Long-term trends and regional variability in extreme temperature and salinity conditions experienced by coastal marine organisms on Vancouver Island, Canada
Bibliographic record
Abstract
Studies of ocean temperature and salinity typically focus on global or large-scale trends that may not accurately reflect the conditions experienced locally by marine organisms. When assessing impacts of climate change, it is important to document local conditions, and also to focus on the most physiologically stressful time of year. Our goals were therefore to (1) characterize long-term trends in sea surface temperature (SST) and salinity (SSS) experienced by coastal marine organisms during the most stressful time of year around Vancouver Island; and (2) document variation between east and west coasts of Vancouver Island in terms of SST, SSS, and daytime rock surface temperatures in the intertidal zone. Over an 82-yr period, from 1935 to 2016, summertime SST on both coasts increased by 0.67–0.78 °C (i.e., 0.82–0.97 °C per century). Trends in salinity differed between coasts: east coast salinity increased by 3.9 while west coast salinity decreased by 0.64. Although long-term SST trends are the same on both coasts, during the most stressful time of year, east coast waters are on average 4.3 °C warmer and salinity is 7.8 lower than on the west coast. Rock temperature in the mid and upper intertidal zone during daytime low tides is 3.9–4.2 °C warmer on the east coast. Populations of marine organisms inhabiting the coasts of Vancouver Island have therefore been experiencing long-term changes in abiotic stress, as well as persistent spatial variation in climate-related conditions during the most stressful months of the year.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".