Trade-off between growth ability and stress tolerance in <i>Leymus mollis</i> (Poaceae) along a subarctic coastal dune sequence in northern Quebec
Bibliographic record
Abstract
Several environmental factors vary with distance from the shoreline on coastal dunes. For instance, salinity, salt spray, and sand movement decrease but nutrient and water availability increase from the foredune to the stabilized dunes. Plants colonizing the upper beach and the foredune are thus exposed to more severe abiotic stresses than those on the stabilized dunes. Although community composition changes progressively from the upper beach to the stabilized dunes, some species persist through the sequence. For example, on the coastal dunes of subarctic Quebec, Leymus mollis (Trin.) Hara (Poaceae), a perennial grass that colonizes the upper beach and the foredune, persists onto older stabilized dunes. Under controlled conditions, the response of L. mollis ramets from different habitats along the dune sequence to various saline conditions was examined. It was expected that ramets from the upper beach and the foredune, where substrate salinity is typically higher, salt spray more important, and saltwater intrusion more frequent, to better support salinity stress. Ramets from the upper beach and the foredune had a higher relative growth rate (RGR) but were, in fact, less tolerant to salt stress than those from the stabilized dune. Because sand accumulation is higher on the upper beach and the foredune, a higher RGR may be favored there to the detriment of a higher sensitivity to salt stress. The salt tolerance of stabilized dune ramets may be the expression of a more generalized stress-tolerance strategy as suggested by low RGR and high leaf nutrient concentration.Key words: embryo dune, foredune, leaf turnover, relative growth rate (RGR), salt stress, stabilized dune, tolerance, trade-off.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".