A potential growth thermal index for estimating juvenile Atlantic salmon (Salmo salar) size‐at‐age across geographical scales

Author:

Ouellet‐Proulx Sébastien12,Daigle Anik13,St‐Hilaire André1,Gillis Carole‐Anne4,Linnansaari Tommi5,Dauphin Guillaume6,Bergeron Normand Émile1ORCID

Affiliation:

1. Eau Terre Environnement, Institut national de la recherche scientifique Québec City Québec Canada

2. Direction de la gestion intégrée de l'eau, Ministère de l'environnement et de la lutte contre les changements climatiques Québec City Québec Canada

3. CÉGEP Garneau Québec City Québec Canada

4. Gespe'gewa'gi Institute of Natural Understanding (GINU) Listuguj Québec Canada

5. Forestry and Environmental Management University of New‐Brunswick Fredericton New Brunswick Canada

6. Diadromous Fish Section, Department of Fisheries and Oceans Canada Moncton New Brunswick Canada

Abstract

AbstractWe present a potential growth thermal index (PGTI) and assess its correlation with juvenile Atlantic salmon Salmo salar fork length data collected near the end of the growth season in a range of latitudinal locations and geographic scales (watershed, regional, continental) across the American north‐east. The PGTI is based on two components: a water temperature‐dependent growth curve and a water temperature time series continuously describing the thermal environment preceding fish sampling. Testing various shapes and characteristics of the temperature–growth curve against fish length data revealed strong positive correlations for all combinations. PGTI warming, calculated only from the beginning of the growth season until maximum summer temperature is reached, consistently performed well in explaining fish size‐at‐age across the latitudinal gradient and the three geographic scales that were considered. Varying thermal contrasts created by repeat subsampling of the dataset showed that fish length is better explained by the level of thermal contrast within the dataset than the geographical scale of analysis. A simple generalized linear model using a log link function with PGTI warming, fish density and water discharge as predictors explained 87% of the variance of size‐at‐age of 0+ and 1+ juvenile Atlantic salmon.

Publisher

Wiley

Subject

Aquatic Science,Ecology, Evolution, Behavior and Systematics

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