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Mebane CA. Bioavailability and Toxicity Models of Copper to Freshwater Life: The State of Regulatory Science. ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY 2023; 42:2529-2563. [PMID: 37818880 DOI: 10.1002/etc.5736] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/09/2023] [Revised: 05/23/2023] [Accepted: 08/21/2023] [Indexed: 10/13/2023]
Abstract
Efforts to incorporate bioavailability adjustments into regulatory water quality criteria in the United States have included four major procedures: hardness-based single-linear regression equations, water-effect ratios (WERs), biotic ligand models (BLMs), and multiple-linear regression models (MLRs) that use dissolved organic carbon, hardness, and pH. The performance of each with copper (Cu) is evaluated, emphasizing the relative performance of hardness-based versus MLR-based criteria equations. The WER approach was shown to be inherently highly biased. The hardness-based model is in widest use, and the MLR approach is the US Environmental Protection Agency's (USEPA's) present recommended approach for developing aquatic life criteria for metals. The performance of criteria versions was evaluated with numerous toxicity datasets that were independent of those used to develop the MLR models, including olfactory and behavioral toxicity, and field and ecosystem studies. Within the range of water conditions used to develop the Cu MLR criteria equations, the MLR performed well in terms of predicting toxicity and protecting sensitive species and ecosystems. In soft waters, the MLR outperformed both the BLM and hardness models. In atypical waters with pH <5.5 or >9, neither the MLR nor BLM predictions were reliable, suggesting that site-specific testing would be needed to determine reliable Cu criteria for such settings. The hardness-based criteria performed poorly with all toxicity datasets, showing no or weak ability to predict observed toxicity. In natural waters, MLR and BLM criteria versions were strongly correlated. In contrast, the hardness-criteria version was often out of phase with the MLR and, depending on waterbody and season, could be either strongly overprotective or underprotective. The MLR-based USEPA-style chronic criterion appears to be more generally protective of ecosystems than other models. Environ Toxicol Chem 2023;42:2529-2563. © 2023 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.
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Porter DE, Morris JM, Trifari MP, Wooller MJ, Westley PAH, Gorman KB, Barst BD. Acute Toxicity of Copper to Three Species of Pacific Salmon Fry in Water with Low Hardness and Low Dissolved Organic Carbon. ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY 2023; 42:2440-2452. [PMID: 37493065 DOI: 10.1002/etc.5724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 03/11/2023] [Accepted: 07/21/2023] [Indexed: 07/27/2023]
Abstract
Proposed development of a mine within Alaska's Bristol Bay watershed (USA) has raised concerns about the potential impact of copper (Cu) on Pacific salmon (Oncorhynchus spp.). We conducted 96-h flow-through bioassays using low-hardness and low dissolved organic carbon water to determine the acute lethal toxicity of Cu to sockeye (Oncorhynchus nerka), Chinook (Oncorhynchus tshawytscha), and coho salmon (Oncorhynchus kisutch) fry. We aimed to determine Cu toxicity under field-relevant water quality conditions and to assess three methods of calculating ambient Cu criteria: the biotic ligand model (BLM), a multiple linear regression model endorsed by the US Environmental Protection Agency, and the hardness-based model currently used by the State of Alaska. The criteria generated by all models were below 20% lethal Cu concentrations by factors ranging from 2.2 to 54.3, indicating that all criteria would be protective against mortality. The multiple linear regression-based criteria were the most conservative and were comparable to BLM-based criteria. The median lethal concentrations (LC50s) for sockeye, Chinook, and coho were 35.2, 23.9, and 6.3 µg Cu/L, respectively. We also used the BLM to predict LC50s for each species. Model predictions differed from empirical LC50s by factors of 0.7 for sockeye and Chinook salmon, and 1.1 for coho salmon. These differences fell within the acceptable range of ±2, indicating the model's accuracy. We calculated critical lethal Cu accumulation values for each species to account for differing water chemistry in each bioassay; the present study revealed that coho salmon were most sensitive to Cu, followed by sockeye and Chinook salmon. Our findings underscore the importance of considering site- and species-specific factors when modeling Cu toxicity. The empirical data we present may enhance Cu risk assessments for Pacific salmon. Environ Toxicol Chem 2023;42:2440-2452. © 2023 SETAC.
