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Record W4388954007 · doi:10.5962/p.373826

Post-fire invasion of Nodding Thistle in a montane 'Poa labillardierei' community

2020· article· en· W4388954007 on OpenAlexaff
Steve Taylor, D. E. II. Townsend, H A Baker, Elizabeth MacPhee, Nicholas Thorne

Bibliographic record

VenueAustralasian Plant Conservation journal of the Australian Network for Plant Conservation · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant and animal studies
Canadian institutionsAlberta Environment and Protected Areas
Fundersnot available
KeywordsMontane ecologyThistleGeographyEcologyForestryBiology

Abstract

fetched live from OpenAlex

A high severity fire in Namadgi National Park, ACT, killed significant numbers of the mature tussock grass Poa labillardierei Steud.(River Tussock).The fire took place in Autumn 2018, and resulted in an extensive Carduus nutans L. (Nodding Thistle) invasion the following spring.Nodding Thistle has become the dominant species along the valley floor (25 ha).Standard control measures with selective herbicide have been used but intensive rehabilitation is required (leaky weirs, grazing exclusion) to encourage native plant regeneration.Lessons learnt include: 1) montane River Tussock communities along riparian areas are sensitive to hot fire, particularly when under drought stress; 2) Nodding Thistle invasion supports the 'Augmented' Intermediate Disturbance Hypothesis; and 3) prolonged drought, associated with climate change, is lowering the tolerance of montane River Tussock communities to fire, and reducing biotic resistance to invasive plants.

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 machine prediction

Teacher imitation

Not 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)0.000
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 score0.069
Threshold uncertainty score0.138

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.096
GPT teacher head0.233
Teacher spread0.137 · 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 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

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

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