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Record W4416143213 · doi:10.1038/s41597-025-06045-x

Plant traits and associated ecological data from Afromontane grasslands of Maloti-Drakensberg, South Africa

2025· article· en· W4416143213 on OpenAlexaff
Aud H. Halbritter, Vigdis Vandvik, Nicole N. Bison, Vincent Ralph Clark, Marcella Cross, Michelle Greve, Julia Kemppinen, Nicola Kühn, Brian Maitner, Sean T. Michaletz, Jocelyn Navarro, Pekka Niittynen, Peter C. le Roux, Joseph D. White, B. Abebe, Nadine Michaela Arzt, Ludwig Baldaszti, Lina Aragón, Samuel Beale, Kristine Birkeli, Anya Palm Courtenay, Hilary Rose Dawson, Liliya Kirilova Draganova, Lauren Gillespie, Kaleb A. Goff, Anna Tariro Deirdre Gowera, Axel Gualdoni-Becerra, Onalenna Gwate, Liyenne Wu Chen Hagenberg, Priya Hansda, Rebecca M. B. Harris, Joshua S. Lee, Michelle A. Louw, Aino-Maja Määttänen, Nathan Malamud, Lesego Malekana, Bridgette Mc Millan, Nasser Rabi, Michael Mustri, Samson Tsegaye Mekasha, Shiza Nasir, Francisco Navarro‐Rosales, Bismark Ofosu‐Bamfo, Akuonani Zakeyo Phiri, Eline S. Rentier, Carmen Vázquez‐Ribera, Tin W. Satriawan, Imke Chrissie Smit, Paul Abayomi Sobowale Soremi, Ragnhild Svensen Stokka, Jiří Jiří Šubrt, Jonas Trepel, Jakub D. Wieczorkowski, Brian J. Enquist

Bibliographic record

VenueScientific Data · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicRemote Sensing in Agriculture
Canadian institutionsUniversity of British Columbia
FundersSenter for Internasjonalisering av UtdanningUniversitetet i Bergen
KeywordsTraitEcosystemVegetation (pathology)Vascular plantTaxonClimate changePlant communityBiodiversityTerrestrial plant

Abstract

fetched live from OpenAlex

The Afromontane region harbors ancient grasslands with high levels of endemism, now under threat from land-use change, biological invasions and encroachment, and climate warming. As part of an international Plant Functional Traits Course we collected comprehensive trait data in five sites along an elevation gradient from 2,000-2,800 m a.s.l. and in a climate warming experiment at 3,064 m a.s.l. in the Maloti-Drakensberg, South Africa. We sampled 24,405 aboveground and 94 root trait measurements from 171 vascular plant taxa paired with 11 other datasets reflecting vegetation and structure, leaf and ecosystem carbon and water fluxes, leaf hyperspectral reflectance, and microclimatic and environmental data. Our data provide the first recorded trait data for 47 vascular plant species and more than double the trait data coverage from the Maloti-Drakensberg (106% increase). This study offers insights into plant and ecosystem functioning, provides a baseline for assessing impacts of environmental change, builds local competence, and aligns with similar data from China, Svalbard, Peru, and Norway.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.912
Threshold uncertainty score0.500

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.004
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 head0.041
GPT teacher head0.238
Teacher spread0.197 · 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 designNot applicable
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

Citations0
Published2025
Admission routes1
Has abstractyes

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