2023 Early Hearing Detection & Intervention Conference
March 5-7, 2023 • Cincinnati, OH
5/22/2018 | 11:15 AM - 11:30 AM | SASKATCHEWAN CONDITION ASSESSMENT OF LOTIC ECOSYSTEMS (SCALE): A MULTIVARIATE TOOL FOR ASSESSING THE INTEGRITY OF NORTHERN GREAT PLAINS WADEABLE RIVERS | 330 A
SASKATCHEWAN CONDITION ASSESSMENT OF LOTIC ECOSYSTEMS (SCALE): A MULTIVARIATE TOOL FOR ASSESSING THE INTEGRITY OF NORTHERN GREAT PLAINS WADEABLE RIVERS
Lotic ecosystems in the Northern Great Plains are unique in their expression of anthropogenic perturbation, as reference condition is often characterized by high levels of human activity and traditional biomonitoring metrics of health respond differently than published paradigms (e.g., EPT). This makes rivers and streams in this arid landscape challenging to monitor and set site-specific objectives for. Our current project applies Test Site Analysis which incorporates multivariate and multimetric approaches to predictive modeling. Test sites known to be highly stressed were used to screen measures and select metrics that are sensitive to further changes in biotic condition. Traditional metrics of human stress such as EPT respond differently than in other regions, often responding positively to human activity. In addition, we have had success in applying non-conventional metrics such as forensic stable isotopes, trait-based metrics, and oft-overlooked assemblages (e.g., amphipods) that allow higher accuracy and precision in assessment. Ultimately, these metrics are able to differentiate communities from sites with oil pollution, reservoirs, crop-dominated watersheds, and waste-water effluent from best available reference condition and will be used as diagnostic aids in making aquatic health management decisions in Saskatchewan’s Northern Great Plains.
- Invertebrate
- Assessment
- Monitoring
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Presenters/Authors
Iain Phillips
(), Troutreach Saskatchewan/ Water Security Agency of Saskatchewan, iain.phillips@wsask.ca;
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Michelle Bowman
(), Forensecology , michelle.f.bowman@gmail.com;
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Doug Chivers
(), University of Saskatchewan, doug.chivers@usask.ca;
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