Advancing Understanding Of Invasion Ecology With Pines
Bibliographic record
Abstract
Pine species have been introduced around the world for timber, soil stabilization and wind breaks. Selection for highly productive species and provenances has led to productive forestry but also to species that can readily spread and become invasive in otherwise productive pasture land, or biodiverse native grass- or shrub-land. Our research uses Pinus contorta as a model species to investigate mechanisms that underpin invasion ecology. Our international network of field sites enables us to compare native (USA and Canada), introduced and invaded ranges (New Zealand, Chile and Argentina). In order to disentangle the relative effects of genetics, abiotic nutrients and microbial community on seedling growth we performed an experiment that combined sterilization treatments, provenances and measurements of soil nutrients and fungal communities of soil and roots while keeping environmental conditions stable in a growth chamber u2018home-versus-awayu2019 design. Our research allows us to compare multiple hypotheses at once, advancing understanding of invasion ecology.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.036 | 0.015 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.003 | 0.020 |
| Open science | 0.012 | 0.012 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.003 |
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; both teacher heads agree on what is shown here.
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".