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Record W4403114861 · doi:10.1126/sciadv.adq2654

Aridity drives the response of soil total and particulate organic carbon to drought in temperate grasslands and shrublands

2024· article· en· W4403114861 on OpenAlexaff
Baoku Shi, Manuel Delgado‐Baquerizo, Alan K. Knapp, Melinda D. Smith, Sasha C. Reed, Brooke B. Osborne, Yolima Carrillo, Fernando T. Maestre, Yu Zhu, Anping Chen, Kate Wilkins, Martin C. Holdrege, Andrew Kulmatiski, Catherine Picon‐Cochard, Christiane Roscher, Sally A. Power, Kerry Byrne, Amber C. Churchill, Anke Jentsch, Hugh A. L. Henry, Karen H. Beard, Max A. Schuchardt, Nico Eisenhauer, Rafael Otfinowski, Yann Hautier, Huitao Shen, Yonghui Wang, Zhongwu Wang, Chengliang Wang, Daniela Cusack, Alessandro Petraglia, Michele Carbognani, T’ai G. W. Forte, S. Luke Flory, Pengli Hou, Tao Zhang, Weifeng Gao, Wei Sun

Bibliographic record

VenueScience Advances · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSoil Carbon and Nitrogen Dynamics
Canadian institutionsUniversity of WinnipegWestern University
Fundersnot available
KeywordsShrublandEnvironmental scienceAridSoil carbonAridity indexTemperate climatePrecipitationTotal organic carbonSoil waterEcologyEcosystemSoil scienceGeographyBiology

Abstract

fetched live from OpenAlex

The increasing prevalence of drought events in grasslands and shrublands worldwide potentially has impacts on soil organic carbon (SOC). We leveraged the International Drought Experiment to study how SOC, including particulate organic carbon (POC) and mineral-associated organic carbon (MAOC) concentrations, responds to extreme drought treatments (1-in-100-year) for 1 to 5 years at 19 sites worldwide. In more mesic areas (aridity index > 0.65), SOC and POC concentrations decreased by 7.9% (±3.9) and 15.9% (±6.2) with drought, respectively, but there were no impacts on MAOC concentrations. However, drought had no impact on SOC, POC, or MAOC concentrations in drylands (aridity index < 0.65). The response of SOC to drought varied along an aridity gradient, concomitant with interannual precipitation variability and standing SOC concentration gradients. These findings highlight the differing response magnitudes of POC and MAOC concentrations to drought and the key regulating role of aridity.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.796
Threshold uncertainty score0.156

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.236
Teacher spread0.228 · 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 designBench or experimental
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

Citations52
Published2024
Admission routes1
Has abstractyes

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