The primary goals of environmental monitoring are to indicate whether unexpected changes related to development are occurring in the physical, chemical, and biological attributes of ecosystems and to inform meaningful management intervention. Although achieving these objectives is conceptually simple, varying scientific and social challenges often result in their breakdown. Conceptualizing, designing, and operating programs that better delineate monitoring, management, and risk assessment processes supported by hypothesis-driven approaches, strong inference,

Detecting unwanted changes associated with localized human activities in aquatic ecosystems requires defining the value of an indicator expected at a site in the absence of development. Ideally, adequate and comparable baseline data will be collected at an exposure location before that development, but this is rarely done. Instead, comparisons are made using various designs to overcome the inadequate or missing baseline data. Commonly these comparisons are done over short periods, using information from local reference sites to estimate variability expected at the exposed site. Results of these truncated designs are often evaluated using p values that may have little bearing on ecologically relevant changes. To remedy the reliance of studies on small datasets collected at reference sites, other designs emphasize regional analyses, but these may be insensitive to site-specific changes. Some designs also may forego discussing the consequences of detecting any differences. A new monitoring framework has been proposed to use existing solutions, simplify analysis, and focus on the detection of meaningful changes. It is illustrated here by using data on fish health from a large-scale, long-term program in the Moose River basin in northern Ontario. This framework advocates interpretation of data at multiple scales: within-site, locally, and regionally. The primary focus is on estimating a range from a probability distribution of historical data collected at a specific location where 95% of future observations are predicted to occur. Changes at the exposed site are also compared with historical and contemporary expectations from proximate and regional reference sites. Critical effect sizes also can be derived from regional reference data to evaluate the magnitude of differences observed between any 2 sites. Any unexpected changes inform future monitoring decisions provided by a priori guidance. Adoption of this framework extends the utility of monitoring programs in which commitments to long-term collections have been made, advocates harmonization of studies over time and space, and focuses attention on unusual observations.

We synthesize the information available from the peer‐reviewed literature on the ecological status of lakes and rivers in the oil sands region (OSR) of Canada. The majority of the research from the OSR has been performed in or near the minable region and examines the concentrations, flux, or enrichment of contaminants of concern (CoCs). Proximity to oil sands facilities and the beginning of commercial activities tend to be associated with greater estimates of CoCs across studies. Research suggests the higher measurements of CoCs are typically associated with wind‐blown dust, but other sources also contribute. Exploratory analyses further suggest relationships with facility production and fuel use data. Exceedances of environmental quality guidelines for CoCs are also reported in lake sediments, but there are no indications of toxicity including those within the areas of the greatest atmospheric deposition. Instead, primary production has increased in most lakes over time. Spatial differences are observed in streams, but causal relationships with industrial activity are often confounded by substantial natural influences. Despite this, there may be signals associated with site preparation for new mines, potential persistent differences, and a potential effect of petroleum coke used as fuel on some indices of health in fish captured in the Steepbank River. There is also evidence of improvements in the ecological condition of some rivers. Despite the volume of material available, much of the work remains temporally, spatially, or technically isolated. Overcoming the isolation of studies would enhance the utility of information available for the region, but additional recommendations for improving monitoring can be made, such as a shift to site‐specific analyses in streams and further use of industry‐reported data. Integr Environ Assess Manag 2022;18:361–387. © 2021 The Authors. Integrated Environmental Assessment and Management published by Wiley Periodicals LLC on behalf of Society of Environmental Toxicology & Chemistry (SETAC).

Environmental effects monitoring (EEM) has been traditionally used to evaluate the effects of existing facilities discharging liquid effluents into natural receiving waters in Canada. EEM also has the potential to provide feedback to an ongoing project in an adaptive management context and can inform the design of future projects. EEM, consequently, can and should also be used to test the predictions of effects related to new projects. Despite EEM's potential for widespread applicability, challenges related to the effective implementation of EEM include the use of appropriate study designs and the adoption of tiers for increasing or decreasing monitoring intensity. Herein we describe a template for designing and implementing a 6-tiered EEM program that utilizes information from the project-planning and predevelopment baseline data collection stages to build on forecasts from the initial environmental impact assessment project-design stage and that feeds into an adaptive management process. Movement between the 6 EEM tiers is based on the exceedance of baseline monitoring triggers, forecast triggers, and management triggers at various stages in the EEM process. To distinguish these types of triggers, we review the historical development of numeric and narrative triggers as applied to chemical (water and sediment) and biological (plankton, benthos, fish) endpoints. We also provide an overview of historical study design issues and discuss how the 6 EEM tiers and associated triggers influence the temporal-spatial experimental design options and how the information gained through EEM could be used in an adaptive management context. Integr Environ Assess Manag 2018;14:552-566. © 2018 SETAC.

No abstract

Responses to chemical and physical stressors are commonly expected among organisms residing near the Athabasca oil sands. Physiological effects have been observed in fishes during field studies; but further effects associated with development are not clear or consistent among species. For instance, data from a fish fence in 2009 show declines in the relative abundances of some species, including Arctic grayling (Thymallus arcticus). In contrast, increases were seen in white sucker (Catostomus commersoni). This divergence suggests incomplete understanding of the status of fishes residing near the oil sands. However, an important challenge limiting understanding is the lack of reliable baseline or reference data. To overcome this challenge, we used iterative normal ranges and a historical data set (electrofishing surveys done from 1987 to 2014) to determine if changes have occurred in fishes captured in the lower Athabasca River. These analyses revealed clear increases in the lengths of white sucker and walleye (Sander vitreus) and their relative abundances during the spawning season. The occurrence of these changes may be associated with overwintering location, but reduced fishing pressure in Lake Athabasca, eutrophication, or a cumulative effect may explain the form of changes detected in this study.

This article is part of the special series "A Decade of Research and Monitoring in the Oil Sands Region of Alberta, Canada." The series documents the history of monitoring in the region and critically reviews a synthesis of monitoring results published within key environmental theme areas to identify patterns of consistent responses or effects; significant gaps in knowledge; and recommendations for improved monitoring, assessment, and management of the region.

Control charting is a simple technique to identify change and is well suited for use in water quality programs. Control charts accounting for covariation associated with discharge and in some cases time were used to explore example and representative variables routinely measured in the Athabasca River near the oil sands area for indications of change. The explored variables include 5 major ions (chloride, sodium, sulfate, calcium, magnesium), 5 total metals (aluminum, iron, thallium, molybdenum, vanadium), and total suspended solids at two sites straddling the developments north of Fort McMurray. Regression equations developed from reference data (1988-2009) were used to predict observations and calculate residuals from later test data (2010-2016). Evidence of change was sought in the deviation of residual errors from the test period compared with the patterns expected and defined from probability distributions of the reference residuals using the odds ratio. In most cases, the patterns in test residuals were not statistically different from those expected from the reference period at either site, especially when data were examined annually. However, differences were found at both locations, more were found at the downstream site, and more differences emerged as data accumulated and were analyzed over time. In sum, the analyses at the downstream site suggest higher concentrations than predicted in most major ions, but the source of the changes is uncertain. In contrast, the concentrations of most metals at during the test period were lower than expected, which may be related to deposition patterns of materials or weathering of minerals during construction activities of the 2000s which influence the reference data used. The analyses also suggest alternative approaches may be necessary to understand change in some variables. Despite this, the results support the use of control charts to detect changes in water chemistry parameters and the value of the tool in surveillance phases of long-term and adaptive monitoring programs. Environ Toxicol Chem 2018;37:2296-2311. © 2018 SETAC.