Premium
Distribution patterns of P acific halibut ( Hippoglossus stenolepis ) in relation to environmental variables along the continental shelf waters of the US W est C oast and southern B ritish C olumbia
Author(s) -
Sadorus Lauri L.,
Mantua Nathan J.,
Essington Timothy,
Hickey Barbara,
Hare Steven
Publication year - 2014
Publication title -
fisheries oceanography
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.016
H-Index - 80
eISSN - 1365-2419
pISSN - 1054-6006
DOI - 10.1111/fog.12057
Subject(s) - halibut , salinity , generalized additive model , fishery , oceanography , pleuronectidae , geography , environmental science , statistics , geology , biology , mathematics , fish <actinopterygii> , flounder
Knowing how P acific halibut ( H ippoglossus stenolepis ) distribute in relation to ocean conditions is of primary importance to halibut managers, as they are tasked with estimating stock size and designing effective monitoring programs amidst a changing climate. This research examined near‐bottom environmental data alongside halibut survey catch data for the years 2006–2009 on the continental shelf of O regon, W ashington, and southern B ritish C olumbia. The objectives of the research were to: (1) characterize summer environmental conditions and halibut distribution; (2) explore ranges and possible tolerance thresholds for halibut in relation to temperature, dissolved oxygen ( DO ), salinity, and pH ; and (3) identify the primary environmental factors affecting distribution of halibut and model the observed relationships. Seasonal hypoxia is an annual feature of the study area and results suggest halibut exhibited an apparent DO minimum threshold of 0.9 mL L −1 . Ordinary least squares multiple regression analysis indicated that depth, temperature, and DO were significant variables in predicting halibut distribution, whereas salinity and bottom type were not. Ambiguity in model results led to the use of two additional analytical methods, geographically weighted regression ( GWR ) and tree regression, to examine regional variation and the overarching structure of halibut distribution. The three models yielded similar results indicating the importance of DO and temperature as variables describing structure. The GWR model yielded the best fit of the three when using DO as a predictor variable, indicating that regional variation is a factor. These results suggest that low, but above‐threshold, DO may be contributing to catchability differences in the survey.