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Affiliation(s)
- Drew E Porter
- College of Fisheries and Ocean Sciences, University of Alaska Fairbanks, Fairbanks, Alaska, USA
- Water and Environment Research Center, Institute of Northern Engineering, University of Alaska Fairbanks, Fairbanks, Alaska, USA
| | | | - Michelle P Trifari
- College of Fisheries and Ocean Sciences, University of Alaska Fairbanks, Fairbanks, Alaska, USA
- Water and Environment Research Center, Institute of Northern Engineering, University of Alaska Fairbanks, Fairbanks, Alaska, USA
| | - Matthew J Wooller
- College of Fisheries and Ocean Sciences, University of Alaska Fairbanks, Fairbanks, Alaska, USA
- Water and Environment Research Center, Institute of Northern Engineering, University of Alaska Fairbanks, Fairbanks, Alaska, USA
- Alaska Stable Isotope Facility, University of Alaska Fairbanks, Fairbanks, Alaska, USA
| | - Peter A H Westley
- College of Fisheries and Ocean Sciences, University of Alaska Fairbanks, Fairbanks, Alaska, USA
| | - Kristen B Gorman
- College of Fisheries and Ocean Sciences, University of Alaska Fairbanks, Fairbanks, Alaska, USA
| | - Benjamin D Barst
- Water and Environment Research Center, Institute of Northern Engineering, University of Alaska Fairbanks, Fairbanks, Alaska, USA
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Sergeant CJ, Sexton EK, Moore JW, Westwood AR, Nagorski SA, Ebersole JL, Chambers DM, O'Neal SL, Malison RL, Hauer FR, Whited DC, Weitz J, Caldwell J, Capito M, Connor M, Frissell CA, Knox G, Lowery ED, Macnair R, Marlatt V, McIntyre JK, McPhee MV, Skuce N. Risks of mining to salmonid-bearing watersheds. SCIENCE ADVANCES 2022; 8:eabn0929. [PMID: 35776798 PMCID: PMC10883362 DOI: 10.1126/sciadv.abn0929] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Mining provides resources for people but can pose risks to ecosystems that support cultural keystone species. Our synthesis reviews relevant aspects of mining operations, describes the ecology of salmonid-bearing watersheds in northwestern North America, and compiles the impacts of metal and coal extraction on salmonids and their habitat. We conservatively estimate that this region encompasses nearly 4000 past producing mines, with present-day operations ranging from small placer sites to massive open-pit projects that annually mine more than 118 million metric tons of earth. Despite impact assessments that are intended to evaluate risk and inform mitigation, mines continue to harm salmonid-bearing watersheds via pathways such as toxic contaminants, stream channel burial, and flow regime alteration. To better maintain watershed processes that benefit salmonids, we highlight key windows during the mining governance life cycle for science to guide policy by more accurately accounting for stressor complexity, cumulative effects, and future environmental change.
