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Record W4414179332 · doi:10.3897/vcs.160378

A National Vegetation Plot Database for Great Britain

2025· article· en· W4414179332 on OpenAlexaff
Zeke Marshall, Claire M. Wood, E. P. Mountford, J. S. Rodwell, Ian B. Strachan, Oliver L. Pescott, Irina Tatarenko, John Hodgson, Kevin J. Walker, James Latham, Lindsay C. Maskell, Andrea J. Britton, Robin J. Pakeman, Tom Dargie, Ruth J. Mitchell, Laurence Jones, Alison J. Hester, L.E. Ross, Sarah E. Dalrymple, Carly Stevens, E.C. Rowe, Frances McCullagh, Stephen G. Willis, R.H. Marrs, Lisa Norton, Simon M. Smart

Bibliographic record

VenueVegetation Classification and Survey · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBotany and Plant Ecology Studies
Canadian institutionsCollège Boréal
FundersCentre for Ecology and HydrologyNatural Environment Research CouncilScottish GovernmentRural and Environment Science and Analytical Services Division
KeywordsVegetation (pathology)Plot (graphics)Vegetation classificationNational databaseVegetation typesCrown (dentistry)

Abstract

fetched live from OpenAlex

The GBNVPD (GIVD-code EU-GB-007) is the new centralised repository for the collection and storage of standardised vegetation plot data in Great Britain and the Crown Dependencies. The initial version of the GBNVPD (v1.0) described in this long database report comprises data from 63 individual sources and contains 277,070 samples from 200,733 plots, with a total of 4,463,300 occurrences of 4,086 accepted taxa (3,464 accepted species), surveyed between 1949 and 2024. Of the 63 constituent datasets 52 are newly submitted to the EVA and 9 to ReSurveyEurope. The database is available under a discretionary mixed-access regime and will be maintained and updated continuously in response to further digitisation of historic paper records, collection of pre-existing digitised survey data, and addition of future survey data. Abbreviations : EVA = European Vegetation Archive; GB = Great Britain; GBNVPD = National Vegetation Plot Database for Great Britain and the Crown Dependencies; NVC = National Vegetation Classification; UKCEH = United Kingdom Centre for Ecology and Hydrology; UKSI = United Kingdom Species Inventory.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.243
Threshold uncertainty score0.383

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.094
GPT teacher head0.299
Teacher spread0.206 · 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 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
Published2025
Admission routes1
Has abstractyes

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