Silicate dynamics in common hardwoods of southern Quebec with a focus on its role on Al and Mn toxicity
Bibliographic record
Abstract
In acidic soils, aluminum (Al) and manganese (Mn) availability can be high and have a negative effect on plant growth and nutrition. Silicon (Si) has been studied for its ability to alleviate Al and Mn toxicity in agricultural crops. Despite its importance, only a few studies have examined Si uptake and interactions in trees. In this study, I first investigated Si, Al, Mn and Calcium (Ca) accumulation in leaves of sugar maple and American beech over a five-month period. Si uptake was found to be continuous for both species before reaching a plateau (Si concentration > 1%) at the end of the growing season. Si uptake is likely associated with the sum of evapotranspiration in sugar maple and American beech (r = 0.991 for A. beech and 0.998 for sugar maple). Both species can therefore be considered passive accumulators of Si. In the second part of the study, sugar and silver maple were grown with different concentrations of Al and Mn in hydroponic systems with and without Si. Most of the effects observed were restricted to the root system. The negative Al effect was less pronounced for root dry weight and length of silver maple with the addition of Si with a concentration of AlCl3 between 100-2,000 uM and Na2SiO3 of 2,000 uM. As for sugar maple, root dry weight increased with the addition of Si suggesting that Al toxicity was not achieved for sugar maple and that it is better adapted to high Al availability than silver maple. Finally, I investigated the capacity of different species to accumulate Si and assessed the species interaction on Si uptake in a young plantation on the Macdonald Campus. Leaves of 16 tree species were analyzed for their Si content. On average, leaf Si concentration was almost six times higher in hardwoods (6.01±0.34 mg g-1) than in conifers (0.98±0.36 mg g-1), and sugar maple had the highest leaf Si concentration amongst maples (9.86 mg g-1). When grown in mixed plantations, sugar maple had a higher leaf Si concentration than in the monoculture, the likely result of reduced Si uptake by the companion species that are Si excluders (Si < 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".