T-306B-10
Detection Probability of Spotted Gar in Canada, Based on Gear Type

Tuesday, August 19, 2014: 1:30 PM
306B (Centre des congrès de Québec // Québec City Convention Centre)
William Glass , Great Lakes Laboratory for Fisheries and Aquatic Science, Fisheries and Oceans Canada, Burlington, ON, Canada
Nicholas E. Mandrak , Ecology & Evolutionary Biology, University of Toronto, Toronto, ON, Canada
Species at Risk, by definition, are rare and often difficult to detect in a system with traditional field sampling methods.  Knowledge of the presence, or absence, of Species at Risk in a system, or area may be important for the designation of critical habitat and in areas where development is proposed.  An accurate estimation of the amount of sampling effort required to detect the presence of the species in question is required for optimal study design.  The sampling effort required to detect the presence of Spotted Gar (Lepisosteus oculatus) was estimated based on occupancy modelling and detection probability by gear type, and sampling methodology.  Sampling data from three locations with known Spotted Gar populations in Canada, using two different gear types, was analyzed.  Fine-mesh fyke nets were most effective at capturing Spotted Gar, though time of year that sampling was conducted was also a factor in successfully detecting the species.  The results of this study will be used to make informed decisions on the design of sampling protocols to confirm the presence of unknown Spotted Gar populations in potential locations the species may exist in Canada.