Spatial modelling of non-target exposure to anticoagulant rodenticides can inform mitigation options in two boreal predators inhabiting areas with intensive oil and gas development

Thomas, Philippe J.; Eccles, Kristin M.; Mundy, Lukas J.

doi:10.1016/j.biocon.2017.06.005

Cited by 14 publications

(17 citation statements)

References 33 publications

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“…Carcasses were stored at − 20˚C until the completion of gross necropsies, where the livers were dissected for chemical analysis [13,29]. Fisher and marten favor old-growth coniferous forest with dense canopy cover [13] while the semi-aquatic furbearers inhabit the shorelines of rivers and lakes [30]. The eggs of gull and tern species were ethically collected under permit from nesting colonies.…”

Section: Datamentioning

confidence: 99%

“…Spatial analyses of wildlife exposures can be used to identify priority metals and PTEs, determine sources, identify priority areas for further study, and help develop targeted strategies for additional monitoring or exposure reduction [13]. However, as one limitation of this method is that it only identifies statistical associations and does not allow a determination of whether the complex exposures are likely to cause adverse health effects, it is not possible to characterize the risk of the exposure.…”

Section: Plos Onementioning

confidence: 99%

“…Annual sampling campaigns in the wildlife contaminants and toxicology monitoring program in JOSM measured a selected suite of chemical contaminants in wood frogs (Lithobates sylvaticus); fur-bearing mammals including river otter (Lontra canadensis), mink (Neovision vision), fisher (Martes pennant), and marten (Martes Americana); birds including the eggs of Caspian Terns (Hydroprogne caspia) and California Gulls (Larus californicus), and tree swallow (Tachycineta bicolor) nestlings; and a variety of aboveground and belowground plant matter. In the wildlife contaminants monitoring program, exposure to contaminants was measured in collected tissues, including liver, feathers, and eggs [8][9][10][11][12][13]. Programs under JOSM also monitored abiotic matrices, including air, water, and aerial deposition of contaminants, including in snow.…”

Section: Introductionmentioning

confidence: 99%

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Geospatial analysis of the patterns of chemical exposures among biota in the Canadian Oil Sands Region

2020

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Understanding the patterns of chemical exposure among biota across a landscape is challenging due to the spatial heterogeneity and complexity of the sources, pathways, and fate of the different chemicals. While spatially-driven relationships between contaminant sources and biota body burdens of a single chemical are commonly modelled, there has been little effort on modelling chemical mixtures across multiple wildlife species in the Canadian Oil Sands region. In this study, we used spatial principal components analysis (sPCA) to assess spatial patterns of the body burdens of 22 metals and Potentially Toxic Elements (PTEs) in 492 individual wildlife, including fur-bearing mammals, colonial waterbirds, and amphibians collected from the Canadian Oil Sands region in Canada. Spatial analysis and mapping both indicate that some of the complex exposures in the studied biota are distributed randomly across a landscape, which suggests background or non-point source exposures. In contrast, the pattern of exposure for seven metals and PTEs, including mercury, vanadium, lead, rubidium, lithium, strontium, and barium, exhibited a clustered pattern to the east of the open-pit mining area and in regions downstream of oil sands development which indicates point-source input. This analysis demonstrated useful methods for integrating monitoring datasets and identifying sources and potential drivers of exposure to chemical mixtures in biota across a landscape. These results can be used to support an adaptive monitoring program by identifying regions needing additional monitoring, health impact assessments, and possible intervention strategies.

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Section: Datamentioning

confidence: 99%

Section: Plos Onementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Geospatial analysis of the patterns of chemical exposures among biota in the Canadian Oil Sands Region

2020

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“…Detrimental non-target exposure to ARs has been shown in numerous populations of predators in Europe and North America (Christensen et al, 2012;López-Perea et al, 2015;Riley et al, 2007;Shore et al, 2003;Thomas et al, 2017). These effects can be significant, with population-level effects from non-target exposure documented for mammals (Jacquot et al, 2013) and raptors (Thomas et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Endangered Australian top predator is frequently exposed to anticoagulant rodenticides

