MétaCan
Menu
Back to cohort
Record W4200583974 · doi:10.1038/s41467-021-26943-z

Sea-ice derived meltwater stratification slows the biological carbon pump: results from continuous observations

2021· article· en· W4200583974 on OpenAlexafffundabout
Wilken‐Jon von Appen, Anya M. Waite, Melanie Bergmann, Christina Bienhold, Olaf Boebel, Astrid Bracher, Boris Cisewski, Jonas Hagemann, Mario Hoppema, Morten Hvitfeldt Iversen, Christian Konrad, Thomas Krumpen, Normen Lochthofen, Katja Metfies, Barbara Niehoff, Eva‐Maria Nöthig, Autun Purser, Ian Salter, Matthias Schaber, Daniel Scholz, Thomas Soltwedel, Sinhué Torres‐Valdés, Claudia Wekerle, Frank Wenzhöfer, Matthias Wietz, Antje Boëtius

Bibliographic record

VenueNature Communications · 2021
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsDalhousie University
FundersNational Centers for Environmental InformationNational Oceanic and Atmospheric AdministrationOcean Frontier InstituteHelmholtz AssociationUniversität Bremen
KeywordsMeltwaterStratification (seeds)Sea iceOceanographyEnvironmental scienceBiological pumpAtmospheric sciencesCarbon cycleGeologyMeteorologyBiologyEcologySnowPhysicsEcosystem

Abstract

fetched live from OpenAlex

The ocean moderates the world's climate through absorption of heat and carbon, but how much carbon the ocean will continue to absorb remains unknown. The North Atlantic Ocean west (Baffin Bay/Labrador Sea) and east (Fram Strait/Greenland Sea) of Greenland features the most intense absorption of anthropogenic carbon globally; the biological carbon pump (BCP) contributes substantially. As Arctic sea-ice melts, the BCP changes, impacting global climate and other critical ocean attributes (e.g. biodiversity). Full understanding requires year-round observations across a range of ice conditions. Here we present such observations: autonomously collected Eulerian continuous 24-month time-series in Fram Strait. We show that, compared to ice-unaffected conditions, sea-ice derived meltwater stratification slows the BCP by 4 months, a shift from an export to a retention system, with measurable impacts on benthic communities. This has implications for ecosystem dynamics in the future warmer Arctic where the seasonal ice zone is expected to expand.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.043
Threshold uncertainty score0.769

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.044
GPT teacher head0.252
Teacher spread0.208 · 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 teacher head, 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

Citations103
Published2021
Admission routes3
Has abstractyes

Explore more

Same venueNature CommunicationsSame topicArctic and Antarctic ice dynamicsFrench-language works237,207