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Record W4310525010 · doi:10.1002/lol2.10295

Estimating ocean net primary productivity from daily cycles of carbon biomass measured by profiling floats

2022· article· en· W4310525010 on OpenAlexafffund
Adam C. Stoer, Katja Fennel

Bibliographic record

VenueLimnology and Oceanography Letters · 2022
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine and coastal ecosystems
Canadian institutionsDalhousie University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPrimary productionEnvironmental scienceTemperate climateBiogeochemistryPrimary productivityPhotic zoneBiomass (ecology)Southern HemisphereProductivityCarbon cycleTonneEcosystemAtmospheric sciencesOceanographyOceanic basinPrimary producersClimatologyEcologyStructural basinNutrientGeologyGeographyPhytoplanktonBiology

Abstract

fetched live from OpenAlex

Abstract The dependence of net primary productivity (NPP), a central metric in ecology and biogeochemistry, on sunlight drives daily cycles in carbon biomass in the ocean's euphotic zone. In this study, we infer NPP from the daily cycle of biomass. These estimates were extracted from bio‐optical measurements collected by an array of robotic profilers distributed across temperate and polar regions of the southern hemisphere. We estimate NPP in the region south of 30°S as ~11.4 Pg C yr −1 , and south of 50°S (the Southern Ocean) as ~4.6 Pg C yr −1 . We obtain comparable estimates when complementary daily cycles of oxygen are used instead (11.7 and 3.5 Pg C yr −1 ). This approach will be valuable for providing the basin‐scale, ground‐truthed information necessary to assess changes in subsurface primary productivity related to climate.

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)0.000
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 score0.012
Threshold uncertainty score0.668

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.008
GPT teacher head0.173
Teacher spread0.165 · 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

Citations20
Published2022
Admission routes2
Has abstractyes

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