A model for estimating mortality of Atlantic salmon, Salmo salar , between spawning events
We developed a Bayesian hierarchical model to estimate annual mortality of repeat-spawning Atlantic salmon, Salmo salar, that distinguishes between mortality rates and the confounding effects of consecutive-year and alternate-year repeat-spawning strategies. The model provides annual estimates of tw...
Published in: | Canadian Journal of Fisheries and Aquatic Sciences |
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crcansciencepubl:10.1139/f2011-074 2023-12-17T10:27:20+01:00 A model for estimating mortality of Atlantic salmon, Salmo salar , between spawning events Hubley, P. Bradford Gibson, A. Jamie F. Jonsson, Bror 2011 http://dx.doi.org/10.1139/f2011-074 http://www.nrcresearchpress.com/doi/full-xml/10.1139/f2011-074 http://www.nrcresearchpress.com/doi/pdf/10.1139/f2011-074 en eng Canadian Science Publishing http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining Canadian Journal of Fisheries and Aquatic Sciences volume 68, issue 9, page 1635-1650 ISSN 0706-652X 1205-7533 Aquatic Science Ecology, Evolution, Behavior and Systematics journal-article 2011 crcansciencepubl https://doi.org/10.1139/f2011-074 2023-11-19T13:39:38Z We developed a Bayesian hierarchical model to estimate annual mortality of repeat-spawning Atlantic salmon, Salmo salar, that distinguishes between mortality rates and the confounding effects of consecutive-year and alternate-year repeat-spawning strategies. The model provides annual estimates of two mortality rates: mortality in the first year (Z1), a time period during which salmon are primarily in freshwater (staging, spawning, and overwintering) followed by a brief period at sea, and mortality in the second year (Z2) when salmon are predominantly at sea. When fit to data for the LaHave River (Nova Scotia, Canada) salmon population, Z1 showed an increasing trend throughout the time series, whereas Z2 also increased but in a single, stepwise manner. Once a time series of mortality rates was separated from the other life-history parameters, we were able to demonstrate how they could be used for examining the influence of environmental conditions by comparing the estimated mortality rate time series with the North Atlantic Oscillation Index (NAOI). This comparison uncovered a statistically significant correlation between the NAOI and the survival in the second year after spawning that would not have been evident had the mortality estimation model not been developed. Article in Journal/Newspaper Atlantic salmon North Atlantic North Atlantic oscillation Salmo salar Canadian Science Publishing (via Crossref) Canada Canadian Journal of Fisheries and Aquatic Sciences 68 9 1635 1650 |
institution |
Open Polar |
collection |
Canadian Science Publishing (via Crossref) |
op_collection_id |
crcansciencepubl |
language |
English |
topic |
Aquatic Science Ecology, Evolution, Behavior and Systematics |
spellingShingle |
Aquatic Science Ecology, Evolution, Behavior and Systematics Hubley, P. Bradford Gibson, A. Jamie F. A model for estimating mortality of Atlantic salmon, Salmo salar , between spawning events |
topic_facet |
Aquatic Science Ecology, Evolution, Behavior and Systematics |
description |
We developed a Bayesian hierarchical model to estimate annual mortality of repeat-spawning Atlantic salmon, Salmo salar, that distinguishes between mortality rates and the confounding effects of consecutive-year and alternate-year repeat-spawning strategies. The model provides annual estimates of two mortality rates: mortality in the first year (Z1), a time period during which salmon are primarily in freshwater (staging, spawning, and overwintering) followed by a brief period at sea, and mortality in the second year (Z2) when salmon are predominantly at sea. When fit to data for the LaHave River (Nova Scotia, Canada) salmon population, Z1 showed an increasing trend throughout the time series, whereas Z2 also increased but in a single, stepwise manner. Once a time series of mortality rates was separated from the other life-history parameters, we were able to demonstrate how they could be used for examining the influence of environmental conditions by comparing the estimated mortality rate time series with the North Atlantic Oscillation Index (NAOI). This comparison uncovered a statistically significant correlation between the NAOI and the survival in the second year after spawning that would not have been evident had the mortality estimation model not been developed. |
author2 |
Jonsson, Bror |
format |
Article in Journal/Newspaper |
author |
Hubley, P. Bradford Gibson, A. Jamie F. |
author_facet |
Hubley, P. Bradford Gibson, A. Jamie F. |
author_sort |
Hubley, P. Bradford |
title |
A model for estimating mortality of Atlantic salmon, Salmo salar , between spawning events |
title_short |
A model for estimating mortality of Atlantic salmon, Salmo salar , between spawning events |
title_full |
A model for estimating mortality of Atlantic salmon, Salmo salar , between spawning events |
title_fullStr |
A model for estimating mortality of Atlantic salmon, Salmo salar , between spawning events |
title_full_unstemmed |
A model for estimating mortality of Atlantic salmon, Salmo salar , between spawning events |
title_sort |
model for estimating mortality of atlantic salmon, salmo salar , between spawning events |
publisher |
Canadian Science Publishing |
publishDate |
2011 |
url |
http://dx.doi.org/10.1139/f2011-074 http://www.nrcresearchpress.com/doi/full-xml/10.1139/f2011-074 http://www.nrcresearchpress.com/doi/pdf/10.1139/f2011-074 |
geographic |
Canada |
geographic_facet |
Canada |
genre |
Atlantic salmon North Atlantic North Atlantic oscillation Salmo salar |
genre_facet |
Atlantic salmon North Atlantic North Atlantic oscillation Salmo salar |
op_source |
Canadian Journal of Fisheries and Aquatic Sciences volume 68, issue 9, page 1635-1650 ISSN 0706-652X 1205-7533 |
op_rights |
http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining |
op_doi |
https://doi.org/10.1139/f2011-074 |
container_title |
Canadian Journal of Fisheries and Aquatic Sciences |
container_volume |
68 |
container_issue |
9 |
container_start_page |
1635 |
op_container_end_page |
1650 |
_version_ |
1785579174958727168 |