Lichens in the inland rainforest: Climate biomonitoring and population structure of Lobaria pulmonaria (L.) Hoffm.
Bibliographic record
Abstract
Rapid climate change is predicted for British Columbia's Inland Temperate Rainforest (ITR). This research proposed that ITR lichens may be sensitive indicatorsof these changes and describes a climate biomonitoring protocol using arboreal lichen communities. Initial findings of 39macrolichen taxa are reported, including a number of rare species, such a Nephroma occultum Wetmore, N. isidiosum (Nyl.) Gyelnik, and Sticta oroborealis Goward & Tonsberg. Previous research suggests that the tripartite cyanolichen Lobaria pulmonaria (L.) Hoffm.is an important indicator species, however, little is known of its population dynamics in the ITR. In a retrospective study using dated branch segments, the size class distribution and reproductive status of L. pulmonariapopulations was measured on subalpine fir (Abies lasiocarpa Nutt.) and mountain alder (Alnus incana ssp. tenuifolia (Nutt.) Breitung)within ITR riparian zones.L. pulmonaria communities on fir and alder differed in many respects, especially in their total biomass, however, the number of thalli did not differ significantly between species along dated branch segments. Branch diameter was a significant predictor for the presence of reproductive thalli on subalpine fir, with branch age being a better predictor on mountain alder. Minimum generation times and maximum growth rates for L. pulmonaria in the ITR may be much faster than previously estimated elsewhere. --Leaf ii.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".