The use of generalized additive models to examine relationships between environmental variables and commercial catch rates ...
No abstracts are to be cited without prior reference to the author.Generalized additive models (GAMs) have become an accepted method for assessing non-linear effects of factors on catch rates of commercial species. Catch data reported by the University of Massachusetts School for Marine Science and...
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| Format: | Conference Object |
| Language: | unknown |
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ASC 2010 - Theme session G
2024
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| Online Access: | https://dx.doi.org/10.17895/ices.pub.25069985 https://ices-library.figshare.com/articles/conference_contribution/The_use_of_generalized_additive_models_to_examine_relationships_between_environmental_variables_and_commercial_catch_rates/25069985 |
| Summary: | No abstracts are to be cited without prior reference to the author.Generalized additive models (GAMs) have become an accepted method for assessing non-linear effects of factors on catch rates of commercial species. Catch data reported by the University of Massachusetts School for Marine Science and Technology study fleet from 2006 to 2009 were standardized to catch per unit of effort for Atlantic cod (Gadus morhua), haddock (Melanogrammus aeglefinus), and windowpane flounder (Scophthalmus aquosus). GAMs were employed to determine how fluctuations in catch were influenced by environmental conditions. Explanatory variables included year, season, time of day, latitude, longitude, depth, and bottom temperature. Models were built with stepwise forward selection based on the Akaike information criterion value and deviance explained. Successive models were tested for significant differences with a Chi-square test. Results indicated that spatial variables described the majority of the explained deviance. Other ... |
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