Relic bilby (Macrotis lagotis) refuge burrows: assessment of potential contribution to a rangeland restoration program
Bibliographic record
Abstract
In harsh, resource-limited rangelands, plants and other structures, such as animal burrows, can ameliorate extreme microclimate conditions and increase resource availability for other species. The aim of this study was to determine whether relic bilby (Macrotis lagotis) refuge burrows had the potential to contribute to a rangeland restoration program by moderating microclimate and accumulating resources. During the day, the burrows maintained significantly higher relative humidity than control microsites. At night, temperature was significantly higher and humidity was significantly lower in the burrows than the control microsites. Both temperature and humidity were also significantly less variable in the burrows. There was some overlap between burrows and control microsites in soil chemistry, but burrows were significantly higher in soil moisture, pH(CaCl2), exchangeable magnesium, exchangeable potassium, mineral nitrogen, and total cation exchange capacity, and significantly lower in bio-available aluminium. Soils in burrows contained three times more mineral nitrogen, which has been previously shown to increase plant diversity and abundance in the presence of additional moisture. These results suggest the relic bilby burrows could potentially provide more suitable habitats for the establishment and productivity of other species by moderating microclimates, accumulating nutrients and soil moisture, and ameliorating the potentially detrimental effects of bio-available aluminium.
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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 | 0.000 | 0.000 |
| 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".