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Holocene sea-ice and productivity changes on the Scotian Shelf, NW Atlantic

2025· article· en· W4416746282 on OpenAlexafffundabout
Peter Matzerath, Henriette Kolling, Markus Kienast, Kirsten Fahl, Ruediger Stein, Felix Groß, Ralph R Schneider

Bibliographic record

VenueQuaternary Science Reviews · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsDalhousie University
FundersDalhousie UniversityDeutsche Forschungsgemeinschaft
KeywordsHoloceneMeltwaterTerrigenous sedimentSea icePolar frontSea surface temperatureNorth Atlantic oscillationPaleoclimatologyBiogenic silica

Abstract

fetched live from OpenAlex

The Scotian Shelf is affected by the confluence of cold polar and warm Gulf Stream-influenced waters, making it particularly sensitive to record past ocean and climate variability. Despite this paleoenvironmental significance, major gaps in our understanding of Holocene ocean and climate dynamics persist, particularly in terms of sea ice and marine productivity. Here, we use a combination of biomarkers, specifically the sea-ice proxy IP 25 , together with biomarkers for productivity (i.e., brassicasterol, dinosterol, total organic carbon) and terrigenous input (campesterol) in a sediment core from the northeastern Scotian Shelf to resolve Holocene changes in sea ice and marine productivity. During the Early Holocene, our results show increased spring sea-ice algae and reduced marine productivity, which we posit to be linked to a strongly reduced regional sea level together with increased inflow of meltwater favoring the formation of an expanded seasonal sea-ice cover on the Scotian Shelf. After 6 cal ka BP, the Scotian Shelf became predominantly free of sea ice due to a decreased influence of meltwater and a rise in local sea level. After 2.5 cal ka BP and coinciding with the Late Holocene Neoglacial cooling, the Scotian Shelf might have been affected by episodic sea-ice readvances, consistent with other regional on- and offshore paleoclimate studies. In summary, our records suggest a strong link between sea-ice extent, marine productivity, and Holocene variations in regional sea level, and ocean and atmosphere conditions, i.e., the strength of Gulf of St. Lawrence outflow and Labrador Current, and prevailing North Atlantic Oscillation anomalies.

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)0.004
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 score0.028
Threshold uncertainty score0.864

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.045
GPT teacher head0.296
Teacher spread0.252 · 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

Citations0
Published2025
Admission routes3
Has abstractyes

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