Latitude-related variation in understory vegetation of boreal \n Populus tremuloides \n stands in Alberta, Canada
Bibliographic record
Abstract
Relevé data (n = 216) from two-pairs of study areas located in the boreal forest of central and northern Alberta (Canada), with their centroids separated by 3.7° of latitude, were analyzed to determine if latitude-related species richness, composition, and abundance differences occurred in the understories of \n Populus tremuloides \n forest stands. No difference in study area species richness ( \n P \n = 0.248) occurred, which included 78 to 105 species (average 94). North compared to south areas had reduced relevé, forb, and graminoid richness; greater dominance concentration; and less total, vascular understory, herb, forb, and graminoid canopy cover ( \n P \n <0.001). Nine herbs ( \n Calamagrostis canadensis, Cornus canadensis, Eurybia conspicua, Fragaria virginiana, Galium boreale, Lathyrus ochroleucus, Mertensia paniculata, Pedicularis labradorica \n , and \n Symphyotrichum ciliolatum \n ) and two shrubs ( \n Lonicera involucrata \n and \n Vaccinium caespitosum \n ) decreased in abundance (total ∼25% cover) from the south to north areas ( \n P \n <0.001), and were associated ecologically with more open-growing forests and nontreed sites. Latitudinal differences were interpreted to be a response to cooler and slightly drier climatic conditions, and to reduced PAR availability caused by lower angles of solar incidence and the resulting more intensive shading by trees in northern areas. These factors in combination were estimated to reduce PAR to understory plants by at least 20%. Eight vegetation-types were recognized; each mostly limited to one study area. However, a \n P. tremuloides/Rosa \n type occurred in both south and north areas. The northern variant contained less \n Rosa acicularis \n (21%) and more (∼6%) \n Leymus innovatus, Linnaea borealis \n , and \n Cornus canadensis \n cover than southern stands.
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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) | 0.001 | 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".