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Record W2179564089 · doi:10.1579/0044-7447-32.3.214

Reconstruction of Centuries-old Daphnia Communities in a Lake Recovering from Acidification and Metal Contamination

2003· article· en· W2179564089 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAMBIO · 2003
Typearticle
Languageen
FieldArts and Humanities
TopicArchaeology and Historical Studies
Canadian institutionsMinistry of the Environment, Conservation and Parks
Fundersnot available
KeywordsContaminationDaphniaEnvironmental scienceEnvironmental chemistryWater contaminationEcologyBiologyZooplanktonChemistry

Abstract

fetched live from OpenAlex

Paleolimnological and molecular genetic techniques were combined to reconstruct the long-term patterns in Daphnia community composition in Hannah Lake--a lake recovering from industrial acidification, metal contamination and faunal extirpation. Like many zooplankters, Daphnia produce diapausing eggs that can remain viable for decades and even over a century. Yet, the appearance of D. mendotae in Hannah Lake during the last two decades is likely the outcome of dispersal from other nearby lakes, not by colonization from the sediment egg-bank. Our genetic tests using PCR, SSCP and sequencing indicate that D. mendotae diapausing eggs are absent within the sediment record of the previous 250 years and that, prior to metal smelting operations in the region, the community was dominated by D. pulicaria. This species shift following the lake's chemical restoration is consistent with earlier historical changes in lake acidity. Environmental fluctuations may have governed community composition throughout Hannah Lake's more ancient past. Extending this molecular-paleolimnological approach to other lakes should help develop more accurate formulations of the biological recovery process.

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.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.668
Threshold uncertainty score0.923

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.031
GPT teacher head0.208
Teacher spread0.177 · 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