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Record W1970144538 · doi:10.1139/f01-185

Aluminum-dominated acute toxicity to the cladoceran<i>Ceriodaphnia dubia</i>in neutral waters downstream of an acid mine drainage discharge

2001· article· en· W1970144538 on OpenAlexvenueno aff
David J. Soucek, Donald S. Cherry, Carl E. Zipper

Bibliographic record

VenueCanadian Journal of Fisheries and Aquatic Sciences · 2001
Typearticle
Languageen
FieldEnvironmental Science
TopicMine drainage and remediation techniques
Canadian institutionsnot available
FundersOffice of Surface Mining Reclamation and EnforcementVirginia Polytechnic Institute and State University
KeywordsCeriodaphnia dubiaEnvironmental chemistryTributaryBenthic zoneToxicityAcute toxicityCladoceraAcid mine drainageInvertebrateAquatic ecosystemTrace metalAquatic toxicologyEnvironmental scienceEffluentZooplanktonEcologyChemistryBiologyEnvironmental engineeringMetal

Abstract

fetched live from OpenAlex

Acid mine drainage (AMD) is traditionally considered to impact aquatic ecosystems by acidification, metal precipitation smothering stream substrates, and sediment toxicity in association with trace metals. Using Ceriodaphnia dubia as a test organism, we conducted whole effluent toxicity (WET) tests with both field-collected and laboratory-synthesized AMD samples to investigate possible mechanisms of reduced benthic macroinvertebrate community diversity in neutral (pH &gt; 7.0) waters downstream of an acidified tributary. Our results indicate that Al and Fe in transition from acidic waters to neutralizing receiving streams can cause acute toxicity to standard invertebrate test organisms at neutral pH. Aluminum, with an average LC 50 (50% lethal concentration) of 2880 µg·L –1 , was determined to be the cause of acute toxicity in the field for up to a mile downstream of the AMD-influenced tributary and was the likely cause of reduced community diversity at those sites. Although Fe singly may cause acute toxicity in this type of system, it appears to reduce the toxicity of combinations of other metals such as Al, Cu, and Zn.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.179
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

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

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 head0.009
GPT teacher head0.218
Teacher spread0.209 · 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 teacher head, 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".

Quick stats

Citations36
Published2001
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of Fisheries and Aquatic SciencesSame topicMine drainage and remediation techniquesFrench-language works237,207