Dataset of Seedlings response to simulated browsing and water stress: insights for assisted migration plantations
Bibliographic record
Abstract
Data collected during a greenhouse experiment simulating large mammal winter browsing and water stress on five species of North American seedlings. Data include the monitoring of soil water content during the experiment (SoilWaterContent.txt), mortality of the seedlings (Mortality.txt) and values of growth, biomass and chemical compounds for each seedling included in the experiment (ExpResults.txt). Details on the experimental methods are available in Turgeon et al (in prep.) and the metadata is available below.Metadata common to all filesSpecies: Seedling species; CHR = Quercus rubra; THO = Thuja occidentalis; PIB = Pinus strobus; CET = Prunus serotina; ERS = Acer saccharum.Analogue: Seedling climate analogue (see Turgeon et al.), either 2018 (analogue to current climate at plantation site), 2050 (analogue to climate predicted for 2050 at plantation site), 2080 (analogue to climate predicted for 2080 at plantation site).ID: sequential number identifying seedlings from same species-analogue combination.Metadata SoilWaterContent.txtdate: Date of collection of the soil sample (Format: YYYY-MM-DD)soilwater: soil water content (%), evaluated using the wet and dry mass of the sample ((wet mass – dry mass)/wet mass x 100).Metadata Mortality.txtThis file only list seedlings that died either before the onset of the water stress treatment or during the water stress treatment.browsing: browsing treatment, either browsed (‘Brout’) or unbrowsed (‘NoBrout’).waterstress: water stress treatment level, either no-stress (watering at 80% of pot capacity, 1L; ‘NoStress’), moderate stress (50% of pot capacity, 0.5 L; ‘stress1’) or high stress (25% of pot capacity, 0.3 L; ‘stress2’. Seedlings that died before the onset of the treatment are identified by ‘before’.bloc: experimental block in which is located the seedling. NA values are for seedlings that died before the onset of the treatmentMetadata ExpResults.txtbrowsing: browsing treatment, either browsed (‘Brout’) or unbrowsed (‘NoBrout’).waterstress: water stress treatment level, either no-stress (watering at 80% of pot capacity, 1L; ‘NoStress’), moderate stress (50% of pot capacity, 0.5 L; ‘stress1’) or high stress (25% of pot capacity, 0.3 L; ‘stress2’.hauteurini: seedling height before the experimental treatments.hauteur: seedling height at the end of the experiment.diam: diameter at the base at the beginning of the experiment.ram: number of shoots >5 cm (evaluated according to Potvin 1995) at the end of the experiment.maerien: aboveground mass (g) of seedlings at the end of the experiment.mracine: belowground mass (g) of seedlings at the end of the experiment.mtot: total mass (g) of seedlings at the end of the experimentratio: aboveground mass/belowground massmret: nitrogen: nitrogen content of foliage (broadleaf species) or shoots (wood + needles, coniferous species); g/kg.phen: total phenolic content of foliage (broadleaf species) or shoots (wood + needles, coniferous species); mg/g.flav: flavonoid content of foliage (broadleaf species) or shoots (wood + needles, coniferous species); mg/g.ReferencePotvin, F. 1995. L'inventaire du brout : revue des méthodes et description de deux techniques. 70p. Ministère de l'Environnement et de la Faune, Québec, Qc
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.008 |
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".