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Record W7098129084

Cunninghamia 8(4): 2004 Bell, Distribution and habitat of Angophora inopina, NSW Central Coast 477 Distribution and habitat of the vulnerable tree species, Angophora inopina (Myrtaceae), on the Central Coast of New South Wales

2015· article· en· W7098129084 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBiological Control of Invasive Species
Canadian institutionsnot available
Fundersnot available
KeywordsHabitatWoodlandVegetation (pathology)ThicketMangroveSwampEucalyptusFishingHabitat fragmentation
DOInot available

Abstract

fetched live from OpenAlex

Abstract: Angophora inopina is a vulnerable tree species occurring principally in Wyong and Lake Macquarie local government areas on the Central Coast, with disjunct populations as far north as Bulahdelah on the North Coast of NSW. The largest and most intact stands occur within the Wyee-Morisset areas although even here significant fragmentation is evident. North of Toronto, there are small and scattered residual populations as far as Barnsley near West Wallsend in Lake Macquarie. A total area of occupied habitat of approximately 1500 ha is estimated. Cluster analysis of floristic information showed that Angophora inopina occurs within three broad habitat types within the Central Coast bioregion, centred mainly on the Gorokan, Doyalson and Wyong soil landscapes. Hybrid forms of the species also occur on the Cockle Creek landscape in northern Lake Macquarie. Most stands are evident within open woodland/ forest vegetation where Eucalyptus haemastoma, Corymbia gummifera, and Eucalyptus capitellata dominate with Angophora inopina. Other populations occur in wet heath, and swamp woodland environments where sedge species are characteristic. Conservation of Angophora inopina will be most effectively and efficiently achieved if ecological processes that operate across the landscape are maintained. Processes such as fragmentation, altered fire regimes or invasion of habitat by exotic species must be managed in the long-term. These are all significant threats to this species, and will best be effectively managed in the larger remnants in a landscape approach. Such threats are generally associated with urban and agricultural expansion in the area, and these are therefore the most pressing issues to be managed.

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)0.000
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 score0.188
Threshold uncertainty score0.448

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.034
GPT teacher head0.207
Teacher spread0.173 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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