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The impact of a changing winter climate on the hatch phenology of one of North America’s largest Atlantic salmon populations

In northern temperate regions, some of the most dramatic effects of climate change are expected during the winter. Understanding how changing winter climates influence the seasonal timing of key life events is critical for implementing effective conservation strategies, especially for poikilotherms,...

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Autores principales: Rooke, Anna C, Palm-Flawd, Brittany, Purchase, Craig F
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6518925/
https://www.ncbi.nlm.nih.gov/pubmed/31110765
http://dx.doi.org/10.1093/conphys/coz015
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author Rooke, Anna C
Palm-Flawd, Brittany
Purchase, Craig F
author_facet Rooke, Anna C
Palm-Flawd, Brittany
Purchase, Craig F
author_sort Rooke, Anna C
collection PubMed
description In northern temperate regions, some of the most dramatic effects of climate change are expected during the winter. Understanding how changing winter climates influence the seasonal timing of key life events is critical for implementing effective conservation strategies, especially for poikilotherms, whose physiology and development are particularly sensitive to changes in thermal environment. Four mathematical models are available to predict the timing of hatch and emergence in Atlantic salmon (Salmo salar); however, such models are only useful if the effect of temperature is both repeatable within and among maternal families, and predictable across variable temperature regimes. Using a split-brood experiment, we found the timing of hatch to be repeatable and predictable in Atlantic salmon from the Exploits River, one of the largest remaining wild populations in North America. Three of the available mathematical models under-estimated the timing of hatch by an average of 21–26 accumulated thermal units (ATU); however, we identified one model that provided reasonable estimates of hatch timing (average under-estimate 7 ATU) under the three incubation temperature regimes we tested. We applied this model to daily water temperature profiles from 2006–18 at four sites within the Exploits River watershed. Across all years and sites, the predicted dates at 50% hatch ranged between 8 March and 23 May, while predicted dates of 50% emergence ranged from 11 May to 13 June. By identifying the seasonal timing of these particularly vulnerable early life stages, this model can aid the implementation of conservation efforts for this ecologically and economically important population.
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spelling pubmed-65189252019-05-20 The impact of a changing winter climate on the hatch phenology of one of North America’s largest Atlantic salmon populations Rooke, Anna C Palm-Flawd, Brittany Purchase, Craig F Conserv Physiol Research Article In northern temperate regions, some of the most dramatic effects of climate change are expected during the winter. Understanding how changing winter climates influence the seasonal timing of key life events is critical for implementing effective conservation strategies, especially for poikilotherms, whose physiology and development are particularly sensitive to changes in thermal environment. Four mathematical models are available to predict the timing of hatch and emergence in Atlantic salmon (Salmo salar); however, such models are only useful if the effect of temperature is both repeatable within and among maternal families, and predictable across variable temperature regimes. Using a split-brood experiment, we found the timing of hatch to be repeatable and predictable in Atlantic salmon from the Exploits River, one of the largest remaining wild populations in North America. Three of the available mathematical models under-estimated the timing of hatch by an average of 21–26 accumulated thermal units (ATU); however, we identified one model that provided reasonable estimates of hatch timing (average under-estimate 7 ATU) under the three incubation temperature regimes we tested. We applied this model to daily water temperature profiles from 2006–18 at four sites within the Exploits River watershed. Across all years and sites, the predicted dates at 50% hatch ranged between 8 March and 23 May, while predicted dates of 50% emergence ranged from 11 May to 13 June. By identifying the seasonal timing of these particularly vulnerable early life stages, this model can aid the implementation of conservation efforts for this ecologically and economically important population. Oxford University Press 2019-05-15 /pmc/articles/PMC6518925/ /pubmed/31110765 http://dx.doi.org/10.1093/conphys/coz015 Text en © The Author(s) 2019. Published by Oxford University Press and the Society for Experimental Biology. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Rooke, Anna C
Palm-Flawd, Brittany
Purchase, Craig F
The impact of a changing winter climate on the hatch phenology of one of North America’s largest Atlantic salmon populations
title The impact of a changing winter climate on the hatch phenology of one of North America’s largest Atlantic salmon populations
title_full The impact of a changing winter climate on the hatch phenology of one of North America’s largest Atlantic salmon populations
title_fullStr The impact of a changing winter climate on the hatch phenology of one of North America’s largest Atlantic salmon populations
title_full_unstemmed The impact of a changing winter climate on the hatch phenology of one of North America’s largest Atlantic salmon populations
title_short The impact of a changing winter climate on the hatch phenology of one of North America’s largest Atlantic salmon populations
title_sort impact of a changing winter climate on the hatch phenology of one of north america’s largest atlantic salmon populations
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6518925/
https://www.ncbi.nlm.nih.gov/pubmed/31110765
http://dx.doi.org/10.1093/conphys/coz015
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