Characterisation of the <i>Pinus banksiana</i> root system on analogues of a cover with capillary barrier effects
Bibliographic record
Abstract
To control acid mine drainage, a cover with capillary barrier effects (CCBE) can be constructed over mine wastes. This cover relies on a fine-grained material (moisture retaining layer; MRL) that maintains a high degree of saturation (≥85%). However, the roots of deep-rooted plants on CCBE can penetrate the MRL and extract water, thus impacting the performance of the cover. Furthermore, as cover systems are expected to perform for hundreds of years, CCBE design must anticipate long-term ecosystem changes that will influence cover performance. However, data representative of the rooting of future ecosystems at reclaimed sites can be difficult to acquire by conventional methods. Using natural analogues of cover systems can help to obtain this information. In this paper, the root systems of nine Pinus banksiana (61 to 89 years old) were studied in sand over silt layers (used as CCBE analogues) in the boreal zone of Quebec, Canada. The maximum rooting depth (MRD), coarse root colonisation intensity along the soil profile, and root length densities (RLDs) were characterised in both material layers. The MRD ranged from 25 cm to 160 cm (depending on the distance of the trenches from the trees), with some roots able to penetrate 120 cm into the MRL. However, root colonisation of the MRL was mostly concentrated in the surface sand layer, with rooting occurrences and densities > 90% in the top 50 cm of sand. These data are critical to optimise the thickness of the coarse layer to protect the MRL from root intrusion and to predict the long-term performance of CCBEs.Abbreviations CCBE: cover with capillary barrier effects; CS: cover system; MRD, maximum rooting depth; MRL, moisture retaining layer; NA, natural analogue; Pb, Pinus banksiana; PL, protection layer; RS, root system.Core ideas A NA of a CCBE was used to provide rooting data representative of future mature ecosystems; Useful data were obtained to adjust the thickness of the PL over the MRL at the design stage; Data were obtained for modelling the long-term CCBE performance, including the effect of deep-rooted plants.
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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".