Dark and Light Lichen Coloration and Basalt Weathering in a Cold Environment: Preliminary Results from Northern Canada
Bibliographic record
Abstract
Lichens are known to influence the weathering of rocks in natural or architectural settings. However, the specific influence of various lichen species on rock weathering remains to be understood especially in cold environments. The objective of this study is to understand the influence of various lichen species on the formation of secondary minerals in basalt. For 132 days, we recorded the temperatures every minute at the basalt/lichen interface of a light-colored lichen, Lecanora polytropa (Hoffm.) Rabenh., and a dark-colored species, Rhizocarpon geminatum Korb. to understand how lichen species influence thermal energy transfer. We also used scanning electron microscopy and Xray diffraction to determine the elemental and mineral composition of the products of basalt alterations. Our results show that during hot days (Regime 1), the rock/R. geminatum (dark-colored) interface has cooler temperatures than rock/L. polytropa (light-colored) interface as a result of the “necessity” to convect heat to the much cooler air in the environment. We believe that higher hyphal development in rock/L. polytropa interface results in a higher production of organic acids that lowers the activation energies of minerals present in basaltic rock, thus producing a higher rate of basalt weathering when compared to rock/R. geminatum interface. Our data also show the likely formation of whewellite (CaC2 O4 · H2 O) especially under L. polytropa. We believe that in our study, the dominant influence lichens have on basalt breakdown is due to biochemical processes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".