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Record W7161801910 · doi:10.82308/52859

Physical and biogeochemical drivers of deoxygenation in the Gulf and Lower St. Lawrence Estuary

2023· dissertation· en· W7161801910 on OpenAlexaboutno aff
Mathilde Jutras

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicOceanographic and Atmospheric Processes
Canadian institutionsnot available
Fundersnot available
KeywordsEstuaryBiogeochemical cycleUpwellingEutrophicationHypoxia (environmental)TributaryBiogeochemistryDeoxygenationDischarge

Abstract

fetched live from OpenAlex

Minimum dissolved oxygen concentrations in the bottom waters of the Lower St. Lawrence Estuary have decreased by 75% over the past century, reaching 34 µmol/kg in 2021, well below the threshold of severe hypoxia (∼62 µmol/kg). At the same time, the areal extent of the hypoxic zone has increased by more than 7-fold since the 1990s. These changes have dire consequences on marine fauna, including on economically important species such ascod, halibut and shrimp. In this thesis, in addition to describing the most recent decline, I investigate the main causes of the deoxygenation of the bottom waters of the Gulf and Lower St. Lawrence Estuary over the last five decades and examine their underlying biogeochemical and physical mechanisms.Using observations collected between the 1970s and 2018, I find that the causes of deoxygenation of the bottom-waters of the Gulf and Lower St. Lawrence Estuary varied over time. From the 1970s to the late 1990s, a local increase in oxygen consumption rates due to human-induced eutrophication dominated the oxygen decline. A box model of summer nutrient cycling in the Lower St. Lawrence Estuary confirms that eutrophication is driven bya stronger nitrogen discharge from the tributaries to the system. The effect of this discharge is damped by the upwelling of nutrient-rich waters at the head of the Lower St. Lawrence Estuary. From 2000 to 2018, changes in the ocean circulation patterns in the western North Atlantic Ocean dominated the oxygen decline, resulting in an increased contribution from the warm, oxygen-poor Gulf Stream Waters to the deep waters of the Gulf of St. Lawrence,at the expense of the previously dominant cold, oxygen-rich Labrador Current Waters. In 2020, the system even reached a symbolic level, with little to no Labrador Current Waters entering the system. These changes in circulation result from an increased eastward retroflection of the Labrador Current at the tip of the Grand Banks of Newfoundland. Using Lagrangian virtual particle tracking experiments performed with the outputs of an ocean reanalysis, I show that the retroflection is stronger when large-scale circulation adjustments in the western North Atlantic Ocean accelerate the western subpolar gyre and the Labrador Current as well as shift the Gulf Stream northward, partly driven by a northward shift of the zero-wind-stress-curl line in the western North Atlantic Ocean. In summary, the causes of deoxygenation in the bottom waters of the Gulf and Lower St. Lawrence Estuary are both local and remote, as they relate to both riverine nutrient and organic matter discharge as well as large-scale oceanic and atmospheric variability

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 score0.555
Threshold uncertainty score0.885

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.007
GPT teacher head0.216
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 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
Published2023
Admission routes1
Has abstractyes

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