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Affiliation(s)
- Christopher J Sergeant
- Flathead Lake Biological Station, University of Montana, Polson, MT 59860, USA
- College of Fisheries and Ocean Sciences, University of Alaska Fairbanks, Juneau, AK 99801, USA
| | - Erin K Sexton
- Flathead Lake Biological Station, University of Montana, Polson, MT 59860, USA
| | - Jonathan W Moore
- Earth2Ocean Research Group, Simon Fraser University, Burnaby, BC V5A 1S6, Canada
| | - Alana R Westwood
- School for Resource and Environmental Studies, Dalhousie University, Halifax, NS B3H 4R2, Canada
| | - Sonia A Nagorski
- Environmental Science Program, University of Alaska Southeast, Juneau, AK 99801, USA
| | | | - David M Chambers
- Center for Science in Public Participation, Bozeman, MT 59715, USA
| | - Sarah L O'Neal
- School of Aquatic and Fishery Sciences, University of Washington, Seattle, WA 98105, USA
| | - Rachel L Malison
- Flathead Lake Biological Station, University of Montana, Polson, MT 59860, USA
| | - F Richard Hauer
- Flathead Lake Biological Station, University of Montana, Polson, MT 59860, USA
| | - Diane C Whited
- Flathead Lake Biological Station, University of Montana, Polson, MT 59860, USA
| | - Jill Weitz
- Salmon Beyond Borders, Juneau, AK 99801, USA
| | - Jackie Caldwell
- Lands, Resources, and Fisheries, Taku River Tlingit First Nation, Atlin, BC V0W 1A0, Canada
| | | | - Mark Connor
- Lands, Resources, and Fisheries, Taku River Tlingit First Nation, Atlin, BC V0W 1A0, Canada
| | - Christopher A Frissell
- Flathead Lake Biological Station, University of Montana, Polson, MT 59860, USA
- Department of Hydrology, Salish Kootenai College, Pablo, MT 59855, USA
| | - Greg Knox
- SkeenaWild Conservation Trust, Terrace, BC V8G 1M9, Canada
| | - Erin D Lowery
- Environment, Land, and Licensing Business Unit, Seattle City Light, Seattle, WA 98104, USA
| | | | - Vicki Marlatt
- Department of Biological Sciences, Simon Fraser University, Burnaby, BC V5A 1S6, Canada
| | - Jenifer K McIntyre
- School of the Environment, Puyallup Research and Extension Center, Washington State University, Puyallup, WA 98371, USA
| | - Megan V McPhee
- College of Fisheries and Ocean Sciences, University of Alaska Fairbanks, Juneau, AK 99801, USA
| | - Nikki Skuce
- Northern Confluence Initiative, Smithers, BC V0J 2N0, Canada
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Razmara P, Sharpe J, Pyle GG. Rainbow trout (Oncorhynchus mykiss) chemosensory detection of and reactions to copper nanoparticles and copper ions. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2020; 260:113925. [PMID: 32369894 DOI: 10.1016/j.envpol.2020.113925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/15/2019] [Revised: 12/20/2019] [Accepted: 01/05/2020] [Indexed: 06/11/2023]
Abstract
Copper is known to interfere with fish olfaction. Although the chemosensory detection and olfactory toxicity of copper ions (Cu2+) has been heavily studied in fish, the olfactory-driven detection of copper nanoparticles (CuNPs)-a rapidly emerging contaminant to aquatic systems-remains largely unknown. This study aimed to investigate the olfactory response of rainbow trout to equitoxic concentrations of CuNPs or Cu2+ using electro-olfactography (EOG, a neurophysiological technique) and olfactory-mediated behavioural assay. In the first experiment, the concentration of contaminants known to impair olfaction by 20% over 24 h (EOG-based 24-h IC20s of 220 and 3.5 μg/L for CuNPs and Cu2+, respectively) were tested as olfactory stimuli using both neurophysiological and behavioural assays. In the second experiment, to determine whether the presence of CuNPs or Cu2+ can affect the ability of fish to perceive a social cue (taurocholic acid (TCA)), fish were acutely exposed to one form of Cu-contaminants (approximately 15 min). Following exposure, olfactory sensitivity was measured by EOG and olfactory-mediated behaviour within a choice maze was recorded in the presence of TCA. Results of neurophysiological and behavioural experiments demonstrate that rainbow trout can detect and avoid the IC20 of CuNPs. The IC20 of Cu2+ was below the olfactory detection threshold of rainbow trout, as such, fish did not avoid Cu2+. The high sensitivity of behavioural endpoints revealed a lack of aversion response to TCA in CuNP-exposed fish, despite this change not being present utilizing EOG. The reduced response to TCA during the brief exposure to CuNPs may be a result of either olfactory fatigue or blockage of olfactory sensory neurons (OSNs) by CuNPs. The observed behavioural interference caused by CuNP exposure may indicate that CuNPs have the ability to interfere with other behaviours potentially affecting fitness and survival. Our findings also revealed the differential response of OSNs to CuNPs and Cu2+.