Pay

Katzner

Hawkins

et al. 2021

Science of The Total Environment

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Anticoagulant rodenticides (ARs) used to control mammalian pest populations cause secondary exposure of predatory species throughout much of the world. It is important to understand the drivers of non-target AR exposure patterns as context for assessing long-term effects and developing effective mitigation for these toxicants. In Australia, however, little is known about exposure and effects of ARs on predators. We detected AR residues in 74% of 50 opportunistically collected carcasses of the Tasmanian wedge-tailed eagle (Aquila audax fleayi), an endangered apex predator. In 22% of birds tested, or 31% of those exposed, liver concentrations of second generation ARs (SGARs) were > 0.1 mg/kg ww. Eagles were exposed to flocoumafen, a toxicant only available from agricultural suppliers, at an exceptionally high rate (40% of birds tested). Liver SGAR concentrations were positively associated with the proportion of agricultural habitat and human population density in the area around where each eagle died. The high exposure rate, in a species not known to regularly prey upon synanthropic rodents, supports the hypothesis that apex predators are vulnerable to SGARs. Our results indicate that AR exposure constitutes a previously unrecognized threat to Tasmanian wedgetailed eagles and highlight the importance of efforts to address non-target AR exposure in Australia.

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“…We also provide a proof-of-concept example for demonstration purposes of how to assess the spatial co-occurrence between exposures and responses. (Hebert et al 2013;Dolgova et al 2018), plants (Boutin and Carpenter 2017), and terrestrial and semiaquatic mammals (Thomas et al 2017). Biological samples from the monitoring activity were geolocated, and tissues (and some abiotic samples) were analyzed for a variety of contaminants, including metals and PACs, and in some species, health indicators were measured, including thyroid hormones (triiodothyronine and thyroxine) and cortisol (Government of Canada 2017).…”

Section: Introductionmentioning

confidence: 99%

The Use of Geographic Information Systems for Spatial Ecological Risk Assessments: An Example from the Athabasca Oil Sands Area in Canada

Eccles

Pauli

Chan

2019

Enviro Toxic and Chemistry

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There is an acknowledged need in ecotoxicology for methods that integrate spatial analyses in risk assessment. This has resulted in the emergence of landscape ecotoxicology, a subdiscipline of ecotoxicology. However, landscape ecotoxicology has yet to become common practice in risk assessment due to the underdevelopment of techniques and a lack of standardized methods. In the present study, we demonstrate how geographic information systems (GISs) can serve as a standardized platform to integrate data, assess spatial patterns of ecotoxicological data for multiple species, and assess relationships between chemical mixture exposures and effects on biota for landscape ecotoxicological risks assessment. We use data collected under the Joint Oil Sands Monitoring Program in the Athabasca Oil Sands Region in Alberta, Canada. This dataset is composed of concentrations of contaminants including metals and polycyclic aromatic compounds, and health endpoints measured in 1100 biological samples, including tree swallows, amphibians, gull and tern eggs, plants, and mammals. We present 3 examples using a GIS as a platform and geospatial analysis to: 1) integrate data and assess spatial patterns of contaminant exposure in the region, 2) assess spatial patterns of exposures to complex mixtures, and 3) examine patterns of exposures and responses across the landscape. We summarize the methods used in the present study into a workflow for ease of use. The GIS methods allow researchers to identify hot spots of contamination, use georeferenced monitoring data to derive quantitative exposure‐response relationships, and assess complex exposures with more realism. Environ Toxicol Chem 2019;38:2797–2810. © 2019 SETAC

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Spatial modelling of non-target exposure to anticoagulant rodenticides can inform mitigation options in two boreal predators inhabiting areas with intensive oil and gas development

Cited by 14 publications

References 33 publications

Geospatial analysis of the patterns of chemical exposures among biota in the Canadian Oil Sands Region

Geospatial analysis of the patterns of chemical exposures among biota in the Canadian Oil Sands Region

Endangered Australian top predator is frequently exposed to anticoagulant rodenticides

The Use of Geographic Information Systems for Spatial Ecological Risk Assessments: An Example from the Athabasca Oil Sands Area in Canada

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