Global Ecology and Conservation (Apr 2022)

Fish assemblage monitoring in Alberta’s Ells River: Baseline fish and habitat variability prior to major development

  • A.G. Wynia,
  • G.R. Tetreault,
  • T.W. Clark,
  • J.L. Cunningham,
  • E.J. Ussery,
  • M.E. McMaster

Journal volume & issue
Vol. 34
p. e02007

Abstract

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The collection of sentinel fish species for Environmental Effects Monitoring (EEM) has provided ancillary fish assemblage surveys on several tributaries in the Athabasca Oil Sands Region (AOSR) of Alberta, Canada over the last decade. Using available, comparable data we investigated baseline fish assemblage variability along the Ells River, a tributary of the Athabasca River experiencing increasing proximity to natural bitumen deposits and proposed mining development as it approaches confluence with the mainstem Athabasca. Transect-based electrofishing data from four sites surveyed in September 2013, 2014 and 2018 showed significant spatiotemporal variability in assemblages, where spatial variability was greatest in 2013 and temporal variability was observed in assemblages both upstream (2013–2014) and downstream (2014–2018) of proposed development. Habitat assessments in 2018 revealed significant relationships among pH, algae cover and site slope with fish assemblages of the same year. Due to the complementary nature of assemblage surveys, data challenges (changing methodologies, sampling effort, and limited ancillary physiochemical data) have presented limitations to the multivariate approach applied in the study. Moving forward, employing consistent methods for fish collections and fine-scale habitat assessments will improve the ability to correlate assemblage variability with changes in the physical environment. Ultimately, this will aid in developing potential triggers of change that may be attributed to or confound adjacent, expanding Oil Sands activities. These findings will also inform monitoring programs on the use of fish assemblages as indicators of change, potentially providing an alternative to existing biomonitoring approaches in small streams with small fish populations.

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