Evaluation of the Beaufort Sea shelf structure and function in support of the Tarium Niryutait Marine Protected Area
Bibliographic record
Abstract
Arctic ecosystems are at risk to climate impacts, challenging existing conservation measures such as protected areas. This study aims to describe the ecological dynamics of the Canadian Beaufort Sea Shelf (BSS) ecosystem and the Tarium Niryutait Marine Protected Area (TNMPA) under historical changes in sea surface temperature and sea ice extent. Using Ecopath with Ecosim, we compared the status of the BSS between two time periods, 1970–1974 and 2008–2012, and against four ecosystem models (Eastern Chukchi Sea, Barents Sea, Eastern Bering Sea, Gulf of Alaska) to inform the relative long-term health and status of Arctic marine ecosystems. We find that relative to the comparable ecosystems, the BSS had a greater proportion of biomass from pelagic primary and secondary producers, and limited production from higher trophic levels. Estimates of trophic structure indices for the BSS indicate temporal ecosystem stability, and no loss in diversity. While beluga whales are a focus of the TNMPA management plan, they are not considered a key component of the modeled food web. Rather, Arctic and polar cods (main beluga prey group), arthropods, large copepods, micro-zooplankton, and herring and smelt, were identified as keystone species and warrant attention as proxies for both beluga whales and ecosystem health.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 teacher head, 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".