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Record W3120400327

Selenium uptake, trophic transfer, and toxicity in boreal lake ecosystems

2020· dissertation· en· W3120400327 on OpenAlexaboutno aff
Stephanie D. Graves

Bibliographic record

VenueUniversity Library (University of Saskatchewan) · 2020
Typedissertation
Languageen
FieldNursing
TopicSelenium in Biological Systems
Canadian institutionsnot available
Fundersnot available
KeywordsTrophic levelBorealEcosystemEnvironmental scienceLake ecosystemToxicityEcologyEnvironmental chemistrySeleniumInvertebrateBoreal ecosystemTrophic state indexBiologyChemistryPhytoplanktonNutrient
DOInot available

Abstract

fetched live from OpenAlex

Selenium (Se) is emerging as a contaminant of concern, particularly in mine and agriculture influenced areas of Canada and the United States. Due to the high site- and species-specificity of Se bioaccumulation, site-specific biodynamic modelling is the accepted approach to predict Se accumulation in aquatic systems, and fish tissue-based guidelines for the protection of aquatic life are preferred over water quality guidelines. To date, few studies have assessed Se bioaccumulation in cold-water systems, such as Canadian boreal forest lakes. These lakes, which comprise a large proportion of Canada’s freshwater, are also associated with several anthropogenic activities that can contribute to the excess release of Se to aquatic systems. Further, concern about excess Se has generally focused on the teratogenic effects on egg-laying vertebrates, with relatively little attention paid to aquatic invertebrates. The goal of this research was to improve the current understanding of Se biodynamics and toxicity in Canadian boreal lakes, with the ultimate goal of informing future ecological risk assessments of Se in Canada. Limnocorrals in two lakes located at the International Institute for Sustainable Development – Experimental Lakes Area (IISD-ELA) were used to conduct small scale whole-ecosystem experiments to study bioaccumulation and toxicity of Se. In 2017, Se was added as selenite to six limnocorrals (two treatment groups, each in triplicate) to achieve mean measured water Se concentrations of 1.0 and 8.9 µg/L and three limnocorrals were untreated controls (mean measured Se = 0.12 µg/L). Distribution coefficients (kds) ranged from 7,772 L/kg dry mass (dm) in the 8.9 µg/L treatment to 23,495 L/kg dm in the 0.12 µg/L treatment, and trophic transfer factors (TTFs) for benthic macroinvertebrates ranged from 0.49 for Gammaridae to 2.3 for Chironomidae. Selenium accumulated in fathead minnow ovaries to concentrations near or above the current British Columbia Ministry of the Environment and US Environmental Protection Agency criteria (11 and 15.1 µg/g dm for fish ovary/egg, respectively) in the 1.0 and 8.9 µg/L treatments. Chironomidae and Gammaridae densities and biomass were significantly lower in the 8.9 µg/L Se treatment relative to the 1.0 µg/L Se treatment and the control, and invertebrate diversity significantly declined in the 1.0 µg/L and 8.9 µg/L Se treatments relative to the control (0.12 µg/L Se group). In 2018, a gradient approach was used in which three limnocorrals were controls (0.08-0.09 µg Se/L), and mean measured concentrations in Se-treated limnocorrals were 0.4, 0.8, 1.6, 3.4, 5.6, and 7.9 µg/L. Total Se (TSe) bioaccumulation by organisms was generally non-linear over the gradient of water Se concentrations used, and taxonomic differences in TSe accumulation by algae (phytoplankton < periphyton) and invertebrates (Heptageniidae = Chironomidae > zooplankton) were observed. Zooplankton and benthic macroinvertebrate communities shifted according to Se exposure. Cladocera and Heptageniidae biomass and density decreased with increasing Se treatment. Overall, this work contributes to the understanding of Se trophic dynamics and toxicity in cold-water Canadian boreal lakes. These data showed how Se bioaccumulation changes with increasing aqueous exposure and with different taxa, and provided field-derived kinetic models for the saturable uptake of Se by algae and invertebrates. The levels of Se observed in algae, invertebrates and fish tissues suggest that, depending upon aqueous Se speciation, such exposures have the potential to cause Se accumulation in fish to levels of concern in cold-water, boreal lake systems. Further, these studies demonstrated that Se can have impacts on aquatic invertebrates at environmentally relevant exposure levels, and that future ecological risk assessments should consider the impacts of Se on both vertebrates and invertebrates.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.642
Threshold uncertainty score0.712

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.177
Teacher spread0.167 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2020
Admission routes1
Has abstractyes

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