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Record W4412024124 · doi:10.1101/2025.06.30.659355

Interannual surface water CO <sub>2</sub> and O <sub>2</sub> dynamics during fall in a small headwater lake

2025· preprint· en· W4412024124 on OpenAlexafffund
Brandon Blanchette, Morgan Botrel, Raoul‐Marie Couture, Alice H. Parkes, Roxane Maranger

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2025
Typepreprint
Languageen
FieldEarth and Planetary Sciences
TopicOcean Acidification Effects and Responses
Canadian institutionsUniversité du Québec à MontréalUniversité LavalMcGill UniversityUniversité de Montréal
FundersHydro-QuébecGroupe de recherche interuniversitaire en limnologieCanada First Research Excellence FundFonds Québécois de la Recherche sur la Nature et les TechnologiesNatural Sciences and Engineering Research Council of CanadaUniversité du Québec à Montréal
KeywordsEnvironmental scienceSurface waterHydrology (agriculture)GeologyEnvironmental engineeringGeotechnical engineering

Abstract

fetched live from OpenAlex

Abstract Lake metabolism is often quantified using continuous measures of dissolved oxygen (O 2 ), where a 1: -1 stoichiometry with carbon dioxide (CO 2 ) is assumed because of their roles in photosynthesis and respiration, respectively. However, many other physical, chemical, and biological processes decouple dissolved O 2 and CO 2 concentrations in lakes. Tracking departures from 1:-1 stoichiometry may provide insights into larger scale ecosystem functioning, particularly during fall when temperatures change and destratification occurs. Using continuous measures of both dissolved O 2 and CO 2 in a small temperate headwater lake, we looked at the interannual gas departure signals during fall over seven years. The beginning of fall, defined here as the start of leaf colour change, differed among years but coincided well with the onset of lake destratification and a shift in surface gas concentrations. Fall surface CO 2 accumulation rates varied considerably, whereas O 2 depletion rates were rather similar among years. Departure signals were broadly related to interannual differences in climate: more CO 2 accumulated in the surface during the hottest-wettest fall compared to the coldest-driest one (0.81 and 0.37 µmol L -1 d -1 , respectively), presumably from more catchment than hypolimnetic inputs. Lower CO 2 accumulation occurred during years with prolonged hypolimnetic hypoxia potentially through enhanced CO 2 consumption by methanogenesis. Other internal biological phenomena influenced fall departure signals, including a large metalimnetic oxygen peak, and higher fall surface primary production. We suggest gas departures during fall provide an integrative metabolic fingerprint for temperate stratified lakes, as well as insights into winter-priming conditions. Highlights Annual fall surface water CO 2 accumulation rates vary more than O 2 depletion rates. External fall inputs and internal processes influence gas departures differently. Fall gas departures may act as an integrative metabolic signal in temperate lakes.

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 score0.031
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.008
GPT teacher head0.192
Teacher spread0.184 · 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
Published2025
Admission routes2
Has abstractyes

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