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Record W6987907238

Understanding spatial patterns of past aridity on the Canadian prairies over the Holocene: insights based on diatom assemblages from Success Lake

2021· dissertation· en· W6987907238 on OpenAlexaboutno aff

Bibliographic record

VenueQSpace (Queen's University Library) · 2021
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsnot available
Fundersnot available
KeywordsHoloceneDiatomAridPrecipitationProxy (statistics)Climate changeSalinityAbundance (ecology)Pleistocene
DOInot available

Abstract

fetched live from OpenAlex

The Canadian prairies receives little precipitation and hence is prone to drought-related environmental, economic, and social impacts. Previous studies have suggested the Canadian prairies are sensitive to extreme droughts, and during the warmer mid-Holocene, many lakes became increasingly saline or dried out. Understanding the Holocene aridity profile is critical for us to be able to confidently forecast future drought and aridity, which is essential to establish appropriate policies and programs to reduce negative impacts. Diatom assemblages preserved in Success Lake sediment were used to reconstruct changes in lake-water salinity, with increases in salinity, serving as a proxy of enhanced aridity over the Holocene on the Canadian prairies. The diatom record from Success Lake revealed four periods that were defined based on diatom composition. Century-scale analysis of the diatom record during the Holocene is consistent with a drier climate in the mid Holocene (between ~7,000 to ~5,300 cal yr BP) and is represented by high abundance of Cyclotella choctawhatcheeana. Between ~5,300 cal cal yr BP to 3,300 cal yr BP, short-lived high frequency in Chaetoceros muelleri implies the period of wetter events within sustained arid conditions throughout the mid-Holocene. Analysis of the past ~3,000 years suggests that the late Holocene was more complex, with extended periods of increased variability in diatom assemblages and inferred salinity suggesting frequent oscillation between the rise and falls in effective moisture. The mechanism controlling the moisture gradient is likely associated with the change in intensity and shape of the jet stream, influenced by ocean-atmospheric interaction and solar radiation. Comparing the record from Success Lake with other paleoclimatic records from the Canadian prairies and regions from near the ecotone of mixed-grass prairies and the Aspen parkland, show that lakes on the mixed-grass prairies experienced much less intense variation in effective moisture than the lakes adjacent to the Aspen Parkland region, highlighting this ecotone to variations in effective moisture.

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)0.001
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 score0.012
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0010.001
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 head0.022
GPT teacher head0.203
Teacher spread0.181 · 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".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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