Tidal dynamics, topographic orientation, and temperature-mediated mass mortalities on rocky shores
Bibliographic record
Abstract
Temperature is among the main structuring agents on rocky intertidal shores. Although infrequent mortality events associated with high temperatures have been observed in several intertidal taxa, careful documentation of these events is rare, and small-scale variability in mortality patterns remains poorly understood. In Bodega Bay, California, USA, 2 mortality events occurred on exposed rocky shores during the spring of 2004 when low tides occurred around mid-day. Limpets Lottia scabra were killed during unseasonably warm weather in mid-March. In late April, recordhigh temperatures resulted in widespread mortality of the mussel Mytilus californianus. Levels of mortality for both species were closely associated with small-scale variability in temperature, which in turn was closely associated with substratum orientation. Invertebrates occupying surfaces facing the sun when stress was most intense were much more likely to die than those living on surfaces angled 45away. Because the within-day timing of thermal stress varied seasonally, the highest mortalities were recorded on southwest-facing surfaces on the March afternoon low tide and on southeast-facing surfaces on the April morning low tide. Limpets and mussels showed little mortality during the events that were harmful to the other taxon, suggesting that these different taxa respond to different aspects of their thermal environment. If climate change results in more frequent and more severe episodes of thermal stress, future ecological change may also be heavily dependent on tidal dynamics and small-scale variation in substrate orientation.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".