2021
DOI: 10.1002/ieam.4519
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A synthetic review of terrestrial biological research from the Alberta oil sands region: 10 years of published literature

Abstract: In the past decade, a large volume of peer‐reviewed papers has examined the potential impacts of oil and gas resource extraction in the Canadian oil sands (OS). A large proportion focuses on terrestrial biology: wildlife, birds, and vegetation. We provide a qualitative synthesis of the condition of the environment in the oil sands region (OSR) from 2009 to 2020 to identify gaps and progress cumulative effects assessments. Our objectives were to (1) qualitatively synthesize and critically review knowledge from … Show more

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Cited by 16 publications
(32 citation statements)
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“…The inferred influence of industrial activity via atmospheric deposition was, however, also likely accompanied by local effects associated with land disturbance. While common in the terrestrial literature [35], few studies examine the influence of this stressor on surface waters, e.g., [46,56,109], and at some locations, such as JP-L, land disturbance may also reflect occasional release of discharge waters [42]. While this work focused on identifying negative effects of industrial coefficients, unconstrained ENs suggest other possible effects of industry.…”
Section: Discussionmentioning
confidence: 99%
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“…The inferred influence of industrial activity via atmospheric deposition was, however, also likely accompanied by local effects associated with land disturbance. While common in the terrestrial literature [35], few studies examine the influence of this stressor on surface waters, e.g., [46,56,109], and at some locations, such as JP-L, land disturbance may also reflect occasional release of discharge waters [42]. While this work focused on identifying negative effects of industrial coefficients, unconstrained ENs suggest other possible effects of industry.…”
Section: Discussionmentioning
confidence: 99%
“…In multi-stressor environments, detecting impacts in biological organisms and identifying the causes are also primary goals of monitoring [29,30]. However, identifying causes may not always be straightforward in areas such as the OSR which are (1) rich in geological resources where exposures to CoCs from natural and industrial sources may co-occur, (2) where industrial activities can affect ecosystems through multiple effect pathways, (3) other anthropogenic stressors are present, and (4) predevelopment exposure scenarios may not be well-characterized [3,[31][32][33][34][35][36][37][38]. For example, in the OSR differences at sites adjacent to mines compared to upstream reference areas are often observed, but natural confounding effects can obscure the identification and tracking of any potential impacts of industrial development on biological indicators [8,34,[39][40][41][42][43][44][45][46][47][48][49][50][51][52][53].…”
Section: Introductionmentioning
confidence: 99%
“…We have reported on this review in this special series by organizing the material into overlapping environmental themes of atmospheric emissions and atmospheric deposition (Horb et al, 2021), surface water and aquatics , and terrestrial biology (Roberts et al, 2021b). We have also presented an introduction to environmental monitoring in the OSR (Dubé et al, 2021) and a critical review of ICBM programs (Beausoleil et al, 2021).…”
Section: Integrated Environmental Monitoringmentioning
confidence: 99%
“…In this special series, we have expanded this model within several monitoring foci, including air (Horb et al, 2021), water , land (Roberts et al, 2021b), and ICBM (Beausoleil et al, 2021), prior to recombining these media-specific models into a programscale model that we also use to summarize monitoring effort. Note that the valued components identified in this program-scale conceptual model are an interpretation of community and ecosystem values, and are still being validated through ongoing dialog with Indigenous communities and other stakeholders in the OSR (Dubé et al, 2018).…”
Section: The Conceptual Modelmentioning
confidence: 99%
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