Bryophyte communities in Quercus garryana ecosystems on South East Vancouver Island: Preliminary mesohabitat assessment
Bibliographic record
Abstract
Quercus garryana ecosystems are threatened Mediterranean-like sites that occur in a limited range on the west coast of North America. This ecosystem has higher plant diversity and rarity than any other in British Columbia with less than 10% remaining as relicts due to habitat loss, fragmentation, and degradation. The bryophyte component remains understudied, and identification of habitat associated communities could provide a more accurate picture of ecosystem health at remaining sites. We used floristic habitat sampling and multivariate analyses to determine bryophyte diversity and community composition among three prominent mesohabitats (meadows, outcrops, Quercus garryana epiphytes) in five intact sites. We found that total species richness was highest in meadows (67), high in outcrops (63), and lowest on Quercus garryana (40) and included 11 provincially rare species. Alpha diversity and mean transformed abundance classes were significantly lower in the Quercus garryana mesohabitat versus meadows and outcrops. Multi-response permutation procedure indicated the Quercus garryana epiphytic community as statistically unique, whereas there was no significant difference between meadow and outcrop mesohabitat communities. Several species were identified as indicators for each mesohabitat type. Observations were compiled with micrographic images as a special project using the citizen science application iNaturalist. This study of Quercus garryana ecosystems from southeastern Vancouver Island, B.C., provides a preliminary mesohabitat assessment for bryophytes in this rare and threatened heterogeneous ecosystem. These baseline results can help identify priority sites for restoration based on habitats associated with bryophyte species diversity.
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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 | 0.001 |
| 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".