Assessing the potential responses of 10 important fisheries species to a changing climate with machine learning and observational data across the province of Québec.

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Title: Assessing the potential responses of 10 important fisheries species to a changing climate with machine learning and observational data across the province of Québec.
Authors: Rodríguez, Marco A.1 (AUTHOR), Lemaire, Marine1,2 (AUTHOR), Fugère, Vincent1 (AUTHOR), Barrette, Marie-France3 (AUTHOR), Gagné, Stéphanie3 (AUTHOR), Leclerc, Véronique3 (AUTHOR), Morissette, Olivier3,4 (AUTHOR), Pouliot, Rémy3 (AUTHOR), St-Pierre, Annick2 (AUTHOR), Turgeon, Katrine5 (AUTHOR), Velghe, Katherine2 (AUTHOR), Guay, Jean-Christophe6 (AUTHOR), Beisner, Beatrix E.2 (AUTHOR) beisner.beatrix@uqam.ca
Source: Canadian Journal of Fisheries & Aquatic Sciences. 1/2/2025, Vol. 82, p1-15. 15p.
Database: Environment Complete
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An: 184529874
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  Data: <searchLink fieldCode="JN" term="%22Canadian+Journal+of+Fisheries+%26+Aquatic+Sciences%22">Canadian Journal of Fisheries & Aquatic Sciences</searchLink>. 1/2/2025, Vol. 82, p1-15. 15p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=184529874
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      – Type: doi
        Value: 10.1139/cjfas-2024-0042
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      – Code: eng
        Text: English
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        PageCount: 15
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      – TitleFull: Assessing the potential responses of 10 important fisheries species to a changing climate with machine learning and observational data across the province of Québec.
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              Text: 1/2/2025
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              Y: 2025
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