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AN ANALYTICAL MODEL OF SOIL ORGANIC CARBON DYNAMICS BASED ON A SIMPLE "HOCKEY STICK" FUNCTION

2001· article· en· W2327547389 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSoil Science · 2001
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSoil Carbon and Nitrogen Dynamics
Canadian institutionsAlberta Environment and Protected AreasUniversity of Alberta
Fundersnot available
KeywordsSoil carbonResidue (chemistry)NitrogenCarbon fibersTotal organic carbonSoil waterChemistryFunction (biology)Soil scienceEnvironmental chemistryMathematicsEnvironmental scienceOrganic chemistry

Abstract

fetched live from OpenAlex

We developed a simple analytical model for carbon and nitrogen dynamics in soils. Description of the soil C and N dynamics focus on the total carbon residue function, R, defined as the fraction of original plant carbon input remaining in the soil as a function of time, and nitrogen concentration function, N, defined as the N concentration of the carbon residue as a function of R. A simple two-parameter function, R = Exp(−(kt)α), was used for total carbon residue function. N concentration of carbon residue is derived to be a linear function of R. We tested our model with data reported in the literature. The model parameters (k and α) were calculated from independently determined gross turnover time and 14C age of soil organic carbon. Our model accurately predicts C and N dynamics in response to fertilization and manure application for time periods ranging from a few months to more than 150 years.

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.

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)0.001
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.700
Threshold uncertainty score0.600

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
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 head0.020
GPT teacher head0.237
Teacher spread0.216 · 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