The importance of seasonality in the timing of flora surveys in the South and Central Western Slopes of New South Wales.
Bibliographic record
Abstract
Semi-permanent quadrats, located in the South and Central Western Slopes botanical regions of New South Wales, were assessed to indicate suitable periods of the year to conduct surveys of botanical diversity. The quadrats were located in woodland communities with a generally herbaceous understorey, and subject to a wide range of domestic stock grazing intensities. In the mid to western South Western Slopes (SWS) the greatest number of species was generally recorded in an October survey. The main exception was in degraded areas (low species diversity, high proportion of annual weed species), where similar results were recorded in September and October. In the cooler and wetter eastern SWS a relatively high proportion of species were recorded in October to early December surveys. However, when compared to species totals compiled from multiple assessments in all seasons, or from August to November, a single optimal survey usually recorded only 60'75% of the plant species at a site. Surveys in mid to late summer, autumn and early winter usually recorded less than 50% of the plant species present. The results reflect the prevailing Mediterranean-type climate, and that the ground layer vegetation (primarily comprised of annuals and herbaceous perennials) dominates the species diversity.
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 | 0.001 | 0.003 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 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".