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• W2336947498 abstract "We evaluated the ability of numerical habitat models (NHM) to predict the distribution of juveniles of Atlan - tic salmon (Salmo salar) in a river. NHMs comprise a hydrodynamic model (to predict water depth and current speed for any given flow) and a biological model (to predict habitat quality for fish using water depth, current speed, and substrate composition). We implemented NHMs with a biological model based on (i) preference curves defined by the ratio of the use to the availability of physical conditions and ( ii) a multivariate logistic regression that distinguished be - tween the physical conditions used and avoided by fish. Preference curves provided a habitat suitability index (HSI) ranging from 0 to 1, and the logistic regression produced a habitat probabilistic index (HPI) representing the probabil - ity of observing a parr under given physical conditions. Pearson's correlation coefficients between HSI and local densi - ties of parr ranged from 0.39 to 0.63 depending on flow. Corresponding values for HPI ranged from 0.81 to 0.98. We concluded that HPI may be a more powerful biological model than HSI for predicting local variations in fish density, forecasting fish distribution patterns, and performing summer habitat modelling for Atlantic salmon juveniles. Resume : Nous avons evalue la capacite de deux modeles numeriques d'habitat (MNH) a predire la distribution spa- tiale des juveniles de saumon atlantique (Salmo salar) en riviere. Les MNH comprennent un modele hydrodynamique (pour predire la vitesse moyenne et la profondeur de la colonne d'eau) et un modele biologique (pour predire la qualite d'habitat piscicole selon la profondeur, la vitesse moyenne et la composition du substrat). Nous avons utilise les MNH avec un modele biologique base sur (i) des courbes de preferences definies par le rapport entre l'utilisation et la dispo- nibilite de conditions physiques et (ii) une regression logistique multiple permettant de differencier les conditions phy- siques utilisees de celles evitees par les tacons. Les courbes de preferences ont fourni un indice de qualite d'habitat (IQH) variant entre 0 et 1 et la regression logistique a donne un indice probabiliste de qualite d'habitat (IPH) represen- tant la probabilite d'observer des tacons sous des conditions physiques specifiques. Les coefficients de correlation de Pearson entre IQH et les densites locales de tacons ont varie entre 0,39 et 0,63 selon le debit. Les valeurs correspon- dantes en utilisant IPH ont varie entre 0,81 et 0,98. Nous avons conclu que l'IPH peut etre un modele biologique plus performant que l'IQH pour predire les variations locales de la densite des poissons, pour predire les patrons de distri - bution des poissons et pour modeliser l'habitat estival des juveniles du saumon atlantique." @default.
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• W2336947498 date "2000-01-01" @default.
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• W2336947498 title "Development and validation of numerical habitat models for juveniles of Atlantic salmon" @default.
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