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Tropical tree growth driven by dry-season climate variability
Pieter A. Zuidema, Flurin Babst, Peter Groenendijk, Valérie Trouet, Abrham Abiyu, Rodolfo Acuña-Soto, Eduardo Adenesky Filho, Raquel Alfaro‐Sánchez, José Roberto Vieira Aragão, Gabriel Assis-Pereira, Xue Bai, Ana Carolina Maioli Campos Barbosa, Giovanna Battipaglia, Hans Beeckman, Paulo César Botosso, Timothy J. Bradley, Achim Bräuning, Roel Brienen, Brendan M. Buckley, J. Julio Camarero, Ana Carvalho, Gregório Ceccantini, Librado R. Centeno-Erguera, Julián Cerano‐Paredes, Álvaro Agustín Chávez-Durán, Bruno Barçante Ladvocat Cintra, Malcolm K. Cleaveland, Camille Couralet, Rosanne D’Arrigo, Jorge I. del Valle, Oliver Dünisch, Brian J. Enquist, Karin Esemann‐Quadros, Zewdu Eshetu, Ze‐Xin Fan, M. Eugenia Ferrero, Esther Fichtler, Cláudia Fontana, Kainana S. Francisco, Aster Gebrekirstos, Emanuel Gloor, Daniela Granato‐Souza, Kristof Haneca, Grant L. Harley, Ingo Heinrich, Gerhard Helle, Janet G. Inga, Mahmuda Islam, Yumei Jiang, Mark Kaib, Zakia Hassan Khamisi, Marcin Koprowski, Bart Kruijt, Eva Layme, Rik Leemans, A. Joshua Leffler, Cláudio Sérgio Lisi, Neil J. Loader, Giuliano Maselli Locosselli, Lidio López, María I. López-Hernández, José Lousada, Hooz A. Mendivelso, Mulugeta Mokria, Valdinez Ribeiro Montóia, Eddy Moors, Cristina Nabais, Justine Ngoma, Francisco de Carvalho Nogueira, Juliano Morales de Oliveira, Gabriela Morais Olmedo, Mariana Alves Pagotto, Shankar Panthi, Gonzalo Pérez‐de‐Lis, Darwin Pucha-Cofrep, Nathsuda Pumijumnong, Mizanur Rahman, Jorge A. Ramírez, Edilson J. Requena‐Rojas, Adauto de Souza Ribeiro, Iain Robertson, Fidel A. Roig, Ernesto Alonso Rubio-Camacho, Ute Sass‐Klaassen, Jochen Schöngart, Paul R. Sheppard, Franziska Slotta, James H. Speer, Matthew D. Therrell, Benjamin Toirambe, Mário Tomazello Filho, Max C. A. Torbenson, Ramzi Touchan, Alejandro Venegas‐González, Ricardo Villalba, José Villanueva‐Díaz, Royd Vinya, Mart Vlam, Tommy H. G. Wils, Zhe‐Kun Zhou
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
VenueNature Geoscience · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicPlant Water Relations and Carbon Dynamics
Canadian institutionsWilfrid Laurier University
FundersNatural Environment Research CouncilSight Research UK
KeywordsPantropicalEnvironmental scienceTropical vegetationDry seasonCarbon sinkTropical and subtropical dry broadleaf forestsWet seasonTropical savanna climateTropicsPrecipitationClimatologyClimate changeBiomass partitioningVegetation (pathology)ProductivityBiomass (ecology)Sink (geography)Tropical climateAtmospheric sciencesEcologyAgroforestryGeographyBiologyEcosystem
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.
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 score0.200
Threshold uncertainty score0.991
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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 head0.002
GPT teacher head0.190
Teacher spread0.188 · 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 itQuick stats
Citations134
Published2022
Admission routes1
Has abstractno