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Record W7029445719

Inorganic carbon dynamics in the Estuary and Gulf of St. Lawrence: a source or sink of atmospheric CO2 and factors that control the spatial variability in gas exchange

2017· dissertation· en· W7029445719 on OpenAlexafffundabout

Bibliographic record

VenueeScholarship@McGill (McGill) · 2017
Typedissertation
Languageen
FieldSocial Sciences
TopicEducational Curriculum and Learning Methods
Canadian institutionsMcGill University
FundersFonds Québécois de la Recherche sur la Nature et les TechnologiesNatural Sciences and Engineering Research Council of CanadaMarine Environmental Observation Prediction and Response NetworkMcGill University
KeywordsEstuaryBiogeochemical cycleSink (geography)PhytoplanktonSubarctic climateAlkalinityChlorophyll aCarbon sinkTotal inorganic carbon
DOInot available

Abstract

fetched live from OpenAlex

La couverture spatiale éparse des mesures de pression partielle de CO 2 dans les eaux de surface (pCO 2 ) de différents types d'estuaires est une entrave à l'élaboration d'évaluations quantitatives des émissions de CO 2 estuariennes à l'échelle régionale et mondiale.L'estuaire et le golfe du Saint-Laurent, à la limite inférieure de la région subarctique de l'est du Canada, est le plus grand système estuarien semi-fermé au monde.Pourtant, aucune étude systématique de la dynamique du CO 2 dans ses eaux de surface n'a été publiée à ce jour.Des mesures du pH et d'alcalinité totale sont utilisées pour calculer la pCO 2 dans la couche de mélange des eaux de surface en contact avec l'atmosphère susjacent.Sur la base des données disponibles, le flux de CO 2 à l'interface mer-air est estimé pour l'ensemble de l'estuaire.Les processus physiques et biogéochimiques qui contrôlent la variabilité spatiale de la pCO 2 en surface sont ensuite identifiés, en utilisant un nouveau développement de l'analyse multiparamétrique optimisée étendue (OMP).Ainsi, les changements de carbone inorganique induits par les processus physiques et biologiques sont identifiés.À la fin du printemps ou au début de l'été 2003-2016, l'estuaire supérieur, peu profond, partiellement mélangé et fluvial, représentait une source nette de CO 2 à cause de la respiration microbienne de la matière organique allochthone ou autochthone, tandis que l'estuaire inférieur, plus profond, stratifié et maritime, constituait un puits net de CO 2 en raison de la photosynthèse (conditions favorables à la croissance du phytoplancton).Globalement, le large estuaire subarctique du Saint-Laurent était une très faible source de CO 2 vers l'atmosphère, avec un flux régional de CO 2 de 0.98 à 2.02 mmol C m -2 j -1 (0.36 à 0.74 mol C m -2 yr -1 ) similaire à celui des systèmes fortement stratifiés et/ou maritimes et les estuaires arctiques.The data analysis, the model development, the interpretation and synthesis of the results, the production of the figures, and the writing were done by the author of this thesis.Dr. Mucci contributed to the research by collecting the oceanographic data and by supervising and reviewing the work.Chapter 2 Spatial variability in surface-water pCO 2 and gas exchange in the world's largest semi-enclosed estuarine system: St. Lawrence Estuary (Canada)

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 score0.465
Threshold uncertainty score0.936

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0000.000

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 head0.023
GPT teacher head0.299
Teacher spread0.275 · 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
Published2017
Admission routes3
Has abstractyes

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