Changes in the structure and heterogeneity of vegetation and microsite environments with the chronosequence of primary succession on a glacier foreland in Ellesmere Island, high arctic Canada
Bibliographic record
Abstract
Abstract Primary plant succession was investigated on a well‐vegetated glacier foreland on Ellesmere Island in high arctic Canada. A field survey was carried out on four glacier moraines differing in time after deglaciation to assess vegetation development and microsite modification in the chronosequence of succession. The results showed evidence of directional succession without species replacement, which is atypical in the high arctic, reflecting the exceptionally long time vegetation development. During this successional process, Salix arctica dominated throughout all moraines. The population structures of S. arctica on these moraines implied the population growth of this species with progressing succession. The population density of S. arctica reflected the abundance of vascular plants, suggesting that development of the plant community might be related to structural changes and the growth of constituting populations. Through such growths of the population and the whole community with progressing succession, the spatial heterogeneity of vegetation gradually declines. Moreover, this vegetation homogenization is accompanied by changes in the spatial heterogeneity of microsite environments, suggesting significant plant effects on the modification of microsite environments. Accordingly, it was concluded that the directional primary succession observed on this glacier foreland is characterized by the initial sporadic colonization of plants, subsequent population growths, and the community assembly of vascular plants, accompanied by microsite modification.
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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 | 0.001 |
| 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".