Comparing habitat use and mercury accumulation in Arctic Grayling (Thymallus arcticus) from two northern ecosystems

• Main Author: Lewis, Jonathon Brent
• Format: Master Thesis
• Language: English
• Published: University of Waterloo 2018
• Subjects: Arctic; Grayling; Mercury; Occupancy; habitat modelling; Arctic Grayling; Occupancy modelling; Stable isotopes; Barrenland; Mountain; Arctic trophic ecology; Little Nahanni River; Arctic grayling; Thymallus arcticus
• Online Access: http://hdl.handle.net/10012/13670

An improved understanding of the distribution and habitat requirements for mountain stream populations of Arctic Grayling (Thymallus arcticus) is necessary to assess their vulnerability to environmental stressors, establish thresholds for development activities, and evaluate population distribution trends over time. Life stage-specific habitat use may be a particularly sensitive indicator of environmental change, but baseline data is lacking, especially for young-of year (YOY) Arctic Grayling. Occupancy-based survey methods were used in the Little Nahanni River watershed in 2015 to quantify Arctic Grayling occupancy across the landscape. Data on a suite of associated habitat variables were also collected to explain YOY occupancy, and to relate to detection efficiency during field surveys, as detection efficiency is an often-neglected aspect of field sampling that affects our understanding of species-habitat relationships. Occupancy modelling has revealed that stream temperature (>8°C) and elevation (<1150 masl) best explain YOY occupancy in the Little Nahanni River. Increasing percent boulder substrate and percent riffle decreased the detection efficiency during surveys. By accounting for imperfect detection, my research helps to better quantify habitat that is important for a sensitive life stage of Arctic Grayling and establishes a baseline against which results from future monitoring efforts can be compared. Similar occupancy methods can be used by industry and regulatory organizations to increase standardization and efficiency of sampling in remote areas, and assess changes in Arctic Grayling distribution that may reflect changes in water quality and stream features. Abiotic and biotic habitat features can also affect bioaccumulation of contaminants, such as mercury, which have increased in remote northern regions since industrialization, bioaccumulating in fish tissues consumed by northerners. Given that mercury bioaccumulation is habitat-specific, differences in life history type and associated ...