Bryophyte response to forest canopy treatments within the riparian zone of high-elevation small streams
Bibliographic record
Abstract
Riparian buffer strips are increasingly used to mitigate disturbance effects on terrestrial biota found adjacent to streams, yet it is unclear how the effects of canopy treatment (clear-cut, buffer, or intact forest) will interact with pre-existing stream–upland gradients. We questioned whether proximity to the stream would influence bryophyte richness and whether the effects of canopy treatment on bryophyte composition and functional group representation would differ along the stream–upland gradient. Bryophyte richness, abundance, and composition were sampled in continuous forest (n = 6), two-sided buffers (buffer width approximately 15 m on both stream sides; n = 10), and clear-cuts (n = 7) in the southern interior of British Columbia. At each site, bryophyte functional group frequency was sampled within 10 × 2 m belt transects located at 1, 5, and 10 m from the stream edge. Both distance from the stream and canopy treatment were strongly associated with bryophyte community variation. The richness of many functional groups was highest immediately adjacent to the stream. The richness and frequency of forest-associated species, as well as the overall extent of the bryophyte mat, had the highest values in continuous forests, intermediate values in buffers, and lowest values in clear-cuts. Although significant differences in bryophyte communities occurred between buffers and clear-cuts at all distances from the stream, differences between buffers and continuous forest were nonsignificant. These results indicate that riparian buffers can play an important role in the mitigation of harvesting effects on the bryologically rich communities along small headwater streams.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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".