Utilizing pioneer species as a hydrological nurse crop to lower water table for reforestation of poorly drained boreal sites
Bibliographic record
Abstract
On cold and wet sites in the boreal forest, high water table and anaerobic soil conditions limit the establishment of planted white spruce.In a controlled-environment experiment we determined physiological and morphological responses of a grass Calamagrostis canadensis and two shrubs Salix planifolia and Alnus crispa to water table and soil temperature and evaluated their capacity to lower the water table on wet sites.All three species tended to grow better at the warmer soil temperatures and imperfectly drained treatments but C. canadensis actually developed the greatest leaf area in the near saturated conditions.Similarly, C. canadensis and A. crispa had greatest transpiration rates in the imperfectly drained and warm soil treatments.In contrast, S. planifolia had the greatest transpiration at 5 °C soils.We suggest that C. canadensis is suitable as a hydrological nurse species on these wet sites, but in light of its competitive nature, the shrubs particularly S. planifolia would be preferable.competition / flooding / regeneration / soil temperature / water-use Résumé -Utilisation d'espèces pionnières susceptibles de jouer un rôle hydrologique en abaissant le niveau du plan d'eau pour faciliter le boisement de stations boréales mal drainées.Dans les stations froides et humides de la forêt boréale, le haut niveau du plan d'eau et les conditions d'anaérobie du sol sont défavorables au reboisement en épicéa blanc.Une expérimentation en milieu contrôlé a permis de déterminer les réponses physiologiques et morphologiques d'une espèce herbacée Calamagrostis canadensis et de deux arbustes, Salix planifolia et Alnus crispa, au niveau du plan d'eau et à la température du sol, et d'évaluer leur capacité à abaisser le niveau du plan d'eau sur stations humides.Les trois espèces tendent à mieux se développer avec les traitements où la température du sol est plus élevée avec drainage médiocre ; mais C. canadensis présente un développement de surface foliaire nettement plus grand dans des conditions de sol proches de la saturation.De même, pour C. canadensis et A. crispa on enregistre les taux de transpiration les plus élevés pour les traitements sol chaud et drainage médiocre.Par contre, S. planifolia manifeste un maximum de transpiration avec une température du sol de 5 °C.Nous suggérons que C. canadensis peut jouer le rôle d'espèce nurse hydrologique sur ces stations humides ; mais compte tenu des problèmes de concurrence, on devrait préférer les arbustes, et en particulier S. planifolia. concurrence / inondation / régénération / température du sol / utilisation de l'eau
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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 | 0.000 | 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) | 0.001 | 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 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".