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Record W2793945279 · doi:10.1002/lol2.10065

Beyond respiration: Controls on lateral carbon fluxes across the terrestrial‐aquatic interface

2018· article· en· W2793945279 on OpenAlexaff
Suzanne E. Tank, Jason B. Fellman, Eran Hood, Emma S. Kritzberg

Bibliographic record

VenueLimnology and Oceanography Letters · 2018
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine and coastal ecosystems
Canadian institutionsUniversity of Alberta
FundersVetenskapsrådetSvenska Forskningsrådet Formas
KeywordsBiogeochemistryBiogeochemical cycleCarbon cycleEnvironmental scienceTerrestrial ecosystemSoil carbonContext (archaeology)EcosystemCarbon fibersGlobal changeAquatic ecosystemDissolved organic carbonAtmospheric carbon cycleClimate changeGreenhouse gasEcologyEnvironmental chemistrySoil waterSoil scienceChemistryGeologyBiology

Abstract

fetched live from OpenAlex

Abstract Understanding what controls the lateral flux of organic and inorganic carbon from landscapes to surface waters is key to fully understanding terrestrial ecosystem carbon balances, the biogeochemistry of freshwaters, and how the hydrologically‐mediated movement of carbon between these ecosystems may be altered by global change. In this paper, we synthesize current knowledge and identify major knowledge gaps in our understanding of land‐to‐water fluxes of dissolved and particulate organic carbon, CO 2 , and bicarbonate by exploring: (1) how variations in soil carbon stocks affect dissolved and gaseous carbon production in the soil profile and transport via terrestrial‐aquatic flow paths, and (2) the effect of global change on these lateral carbon fluxes. Our aim is to develop a roadmap to guide future research on terrestrial‐aquatic linkages in the carbon cycle within the context of changes in climate, global biogeochemical cycles, and land use.

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 score0.042
Threshold uncertainty score0.455

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 head0.009
GPT teacher head0.218
Teacher spread0.209 · 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

Citations146
Published2018
Admission routes1
Has abstractyes

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