Low temperature exposure determines performance and thermal microhabitat use in an intertidal gastropod (Littorina scutulata) during the winter
Bibliographic record
Abstract
Small-scale spatial variation in temperature is an important attribute of many habitats, as spatial thermal refugia may allow organisms to avoid some negative consequences of thermal extremes. Although the ecological importance of thermal refugia in intertidal habitats is well-known in summer, the relative availability, effectiveness, and ecological relevance of thermally benign microhabitats in the winter is poorly understood. Here, we explored small-scale thermal variability on a temperate rocky coastline during winter, and the relevance of these thermal patterns to Littorina scutulata , a common intertidal gastropod. Sheltered microhabitats, including crevices, undersides of boulders, and areas beneath algal canopy, were all warmer than surrounding exposed areas during winter low tides. L. scutulata was able to recover relatively quickly from exposure to low temperatures down to -3°C, but performance costs began to accrue at lower temperatures. However, the presence of a refuge habitat buffered the negative effects of cold temperatures, and sheltered L. scutulata regained mobility more quickly than conspecifics on exposed surfaces. Further experiments demonstrated that L. scutulata were more frequently found in thermal refugia when previously exposed to low temperatures, but not when exposed to milder temperatures. Our results suggest that realistic low temperatures can impose important costs on intertidal species such as L. scutulata , but the availability of thermal refugia coupled with behavioural adaptations can allow species to reduce many such costs. Just as in summer, thermal refugia in winter may be important for the distribution and abundance of intertidal species and the diversity and function of coastal ecosystems.
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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".