The reptile, bird and small mammal fauna of Dune Mallee Woodlands in south-western New South Wales
Bibliographic record
Abstract
Baseline surveys of reptiles, birds and small mammals that occur in Dune Mallee woodlands in the Lower Murray Darling catchment of south-western New South Wales were conducted at 60 sites between October 2007 and March 2008. These surveys comprise the first round of a catchmentwide monitoring programme to obtain a measure of the distribution and abundance of 21 priority threatened fauna species that inhabit Dune Mallee Woodlands. A total of 127 fauna species were recorded, which included 19 of the possible 21 threatened fauna species. The 127 species comprised 37 reptile species, 15 bat species, three small mammal species and 72 bird species. The mean species richness recorded at each three hectare survey site for birds was 14.7, reptiles 7.1, small ground dwelling mammals 0.5 and bats 3.0. Mean abundance for birds was 42.7, reptiles 13.1, small ground dwelling mammals 1.0 and microbats 3.7. These surveys represent the most comprehensive inventory of fauna of the Dune Mallee Woodlands of the Lower Murray Darling catchment. Furthermore, these surveys are a platform upon which to detect changes in abundance and persistence of priority threatened fauna species, as a way of measuring outcomes of property management agreements and offset reserves where land management has been enhanced by actions such as exotic herbivore removal and predator control.
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 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.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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.
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.
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".