Soil and leaf analysis of fertilized sugar maple stands after ice storm damage
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
Lime and/or PK fertilizers were applied as remedial soil treatments to 33 sugar maple (Acer saccharum Marsh.) woodlots established on a broad range of sites in eastern Ontario. All woodlots were actively used for maple syrup production and had suffered varying degrees of crown damage as a result of the 1998 ice storm. Soil and foliar samples were collected one and three growing seasons after treatment to assess changes in soil fertility and nutrition of these stands. Except for Ca from liming, the treatments significantly increased soil supply of added elements (P, K, Ca or Mg) as measured by standard laboratory methods. These effects may be relatively short-lived, as soil nutrient levels on treatment plots had started to decline by the end of the third season after treatment. Liming alleviated acidity on acid soils, but pH of neutral calcareous soils was unaffected, thus allaying initial concerns that liming may be "toxic" on these soils. The liming response was rapid, and persisted into the third growing season. Nutrient responses in soils were reflected in foliar analyses. Leaf P, K, Ca, and Mg were significantly raised when added as soil amendments. The results show that first-season nutrient responses to fertilizer additions are sensitive indicators of treatment effects on soil and foliage of sugar maple in the region. Initial growth assessments suggest a 15–22% basal area increment to P and K applications; however, it is not known if these early treatment effects will translate into long-term tree growth and sap yield responses. Key words: Acer saccharum, phosphorous and potassium fertilization, liming, soil tests, foliar analysis, soil acidity
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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 it