Amelioration of degraded soils under red pine plantations on the Oak Ridges Moraine, Ontario
Bibliographic record
Abstract
Soil degradation and subsequent amelioration were studied on soil chronosequences of old-growth forest, abandoned fields, and young and mature conifer plantations on the Oak Ridges Moraine, an environmentally vulnerable landform near Toronto threatened by encroaching urban development. The chronosequences reflect a history of pre-settlement deforestation, exploitive pioneer agriculture and ensuing land abandonment that led to soil fallowing and/or wind erosion in the 1920s followed by soil stabilization after extensive planting with red pine (Pinus resinosa Ait.). Key pedogenic processes were identified and rates and magnitude of soil recovery were quantified in terms of morphological, physical and chemical characteristics of soil profiles. Soil degradation generally involved reduced fertility with profile simplification (haploidization) on non-eroded fallowed fields, and topsoil loss by wind erosion (deflation) on more exposed eroded fields. After reforestation, soil restoration was characterized by cessation of erosion, accelerated horizon development and differentiation, reduced soil bulk density, and increased fertility and acidification of the soil. Chronofunctions revealed substantial recovery in soil organic C, total N, available P, and exchangeable K, Ca and Mg status within 75 yr of initial reforestation on non-deflated, fallowed sites. In contrast, estimated recovery of these parameters on severely deflated sites was delayed far beyond plantation maturity. Key words: Oak Ridges Moraine, plantation (red pine), ecosystem restoration, deflation, soil degradation
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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".