Development and validation of numerical habitat models for juveniles of Atlantic salmon ( Salmo salar)
We evaluated the ability of numerical habitat models (NHM) to predict the distribution of juveniles of Atlantic 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 fis...
Published in: | Canadian Journal of Fisheries and Aquatic Sciences |
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crcansciencepubl:10.1139/f00-162 2024-09-30T14:32:21+00:00 Development and validation of numerical habitat models for juveniles of Atlantic salmon ( Salmo salar) Guay, J C Boisclair, D Rioux, D Leclerc, M Lapointe, M Legendre, P 2000 http://dx.doi.org/10.1139/f00-162 http://www.nrcresearchpress.com/doi/pdf/10.1139/f00-162 en eng Canadian Science Publishing http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining Canadian Journal of Fisheries and Aquatic Sciences volume 57, issue 10, page 2065-2075 ISSN 0706-652X 1205-7533 journal-article 2000 crcansciencepubl https://doi.org/10.1139/f00-162 2024-09-19T04:09:50Z We evaluated the ability of numerical habitat models (NHM) to predict the distribution of juveniles of Atlantic 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 between 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 probability of observing a parr under given physical conditions. Pearson's correlation coefficients between HSI and local densities 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. Article in Journal/Newspaper Atlantic salmon Salmo salar Canadian Science Publishing Canadian Journal of Fisheries and Aquatic Sciences 57 10 2065 2075 |
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Open Polar |
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Canadian Science Publishing |
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crcansciencepubl |
language |
English |
description |
We evaluated the ability of numerical habitat models (NHM) to predict the distribution of juveniles of Atlantic 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 between 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 probability of observing a parr under given physical conditions. Pearson's correlation coefficients between HSI and local densities 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. |
format |
Article in Journal/Newspaper |
author |
Guay, J C Boisclair, D Rioux, D Leclerc, M Lapointe, M Legendre, P |
spellingShingle |
Guay, J C Boisclair, D Rioux, D Leclerc, M Lapointe, M Legendre, P Development and validation of numerical habitat models for juveniles of Atlantic salmon ( Salmo salar) |
author_facet |
Guay, J C Boisclair, D Rioux, D Leclerc, M Lapointe, M Legendre, P |
author_sort |
Guay, J C |
title |
Development and validation of numerical habitat models for juveniles of Atlantic salmon ( Salmo salar) |
title_short |
Development and validation of numerical habitat models for juveniles of Atlantic salmon ( Salmo salar) |
title_full |
Development and validation of numerical habitat models for juveniles of Atlantic salmon ( Salmo salar) |
title_fullStr |
Development and validation of numerical habitat models for juveniles of Atlantic salmon ( Salmo salar) |
title_full_unstemmed |
Development and validation of numerical habitat models for juveniles of Atlantic salmon ( Salmo salar) |
title_sort |
development and validation of numerical habitat models for juveniles of atlantic salmon ( salmo salar) |
publisher |
Canadian Science Publishing |
publishDate |
2000 |
url |
http://dx.doi.org/10.1139/f00-162 http://www.nrcresearchpress.com/doi/pdf/10.1139/f00-162 |
genre |
Atlantic salmon Salmo salar |
genre_facet |
Atlantic salmon Salmo salar |
op_source |
Canadian Journal of Fisheries and Aquatic Sciences volume 57, issue 10, page 2065-2075 ISSN 0706-652X 1205-7533 |
op_rights |
http://www.nrcresearchpress.com/page/about/CorporateTextAndDataMining |
op_doi |
https://doi.org/10.1139/f00-162 |
container_title |
Canadian Journal of Fisheries and Aquatic Sciences |
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57 |
container_issue |
10 |
container_start_page |
2065 |
op_container_end_page |
2075 |
_version_ |
1811636530650808320 |