but instead of being physically marked, individuals are marked through their close kin. The aim of this study was to evaluate the potential of CKMR for the estimation of spawner abundance in Atlantic salmon and how age, sex, spatial, and temporal sampling bias may affect CKMR estimates. Spawner abundance in a wild population was estimated from genetic samples of adults returning in 2018 and of their potential offspring collected in 2019. Adult samples were obtained in two ways. First, adults were sampled and released alive in the breeding habitat during spawning surveys. Second, genetic samples were collected from out‐migrating smolts PIT‐tagged in 2017 and registered when returning as adults in 2018. CKMR estimates based on adult samples collected during spawning surveys were somewhat higher than conventional counts. Uncertainty was small (CV < 0.15), due to the detection of a high number of parent–offspring pairs. Sampling of adults was age‐ and size‐biased and correction for those biases resulted in moderate changes in the CKMR estimate. Juvenile dispersal was limited, but spatially balanced sampling of adults rendered CKMR estimates robust to spatially biased sampling of juveniles. CKMR estimates based on returning PIT‐tagged adults were approximately twice as high as estimates based on samples collected during spawning surveys. We suggest that estimates based on PIT‐tagged fish reflect the total abundance of adults entering the river, while estimates based on samples collected during spawning surveys reflect the abundance of adults present in the breeding habitat at the time of spawning. Our study showed that CKMR can be used to estimate spawner abundance in Atlantic salmon, with a moderate sampling effort, but a carefully designed sampling regime is required. |
format |
Text |
author |
Wacker, Sebastian Skaug, Hans J. Forseth, Torbjørn Solem, Øyvind Ulvan, Eva M. Fiske, Peder Karlsson, Sten |
author_facet |
Wacker, Sebastian Skaug, Hans J. Forseth, Torbjørn Solem, Øyvind Ulvan, Eva M. Fiske, Peder Karlsson, Sten |
author_sort |
Wacker, Sebastian |
title |
Considering sampling bias in close‐kin mark–recapture abundance estimates of Atlantic salmon |
title_short |
Considering sampling bias in close‐kin mark–recapture abundance estimates of Atlantic salmon |
title_full |
Considering sampling bias in close‐kin mark–recapture abundance estimates of Atlantic salmon |
title_fullStr |
Considering sampling bias in close‐kin mark–recapture abundance estimates of Atlantic salmon |
title_full_unstemmed |
Considering sampling bias in close‐kin mark–recapture abundance estimates of Atlantic salmon |
title_sort |
considering sampling bias in close‐kin mark–recapture abundance estimates of atlantic salmon |
publisher |
John Wiley and Sons Inc. |
publishDate |
2021 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8093659/ http://www.ncbi.nlm.nih.gov/pubmed/33976784 https://doi.org/10.1002/ece3.7279 |
genre |
Atlantic salmon |
genre_facet |
Atlantic salmon |
op_source |
Ecol Evol |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8093659/ http://www.ncbi.nlm.nih.gov/pubmed/33976784 http://dx.doi.org/10.1002/ece3.7279 |
op_rights |
© 2021 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1002/ece3.7279 |
container_title |
Ecology and Evolution |
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11 |
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9 |
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3917 |
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3932 |
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1766361752949227520 |