Microbial carbon monoxide uptake in the St. Lawrence estuarine system
Bibliographic record
Abstract
MEPS Marine Ecology Progress Series Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout the JournalEditorsTheme Sections MEPS 389:17-29 (2009) - DOI: https://doi.org/10.3354/meps08175 Microbial carbon monoxide uptake in the St. Lawrence estuarine system Huixiang Xie1,*, Yong Zhang1,2, Karine Lemarchand1, Patrick Poulin1 1Institut des Sciences de la Mer, Université du Québec à Rimouski, 310 allée des Ursulines, Rimouski, Québec G5L 3A1, Canada 2Present address: Yantai Institute of Coastal Zone Research for Sustainable Development, Chinese Academy of Sciences, 17 Chunhui Road, Laishan District, 264003 Yantai, PR China ABSTRACT: Microbial uptake of carbon monoxide (CO) in the Gulf of St. Lawrence and the estuary of the St. Lawrence River, Canada, typically followed first-order kinetics at ambient CO concentrations, [CO], but saturation kinetics occasionally occurred in spring. The first-order uptake rate constant, Kco, decreased from the upper estuary (8.48 d–1) to the lower estuary (3.94 d–1) and the gulf (1.32 d–1). Kco inversely varied with tide and decreased from its highest value in summer (7.52 d–1) to intermediate values in spring (5.15 d–1) and autumn (4.12 d–1), and to its lowest value in winter (1.09 d–1). Maximum Kco values always occurred in a turbidity maximum zone near the head of the estuary. An empirical model was proposed to account for the effect of particle-associated bacteria on Kco. Temperature dependence of Kco obeyed Arrhenius behavior with the activation energy being lower in the upper estuary (21.5 kJ mol–1) than in the lower estuary and gulf (32.7 kJ mol–1). The combination of bacterial abundance and temperature can serve as an all-season predictive tool for Kco. CO uptake rate versus [CO] plots show typical Michaelis-Menten kinetics or inhibition behavior at elevated [CO]. Km was low and relatively invariable: 3.2 nmol l–1 [CO] in autumn and 4.9 nmol l–1 [CO] in winter. CO specific affinity in autumn (1.25 l (mg of cell)–1 h–1) more than doubled that observed in winter (0.51 l (mg of cell)–1 h–1). This study demonstrated strong seasonal variations in microbial CO uptake and complex influences of various biotic and abiotic variables on this process. KEY WORDS: Carbon monoxide · Microbial uptake · Seasonal variation · Temperature dependence · Bacteria · Suspended particles · Estuarine waters · Gulf of St. Lawrence Full text in pdf format PreviousNextCite this article as: Xie H, Zhang Y, Lemarchand K, Poulin P (2009) Microbial carbon monoxide uptake in the St. Lawrence estuarine system. Mar Ecol Prog Ser 389:17-29. https://doi.org/10.3354/meps08175Export citation RSS - Facebook - Tweet - linkedIn Cited by Published in MEPS Vol. 389. Online publication date: September 04, 2009 Print ISSN: 0171-8630; Online ISSN: 1616-1599 Copyright © 2009 Inter-Research.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".