A conservation auction for landscape linkage in the southern Desert Uplands, Queensland
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Conservation auctions are a type of market-based instrument (MBI) that can achieve a more cost-efficient allocation of public funds than approaches such as devolved grants. In this paper, the conduct of a multiple round conservation auction to improve biodiversity management in a rangelands area is outlined. The auction was designed to develop a wildlife corridor across the southern Desert Uplands bioregion in Queensland and to improve management of rangelands areas. The conservation auction incorporated two important new design features. First, there was a need to promote landholder cooperation so that proposed areas for better land management were aligned and connected across the region. The second innovative design feature was to hold multiple bidding (three) rounds, which differs from the standard application of a single bidding round. The auction outcomes resulted in conservation contracts covering 85 000 ha of remnant vegetation awarded at an average cost of $2* per hectare per annum. Although complete landscape connectivity across the Desert Uplands was not achieved, over 70% of the successful bids, accounting for over 62 000 ha (77% of the total bid area), were part of a group that formed a distinct corridor or landscape linkage with only single or part-property gaps. The results also indicate that multiple bidding rounds improved auction efficiency (for the government), although there was little improvement in connectivity. Sixty-six percent more environmental benefit units could be purchased for the given budget of $350 000 between rounds one and three.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| 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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it