Capture of agricultural surplus water determines the productivity and scale of new low-rainfall woody crop industries
Bibliographic record
Abstract
This paper presents a conceptual model for estimating the maximum scale of biomass processing industry that may be supported by woody crops grown in the medium and low rainfall agricultural regions of southern Australia. The model integrates paddock scale economics, water capture by woody crops, conversion of water to woody biomass, and estimation of suitable area. It enables estimates to be made of the maximum scale of implementation of commercial woody crops in various climatic regions, and the maximum amount of woody biomass that could be produced commercially within an economic transport distance of a processing facility. To demonstrate the utility of the model, potential biomass supply is estimated for 2 Western Australian wheatbelt towns, Merredin and Narrogin. These estimates are compared with the feedstock requirements of a range of different processing industries. This paper demonstrates that the rate of converting water to biomass and water capture biomass price are key determinants of the potential scale of biomass crops and processing industries in the southern Australian wheat and wool belts and hence the potential contribution of woody crops to dryland salinity management.
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How this classification was reachedexpand
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 | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".