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On the probability of ecological risks from microplastics in the Laurentian Great lakes
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This study assessed the ecological risks posed by microplastics in the Great Lakes using a probabilistic approach that accounts for data uncertainty. Researchers found that while no lake-wide risk threshold was exceeded, parts of several lakes showed meaningful probabilities of harm, with up to 24% of surface water locations in Lake Ontario at risk. The findings highlight that microplastic pollution in the Great Lakes warrants targeted policy attention, especially in the most contaminated areas.
The Laurentian Great Lakes represent important and iconic ecosystems. Microplastic pollution has become a major problem among other anthropogenic stressors in these lakes. There is a need for policy development, however, assessing the risks of microplastics is complicated due to the uncertainty and poor quality of the data and incompatibility of exposure and effect data for microplastics with different properties. Here we provide a prospective probabilistic risk assessment for Great Lakes sediments and surface waters that corrects for the misalignment between exposure and effect data, accounts for variability due to sample volume when using trawl samples, for the random spatiotemporal variability of exposure data, for uncertainty in data quality (QA/QC), in the slope of the power law used to rescale the data, and in the HC5 threshold effect concentration obtained from Species Sensitivity Distributions (SSDs). We rank the lakes in order of the increasing likelihood of risks from microplastics, for pelagic and benthic exposures. A lake-wide risk, i.e. where each location exceeds the risk limit, is not found for any of the lakes. However, the probability of a risk from food dilution occurring in parts of the lakes is 13-15% of the benthic exposures in Lakes Erie and Huron, and 8.3-10.3% of the pelagic exposures in Lake Michigan, Lake Huron, Lake Superior, and Lake Erie, and 24% of the pelagic exposures in Lake Ontario. To reduce the identified uncertainties, we recommend that future research focuses on characterizing and quantifying environmentally relevant microplastic (ERMP) over a wider size range (ideally 1-5000 μm) so that probability density functions (PDFs) can be better calibrated for different habitats. Toxicity effect testing should use a similarly wide range of sizes and other ERMP characteristics so that complex data alignments can be minimized and assumptions regarding ecologically relevant dose metrics (ERMs) can be validated.
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On the likelihood of ecological risks from microplastics in the Laurentian Great Lakes
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This review assessed the likelihood of ecological risks from microplastics in the Laurentian Great Lakes, identifying significant challenges for risk assessment due to inconsistent data quality and lack of standardized methods, and calling for policy development to address microplastic pollution in these iconic ecosystems.
On the probability of ecological risks from microplastics in the Laurentian Great lake
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Researchers conducted a probabilistic ecological risk assessment of microplastics in Great Lakes sediments, finding that fiber-shaped microplastics posed the highest risk and that current concentrations may already affect benthic organisms in certain areas.
Towards a management strategy for microplastic pollution in the Laurentian Great Lakes—ecological risk assessment and management (part 2)
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Researchers applied ecological risk assessment frameworks to evaluate microplastic pollution in the Great Lakes and found that some areas may pose measurable risks to aquatic communities. By comparing proposed safety thresholds with actual monitoring data, they identified specific locations where microplastic concentrations exceed levels considered safe for freshwater organisms. The study represents an important step toward developing practical management strategies for microplastic pollution in one of the world's largest freshwater systems.
Toward an ecotoxicological risk assessment of microplastics: Comparison of available hazard and exposure data in freshwaters
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Researchers compiled available exposure and toxicity data to perform the first probabilistic risk assessment of microplastics specifically in freshwater environments. The study found that while current concentrations in most freshwaters may not yet pose widespread ecological risk, localized hotspots could exceed harmful thresholds, highlighting the need for more standardized freshwater monitoring.
Probabilistic risk assessment of microplastics in Tai Lake, China
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Researchers assessed the ecological risk of microplastic pollution across Tai Lake in China, finding concentrations ranging from zero to over 18 particles per liter in the lake and much higher in connected rivers. Using toxicity data, they determined that some areas pose moderate to high risk to aquatic life. Since Tai Lake is an important freshwater resource, this contamination raises concerns about microplastics entering drinking water and fish consumed by local communities.
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