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Affiliation(s)
- Parastoo Razmara
- Department of Biological Sciences, University of Lethbridge, Lethbridge, Alberta, T1K 3M4, Canada.
| | - Justin Sharpe
- Department of Biological Sciences, University of Lethbridge, Lethbridge, Alberta, T1K 3M4, Canada
| | - Gregory G Pyle
- Department of Biological Sciences, University of Lethbridge, Lethbridge, Alberta, T1K 3M4, Canada
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Potential Impacts to Wetlands and Water Bodies Due to Mineral Exploration, Pebble Copper-Gold Prospect, Southwest Alaska. ENVIRONMENTS 2019. [DOI: 10.3390/environments6070084] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
There is little information in the literature about the impacts of mineral exploration drilling on natural waters. A copper-gold-molybdenum mining deposit in Alaska was heavily explored until 2012 and partially reclaimed; however, full reclamation of drill sites remained incomplete in 2016. Copper is sub-lethally toxic to salmon, a highly-valued resource in this area. Of 109 sites inspected, 9 sites had confirmed impacts due to un-reclaimed drill-holes or drill waste disposal practices. At seven sites artesian waters at the drill stem resulted in surface water or sediment elevated in aluminum, iron, copper, or zinc with neutral pH. Copper concentrations at artesian sites were <0.4, 0.7, 2, 7, 15, 76, and 215 µg/L; the latter four exceed water quality criteria. Drilling waste is known to have been disposed of in ponds and unlined sumps. At one of five ponds sampled, copper declined from 51 to 8 µg/L over nine years. At the one sump area with historical data, copper increased from 0.3 to 1.8 µg/L at a downgradient wetland spring over five years. This research identifies contaminant types and sources and can be used to guide future ecotoxicity studies and improve regulatory oversight.
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Morris JM, Brinkman SF, Carney MW, Lipton J. Copper toxicity in Bristol Bay headwaters: Part 1-Acute mortality and ambient water quality criteria in low-hardness water. ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY 2019; 38:190-197. [PMID: 30125979 DOI: 10.1002/etc.4252] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/03/2018] [Revised: 05/02/2018] [Accepted: 08/09/2018] [Indexed: 06/08/2023]
Abstract
The world-class Alaskan Bristol Bay salmon fishery and vast deposits of copper (Cu) and other metals in the watershed warrant further investigation into the potential toxicity of Cu to salmonids under the low water-hardness conditions that occur in the watershed. Therefore we investigated the acute toxicity of Cu to rainbow trout (Oncorhynchus mykiss) and fathead minnows (Pimephales promelas) in low-hardness water (∼ 30 mg/L as CaCO3 ) formulated in the laboratory and collected from the Bristol Bay watershed. The median lethal concentration (LC50) for rainbow trout exposed to Cu in low-hardness laboratory water was 16 μg Cu/L (95% confidence intervals [CIs]: 12, 21; dissolved Cu, filtered to 0.45 μm). The LC50 values for fathead minnows exposed to Cu in low-hardness laboratory water or site water were 29 and 79 μg Cu/L (95% CIs: 23, 35 and 58, 125; dissolved Cu), respectively. The biotic ligand model (BLM) LC50 estimates for these bioassays were 1.3 to 2.3 times higher than the actual LC50 values. We also calculated and analyzed acute Cu water quality criteria, also known as criterion maximum concentration (CMC), using hardness-based methods and the BLM for water samples collected throughout the Bristol Bay watershed in 2007. Biotic ligand model CMCs ranged from 0.05 to 17.5 μg Cu/L and hardness-based CMCs ranged from 2.3 to 6.1 μg Cu/L for the 65 samples analyzed. Our results show the need for site-specific research and subsequent water quality guidelines in low-hardness aquatic habitats. Environ Toxicol Chem 2019;38:190-197. © 2018 SETAC.
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