Spatial patterns in zooplankton communities and stable isotope ratios (δ13C and δ15N) in relation to oceanographic conditions in the sub-Arctic Pacific and western Arctic regions during the summer of 2008
Bibliographic record
Abstract
We define the biogeographic status quo of zooplankton communities sampled during the summer of 2008 in the sub-Arctic Pacific and western Arctic regions and examine spatial patterns of stable isotopes in the context of regional oceanography. Eight zooplankton assemblages were identified and corresponded to these regions: Gulf of Alaska, Bering Sea Slope, St-Lawrence Island, Western Bering Strait, Eastern Bering Strait, Barrow Canyon, Beaufort Gyre and Beaufort Shelf. Neocalanus spp., Eucalanus bungii and Metridia pacifica were abundant in the warmer and saltier waters of the Gulf of Alaska and on the Bering Sea Slope, whereas Calanus hyperboreus, Calanus glacialis and Metridia longa were abundant in the cold and fresher Arctic waters on the Beaufort Shelf and in the Beaufort Gyre. Salinity, nitrate and temperature, all of which were strongly correlated with latitude, and water column depth were the main factors influencing variation of zooplankton composition and spatial distribution. The δ15N values were less enriched in the Gulf of Alaska and on the Bering Sea Slope and more enriched in the eastern portion of Bering Strait and in Barrow Canyon. The δ13C values of zooplankton were more depleted in the Gulf of Alaska and in the Beaufort Sea regions and were more enriched in Western Bering Strait. The level of carnivory in the zooplankton community appeared highest in the Beaufort Gyre decreasing on the Beaufort Shelf and lowest in Western Bering Strait and in the Gulf of Alaska. Our results highlight the existence of large intra- and inter-specific differences in zooplankton isotopic signatures in relation to community composition and environmental conditions.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.000 | 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".