Bibliographic record
Abstract
Warming of the earth’s surface from the atmospheric greenhouse effect is altering climate processes and patterns worldwide. In the Pacific Northwest region of the U.S. and Canada, climate change is expected to result in rising sea level, stronger winter storms, warmer and wetter conditions in winter and spring, and increased water column stratification and acidification. Pacific Northwest seagrasses inhabit the intertidal and subtidal zones of energetic open shorelines and protected coastal embayments and provide valuable ecosystem services. Here we: 1) describe expected changes in the Pacific Northwest of six climate related components– temperature, storminess, precipitation and runoff, sea level rise, coastal upwelling, and ocean acidification, 2) evaluate the potential impacts of these changes on seagrasses on the outer coast and in the Salish Sea, 3) identify critical issues and data gaps, and 4) explore implications for seagrass research, restoration, resilience, and adaptation in the Pacific Northwest. A synthesis of first-order impacts suggests that there may be more negative than positive impacts of Pacific Northwest climate change on seagrasses; however, some processes will likely have disproportionate effects. For example, seagrasses such as Zostera marina benefit several-fold from increasing seawater CO2 concentrations. Indirect effects, such as algal blooms, trophic interactions, disease, and human activities could also affect seagrass resilience and adaptation in a changing climate.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".