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Record W2625161456

Soil drought: Comparing tree species strategies for soil water uptake (using water stable isotopes). Impact on the carbon and water dynamic

2013· preprint· en· W2625161456 on OpenAlexaff
Bernard Longdoz, Marion Zapater, André Granier, Nathalie Bréda, Damien Bonal

Bibliographic record

VenueProdinra (INRA Bordeaux-Aquitaine) · 2013
Typepreprint
Languageen
FieldEnvironmental Science
TopicPlant Water Relations and Carbon Dynamics
Canadian institutionsImpact
Fundersnot available
KeywordsEnvironmental scienceSoil waterStable isotope ratioIsotopeSoil carbonSoil scienceHydrology (agriculture)Geology
DOInot available

Abstract

fetched live from OpenAlex

2003 drought was exceptionally severe in many European regions (Germany, France), in duration and intensity. The carbon and water net ecosystem exchange, measured continuously at 12 European sites, were reduced by drought, due to stomatal closure, when relative extractable water in the root zone (REW) dropped below 0.4. The question of the tree species influence on the response to drought came up. The behavior of 36 trees (4 broadleaf\nspecies) submitted to artificial drought was studied by using stable isotopes of water. The 18O and 2H labeling in surface soil water and deeper layers in the root zone combined with the sampling of tree xylem and transpiration allowed us to identify the different strategies of the tree species when soil water decrease.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.133
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
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 head0.021
GPT teacher head0.238
Teacher spread0.217 · 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.

Study designSimulation or modeling
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
Published2013
Admission routes1
Has abstractyes

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