Soil water recharge for grassed and forested land covers on the Oak Ridges Moraine, southern Ontario, Canada
Bibliographic record
Abstract
Soil water recharge (R) below 1 m depth was estimated via a 1-d water balance for grasslands, hardwood stands and red pine plantations on the Oak Ridges Moraine (ORM) in southern Ontario, Canada. Annual R values (431–696 mm) were in the order of previous estimates for outcropping sands and gravels on the ORM (∼400 mm); however, they only partially supported hypothesized differences in R between land covers. Annual R was similar for grasslands and hardwood stands and exceeded that for red pine plantations. However, there were no consistent differences in R between land covers for growing or dormant seasons, due to relatively large uncertainties for R estimates as well as inter-site differences in the soil's ability to store and transmit inputs below 1 m. Nevertheless, shifts in annual R appear to have accompanied historical land cover changes from hardwood-conifer stands → agricultural fields → red pine plantations → regenerating hardwoods. Growing season R in hardwoods makes a larger contribution to total R than for other land covers, partly due to spatially focused throughfall and stemflow contributions to R. Results highlight the role of land cover differences when assessing spatial variations in R along the ORM.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".