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Hotspots of biogeochemical activity linked to aridity and plant traits across global drylands
David J. Eldridge, Jingyi Ding, Josh Dorrough, Manuel Delgado‐Baquerizo, Osvaldo E. Sala, Nicolas Gross, Yoann Le Bagousse‐Pinguet, Max Mallen‐Cooper, Hugo Sáiz, Sergio Asensio, Victoria Ochoa, Beatriz Gozalo, Emilio Guirado, Miguel García‐Gómez, Enrique Valencia, Jaime Martínez‐Valderrama, César Plaza, Mehdi Abedi, Negar Ahmadian, Rodrigo J. Ahumada, Julio M. Alcántara, Fateh Amghar, Luísa Azevedo, Farah Ben Salem, Miguel Berdugo, Niels Blaum, Bazartseren Boldgiv, Matthew A. Bowker, Donaldo Bran, Chongfeng Bu, Rafaella Canessa, Andrea P. Castillo‐Monroy, Ignacio Castro, Patricio Castro-Quezada, Simone Cesarz, Roukaya Chibani, Abel Augusto Conceição, Anthony Darrouzet‐Nardi, Yvonne C. Davila, Balázs Déak, Paloma Díaz‐Martínez, David A. Donoso, Andrew J. Dougill, Jorge Durán, Nico Eisenhauer, Hamid Ejtehadi, Carlos Iván Espinosa, Alex Fajardo, Mohammad Farzam, Ana Foronda, Jorgelina Franzese, Lauchlan H. Fraser, Juan Gaitán, Katja Geißler, Sofía González, Elizabeth Gusmán‐Montalván, Rosa Mary Hernández, Norbert Hölzel, Frederic Mendes Hughes, Oswaldo Jadán, Anke Jentsch, Mengchen Ju, Kudzai Farai Kaseke, Melanie Köbel, Anika Lehmann, Pierre Liancourt, Anja Linstädter, Michelle A. Louw, Quanhui Ma, Mancha Mabaso, Gillian Maggs‐Kölling, Thulani P. Makhalanyane, Oumarou Malam Issa, Eugène Marais, Mitchel P. McClaran, Betty Mendoza, Vincent Mokoka, Juan P. Mora, Gerardo Moreno, Seth M. Munson, Alice Nunes, Gabriel Oliva, Gastón R. Oñatibia, Brooke B. Osborne, Guadalupe Peter, Margerie Pierre, Yolanda Pueyo, R. Emiliano Quiroga, Sasha C. Reed, Ana Rey, Pedro J. Rey, Víctor Manuel Reyes Gómez, Víctor Rolo, Matthias C. Rillig, Peter C. le Roux, Jan C. Ruppert, Ayman Salah, Phokgedi Julius Sebei, Anarmaa Sharkhuu, Ilan Stavi, Colton Stephens, Alberto L. Teixido, Andrew D. Thomas, Katja Tielbörger, Silvia Torres Robles, Samantha K. Travers, Orsolya Valkó, Liesbeth van den Brink, Frederike Velbert, Andreas von Heßberg, Wanyoike Wamiti, Deli Wang, Lixin Wang, Glenda M. Wardle, Laura Yahdjian, Eli Zaady, Yuanming Zhang, Xiaobing Zhou, Fernando T. Maestre
Bibliographic record
VenueNature Plants · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicEcology and Vegetation Dynamics Studies
Canadian institutionsThompson Rivers University
FundersHORIZON EUROPE Marie Sklodowska-Curie ActionsAgencia Estatal de InvestigaciónMinisterio de Ciencia e InnovaciónFundamental Research Funds for the Central UniversitiesBundesministerium für Bildung und ForschungNational Natural Science Foundation of ChinaEuropean CommissionGeneralitat ValencianaHermon Slade FoundationNational Science Foundation
KeywordsHerbivoreAridGrazingGrazing pressurePerennial plantShrubOvergrazingEcologyBiodiversityBiologySoil fertilityAgroforestryEcosystemEcosystem servicesGeographyAgronomySoil water
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)0.000
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 score0.079
Threshold uncertainty score0.321
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 head0.007
GPT teacher head0.275
Teacher spread0.268 · 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
Citations52
Published2024
Admission routes1
Has abstractno