Pigment evidence of phytoplankton community shifts driven by rapid changes in the western Arctic Ocean, 2008–2018
Bibliographic record
Abstract
Abstract Rapid warming in the Arctic have influenced the ecological and biogeochemical systems in the Arctic Ocean, particularly the phytoplankton community that plays a fundamental role in food webs and carbon cycle. Our 10‐yr study found an abrupt change in the phytoplankton community in the western Arctic Ocean basin between 2008 and 2018. This shift involved the replacement of nanoplanktonic prymnesiophytes with picoplanktonic prasinophytes. This change was closely associated with a sudden deepening of both the nitracline (from an average depth of 37 ± 15 to 45 ± 8 m) and the chlorophyll maximum layer (from an average depth of 47 ± 16 to 57 ± 10 m) after 2012, driven by thickening of the relatively fresh surface layer ( S < 31) in the western Arctic Ocean basin. The northwestward movement and intensification of the Beaufort Gyre may have exacerbated this surface freshening of the western Arctic Ocean by regulating freshwater redistribution, thereby driving changes in the phytoplankton community.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".