Relationship between soil phosphorus and runoff phosphorus losses from plot scale rainfall simulations on Manitoba soils
Bibliographic record
Abstract
Agricultural land is widely acknowledged as a primary non-point source of nutrients that affect the health of freshwater ecosystems throughout many parts of the world. Simulated rainfall-induced runoff trials were conducted at four P amended primary field sites under annual crop cultivation and three un-amended secondary field sites during the fall of 2009 and 2010. Highly significant (P <0.001) linear relationships were observed between measures of soil P and runoff TDP (r2 = 0.20–0.43). Olsen P was as accurate as other soil test methods for predicting runoff P losses. However, site, sampling year, runoff interval and crop residue management practices also affected these relationships. In particular, the predictability of these relationships on a site by site basis, as well as from one year to the next was extremely variable (r2 = 0.00-0.86), and declined significantly as the range of STP values decreased below approximately 80-100 mg P kg-1.
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 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".