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Consistent climatic controls of global wood density among angiosperms and gymnosperms
Lidong Mo, Thomas W. Crowther, Daniel S. Maynard, Johan van den Hoogen, Haozhi Ma, Lalasia Bialic‐Murphy, Susanne S. Renner, Jingjing Liang, Sergio de‐Miguel, G.J. Nabuurs, Peter B. Reich, Oliver L. Phillips, Meinrad Abegg, C. Yves Adou Yao, Giorgio Alberti, Angélica M. Almeyda Zambrano, Braulio Vílchez Alvarado, Esteban Álvarez‐Dávila, Patricia Álvarez-Loayza, Luciana F. Alves, Iêda Leão do Amaral, Christian Ammer, Clara Antón‐Fernández, Alejandro Araujo‐Murakami, Luzmila Arroyo, Valerio Avitabile, Gerardo A. Aymard C., Timothy R. Baker, Radomir Bałazy, Olaf Bánki, Jorcely Barroso, Meredith L. Bastian, Jean‐François Bastin, Luca Birigazzi, Philippe Birnbaum, Robert Bitariho, Pascal Boeckx, Frans Bongers, Coline C. F. Boonman, Olivier Bouriaud, Pedro H. S. Brancalion, Susanne Brandl, Francis Brearley, Roel Brienen, Eben N. Broadbent, Helge Bruelheide, Filippo Bussotti, Roberto Cazzolla Gatti, Ricardo G. César, Goran Češljar, Robin L. Chazdon, Han Y. H. Chen, Chelsea Chisholm, Hyunkook Cho, Emil Cienciala, Connie J. Clark, David B. Clark, Gabriel Dalla Colletta, David A. Coomes, Fernando Cornejo Valverde, José Javier Corral‐Rivas, Philip M. Crim, Jonathan Cumming, Selvadurai Dayanandan, André Luís de Gasper, Mathieu Decuyper, Géraldine Derroire, Ben DeVries, Ilija Djordjević, Jiří Doležal, Aurélie Dourdain, Nestor Laurier Engone Obiang, Brian J. Enquist, Teresa J. Eyre, Adandé Belarmain Fandohan, Tom M. Fayle, Ted R. Feldpausch, Leandro Valle Ferreira, Leena Finér, Markus Fischer, Christine Fletcher, Lorenzo Frizzera, Javier G. P. Gamarra, Damiano Gianelle, Henry A. Glick, David J. Harris, Andy Hector, Andreas Hemp, Geerten Hengeveld, Bruno Hérault, John Herbohn, Martin Herold, Peter Hietz, Annika Hillers, Eurídice N. Honorio Coronado, Cang Hui, Thomas Ibanez, Nobuo Imai, Andrzej M. Jagodziński, Bogdan Jaroszewicz, Vivian Kvist Johannsen, Carlos Alfredo Joly, Tommaso Jucker, Ilbin Jung, Viktor Karminov, Kuswata Kartawinata, Elizabeth Kearsley, David Kenfack, Deborah Kennard, Sebastian Kepfer‐Rojas, Gunnar Keppel, Mohammed Latif Khan, Timothy J. Killeen, Hyun Seok Kim, Kanehiro Kitayama, Henn Korjus, Florian Kraxner, Dmitry E. Kucher, Diana Laarmann, Mait Lang, Simon L. Lewis, Yuanzhi Li, Gabriela López‐González, Huicui Lu, Н. В. Лукина, Brian Maitner, Yadvinder Malhi, Éric Marcon, Beatriz Schwantes Marimon, Ben Hur Marimon, Andrew Marshall, Emanuel H. Martin, James K. McCarthy, Jorge A. Meave, Omar Melo‐Cruz, Casimiro Mendoza, Irina Polo, Stanisław Miścicki, Cory Merow, Abel Monteagudo Mendoza, Vanessa de Souza Moreno, Sharif A. Mukul, Philip Mundhenk, María Guadalupe Nava‐Miranda, David Neill, Victor J. Neldner, Radovan Nevenić, Michael R. Ngugi, Pascal A. Niklaus, Petr Ontikov, Edgar Ortiz‐Malavasi, Yude Pan, Alain Paquette, Alexander Parada, E. I. Parfenova, Minjee Park, Marc Parren, N. Parthasarathy, Pablo L. Peri, Sebastian Pfautsch, Nicolas Picard, María Teresa Fernández Piedade, Daniel Piotto, Nigel C. A. Pitman, Lourens Poorter, Axel Dalberg Poulsen, John R. Poulsen, Hans Pretzsch, Fredy Ramírez, Zorayda Restrepo, Sarah J. Richardson, Mirco Rodeghiero, Samir Rolim, Anand Roopsind, Francesco Rovero, Ervan Rutishauser, Purabi Saikia, Christian Salas, Philippe Saner, Peter Schall, Mart‐Jan Schelhaas, Dmitry Schepaschenko, Michael Scherer‐Lorenzen, Bernhard Schmid, Jochen Schoengart, Eric B. Searle, Vladimír Šebeň, Josep M. Serra‐Diaz, Douglas Sheil, А. Shvidenko, Ana da Silva, Javier E. Silva‐Espejo, Marcos Silveira, James Singh, Plínio Sist, Ferry Slik, Bonaventure Sonké, Ênio Sosinski, Alexandre de Souza, Krzysztof Stereńczak, Jens‐Christian Svenning, Miroslav Svoboda, Ben Swanepoel, Natália Targhetta, N. M. Tchebakova, Hans ter Steege, Raquel Thomas‐Caesar, Елена Тихонова, Peter M. Umunay, V. А. Usoltsev, Renato Valencia, Fernando Valladares, Peter M. van Bodegom, Fons van der Plas, Tran Van Do, Michael E. Van Nuland, Rodolfo Vásquez, Hans Verbeeck, Hélder Viana, Alexander Christian Vibrans, Simone Aparecida Vieira, Klaus von Gadow, Huifang Wang, James Watson, Gijsbert D. A. Werner, Florian Wittmann, Hannsjörg Woll, Verginia Wortel, Roderick Zagt, Tomasz Zawiła‐Niedźwiecki, Chunyu Zhang, Xiuhai Zhao, Mo Zhou, Zhi‐Xin Zhu, Irié C. Zo‐Bi, Constantin M. Zohner
Bibliographic record
VenueResearch Square · 2024
Typepreprint
Languageen
FieldEnvironmental Science
TopicForest ecology and management
Canadian institutionsUniversité du Québec à MontréalUniversity of GuelphConcordia UniversityLakehead University
FundersFundação para a Ciência e a TecnologiaNatural Environment Research CouncilCentre de Coopération Internationale en Recherche Agronomique pour le DéveloppementCouncil for Higher EducationChina Scholarship CouncilConselho Nacional de Desenvolvimento Científico e TecnológicoDanmarks GrundforskningsfondSight Research UKDeutsche ForschungsgemeinschaftNational Research FoundationEuropean CommissionSmithsonian Tropical Research InstituteGeneralitat de CatalunyaUniversity of LeedsSmithsonian InstitutionNational Council for Higher EducationEuropean Space AgencyInternational Institute for Applied Systems AnalysisSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungGrantová Agentura České RepublikyGordon and Betty Moore FoundationVillum Fonden
KeywordsGeographyBiologyBotany
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.005
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 head0.022
GPT teacher head0.324
Teacher spread0.302 · 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 source (direct Gemma or distilled Codex), 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
Citations1
Published2024
Admission routes1
Has abstractno