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Vulnerability of mineral-associated soil organic carbon to climate across global drylands
Paloma Díaz‐Martínez, Fernando T. Maestre, Eduardo Moreno‐Jiménez, Manuel Delgado‐Baquerizo, David J. Eldridge, Hugo Sáiz, Nicolas Gross, Yoann Le Bagousse‐Pinguet, Beatriz Gozalo, Victoria Ochoa, Emilio Guirado, Miguel García‐Gómez, Enrique Valencia, Sergio Asensio, Miguel Berdugo, Jaime Martínez‐Valderrama, Betty J. Mendoza, Juan Carlos García‐Gil, Claudio Zaccone, Marco Panettieri, Pablo García‐Palacios, Wei Fan, Iria Benavente‐Ferraces, Ana Rey, Nico Eisenhauer, Simone Cesarz, Mehdi Abedi, Rodrigo J. Ahumada, Julio M. Alcántara, Fateh Amghar, Valeria Aramayo, Antonio I. Arroyo, Khadijeh Bahalkeh, Farah Ben Salem, Niels Blaum, Bazartseren Boldgiv, Matthew A. Bowker, Donaldo Bran, Cristina Branquinho, Chongfeng Bu, Yonatan Cáceres Escudero, Rafaella Canessa, Andrea P. Castillo‐Monroy, Ignacio Castro, Patricio Castro-Quezada, Roukaya Chibani, Abel Augusto Conceição, Courtney M. Currier, Anthony Darrouzet‐Nardi, Balázs Déak, Chris R. Dickman, David A. Donoso, Andrew J. Dougill, Jorge Durán, Hamid Ejtehadi, Carlos Iván Espinosa, Alex Fajardo, Mohammad Farzam, Daniela Ferrante, Lauchlan H. Fraser, Juan Gaitán, Elizabeth Gusman Montalván, Rosa Mary Hernández, Andreas von Heßberg, Norbert Hölzel, Elisabeth Huber‐Sannwald, Frederic Mendes Hughes, Oswaldo Jadán, Katja Geißler, Anke Jentsch, Mengchen Ju, Kudzai Farai Kaseke, Liana Kindermann, Jessica E. Koopman, Peter C. le Roux, Pierre Liancourt, Anja Linstädter, Jushan Liu, Michelle A. Louw, Gillian Maggs‐Kölling, Thulani P. Makhalanyane, Oumarou Malam Issa, Eugène Marais, Pierre Margerie, Antonio J. Mazaneda, Mitchel P. McClaran, João Vitor S. Messeder, Juan P. Mora, Gerardo Moreno, Seth M. Munson, Alice Nunes, Gabriel Oliva, Gastón R. Oñatibia, Brooke B. Osborne, Guadalupe Peter, Yolanda Pueyo, R. Emiliano Quiroga, Sasha C. Reed, Victor M. Reyes, Alexandra Rodríguez, Jan C. Ruppert, Osvaldo E. Sala, Ayman Salah, Julius Sebei, Michael Sloan, Shijirbaatar Solongo, Ilan Stavi, Colton Stephens, Alberto L. Teixido, Andrew D. Thomas, Heather L. Throop, Katja Tielbörger, Samantha K. Travers, James Val, Orsolya Valkó, Liesbeth van den Brink, Frederike Velbert, Wanyoike Wamiti, Deli Wang, Lixin Wang, Glenda M. Wardle, Laura Yahdjian, Eli Zaady, Juan M. Zeberio, Yuanming Zhang, Xiaobing Zhou, César Plaza
Bibliographic record
VenueNature Climate Change · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSoil Carbon and Nitrogen Dynamics
Canadian institutionsThompson Rivers University
FundersMinisterio de Ciencia e InnovaciónKing Abdullah University of Science and TechnologyEuropean CommissionNational Science FoundationUniversidad de AlicanteGeneralitat ValencianaHermon Slade Foundation
KeywordsSoil carbonEnvironmental scienceTotal organic carbonTopsoilCarbon fibersCarbon sequestrationEnvironmental chemistryParticulate organic carbonGlobal warmingCarbon cycleSoil organic matterClimate changeSoil scienceEcosystemSoil waterChemistryCarbon dioxideGeologyEcologyNutrientOceanography
Abstract
No abstract in any covered source. Its absence is recorded, not treated as a negative.
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.450
Threshold uncertainty score0.926
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 head0.285
Teacher spread0.264 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine 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
Citations80
Published2024
Admission routes1
Has abstractno