2019
DOI: 10.1002/etc.4469
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Developing Triggers for Environmental Effects Monitoring Programs for Trout‐Perch in the Lower Athabasca River (Canada)

Abstract: Baseline variations in trout‐perch energy use (growth, gonad size) and energy storage (condition, liver size) were characterized between 2009 and 2015 in 8 reaches of the Athabasca River (AB, Canada), including 2 reaches upstream of the city of Fort McMurray (AB, Canada) and 6 reaches downstream of Fort McMurray among existing oil sands operations. Generalized linear models, used to account for background variation, indicated that fork length, gonad size, and liver size decreased, whereas body weight increased… Show more

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Cited by 12 publications
(16 citation statements)
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“…If additional analyses are conducted, care may also be needed to characterize climatic and natural stresses. While MST and MSP were included here to account for background variation, other factors such as stream discharge may further explain some of the differences over time [58,59,64,101]. While better characterizing natural exposures would be beneficial, some, such as discharge in OSR tributaries, may be influenced by industrial activity, e.g., [46,56].…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…If additional analyses are conducted, care may also be needed to characterize climatic and natural stresses. While MST and MSP were included here to account for background variation, other factors such as stream discharge may further explain some of the differences over time [58,59,64,101]. While better characterizing natural exposures would be beneficial, some, such as discharge in OSR tributaries, may be influenced by industrial activity, e.g., [46,56].…”
Section: Discussionmentioning
confidence: 99%
“…The approach has been used successfully to document changes in both chemical and biological status in lakes and bogs [7,9,22] and in some studies of streams [8,[55][56][57]. Second, while changes may be documented at a site over time, data on natural covariates, including temperature and precipitation [58,59], and descriptors of potential industrial influence, including mining intensity [8] and land disturbance [55] can also be included to identify potential drivers. The utility of combining climatic and industrial predictors in a site-specific and temporal analysis of monitoring data has recently been demonstrated in both the deposition of CoCs in snow and in the health of fish (slimy sculpin; Cottus cognatus) in the Steepbank River [8] further supporting the broad usefulness of this approach in the OSR.…”
Section: Introductionmentioning
confidence: 99%
“…Δ surface water temperature or chemical concentration) and thresholds (e.g. deviation of ±2 standard deviation of the mean) to be developed in support of the adaptive management strategy outlined in the Oil Sands Monitoring program to help predict future fish parameter ranges (Kilgore et al ). The use of these forecast triggers (biological and/or environmental) is also helpful in directing and evaluating mitigating efforts by management through the Environmental Effects Monitoring Adaptive Management (EEM/AM) steps, as suggested by Somers et al ().…”
Section: Discussionmentioning
confidence: 99%
“…Along with the stressors already described, such as the natural erosion of bitumen, the potentially overlapping influences in the Athabasca River also include discharge of sewage from the Fort McMurray wastewater treatment plant (FMM WWTP) [33,40,45,46] and the delivery of CoCs from upstream areas [47]. The existing literature and the occurrence of multiple stressors possibly affecting fish in the OSR suggest approaches to partition variability into potential sources are needed to identify and isolate the effects of industrial development and focus future monitoring efforts [48,49].…”
Section: Introductionmentioning
confidence: 99%