Species Structure, Diversity, and Tree Regeneration on Stumps in Second-Growth Temperate Rainforests of British Columbia, Canada
Bibliographic record
Abstract
Abstract Background: The significance of stumps and other coarse woody debris (CWD) in maintaining biodiversity has been widely recognized. However, there is a paucity of research on the role of stumps in tree regeneration. We studied vascular plant structure, diversity, and tree regeneration on stumps in temperate rainforests across three sites in British Columbia, Canada (Malcom Knapp Research Forest, MKRF; Pacific Spirit Regional Park, PSRP; and Stanley Park, SP).Results: 1) There were 19 vascular plant species found on stumps, including eight tree species, 2) Overall seedling abundance was higher on stumps than the nearby ground, 3) The number of established plants showed a positive linear (MKRF, SP) or Gaussian (PSRP) relationship with stump basal diameter, 4) Vegetation abundance varied with site (MKRF > SP > PSRP), 5) The overall species established on stumps were positively associated in MKRF (Variance ratio = 2.74) and SP (Variance ratio = 1.37), but negatively associated in PSRP (Variance ratio = 0.57), and 6) Tree species appeared to compete with each other on stumps and were likely to co-occur with understorey species.Conclusion: Our results highlight community and species associations on stumps. We found that stump diameter is a major factor affecting tree regeneration in these second-growth temperate rainforests. To aid future research on stump-vegetation relationships, we synthesize our results in a schematic of vascular plant biodiversity and tree regeneration on stumps. Our work and this schematic can be used to stimulate ideas for new hypothesis generation and for studies relevant for conservation, management and basic science research.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".