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Record W7023488683

Phosphorus and Oxygen Dynamics between Fall and Spring Turnover Events in a Small Canadian Shield Lake

2022· dissertation· en· W7023488683 on OpenAlexaboutno aff

Bibliographic record

VenueQSpace (Queen's University Library) · 2022
Typedissertation
Languageen
FieldEnvironmental Science
TopicAquatic Ecosystems and Phytoplankton Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsHypolimnionEpilimnionWater columnSpring (device)ConvectionStratification (seeds)Surface waterDiel vertical migration
DOInot available

Abstract

fetched live from OpenAlex

In dimictic lakes, the stable density stratification during summer and winter inhibits vertical mixing of nutrients and oxygen. This favors the development of hypolimnetic hypoxia, which degrades cool-water fish habitat and enhances nutrient mineralization and diffusion from the sediments. Fall turnover began once the entire water column become nearly isothermal (within 0.4 °C) at the deepest point of the lake and continued to the onset of winter stratification. Similarly, spring turnover began when the water column became nearly isothermal (within 0.4 °C) and continued until the average water column temperature reached 4.0 to 4.5 °C. Fall and spring turnover events, therefore, provide a crucial bi-annual link between surface and bottom waters. Long-term field observations were supplemented with output from a three-dimensional numerical model, to better understand the hydrodynamics of turnovers and associated dissolved oxygen (DO) and orthophosphate (PO4) dynamics within a small temperate lake during 2011 to 2020. Mid-basin convection contributed the most to turnover events. During fall turnover, wind shear only mixed the upper 35% of the surface mixed layer, with convection acting to deepen below. During spring turnover, ice-cover sheltered the lake from wind, causing convection to be the only process occurring and lengthening the turnover duration (~51 days) compared to fall (~13 days). Photosynthetic production was modeled to contribute 92% of the total dissolved oxygen (DO) input to the lake, the remaining 8% was from atmospheric exchange. Of the DO production, 41% occurred under ice with a potential to contribute 17±11% of the hypolimnetic DO saturation deficit at spring turnover. The occurrence of spring turnover depended on the winter conditions. Warm winters caused a weak inverse stratification that shortened the deepening of the convective mixed layer (CML) under the ice and inhibited spring turnover induced mixing of DO into the hypolimnion. Conversely, cold winters caused an inverse stratification in which watercolumn became isothermal after the CML deepened and removed the stratification. Then, the incoming heat from the surface caused large vertical convections (spring turnover). Severe winters form a very strong inverse stratification that limits the effectiveness of spring turnover. Mineralization was the main PO4 source producing with 77-98% of the annual internal load. The remaining PO4 (2-23%) was from anoxic sediments. Fall turnover upwelled the trapped PO4 from hypolimnion into the photic zone where it could initiate the spring algal bloom. The bloom was postponed because phytoplankton was mixed to depth with fall turnover mixing events, where their growth was light limited until the seasonal increase in solar radiation in spring.

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 score0.058
Threshold uncertainty score0.117

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
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 head0.004
GPT teacher head0.166
Teacher spread0.162 · 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
Published2022
Admission routes1
Has abstractyes

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