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Record W3005379809 · doi:10.1029/2019ef001394

They Came From the Pacific: How Changing Arctic Currents Could Contribute to an Ecological Regime Shift in the Atlantic Ocean

2020· article· en· W3005379809 on OpenAlexaboutno aff
Stephen Kelly, Ekaterina Popova, Yevgeny Aksenov, Robert Marsh, Andrew Yool

Bibliographic record

VenueEarth s Future · 2020
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine and coastal ecosystems
Canadian institutionsnot available
FundersNatural Environment Research CouncilSight Research UKARISE-The Scoliosis Research Trust
KeywordsOceanographyArcticRegime shiftOcean currentArctic ecologyClimate changeAdvectionArchipelagoEnvironmental scienceClimatologyThe arcticSea iceGeologyEcologyEcosystemBiology

Abstract

fetched live from OpenAlex

Abstract The Arctic Ocean is rapidly changing. With warming waters, receding sea ice, and changing circulation patterns, it has been hypothesized that previously closed ecological pathways between the Pacific and Atlantic Oceans will be opened as we move toward a seasonally ice‐free Arctic. The discovery of the Pacific diatom Neodenticula seminae in the Atlantic suggests that a tipping point may have already been reached and this “opening up” of the Arctic could already be underway. Here, we investigate how circulation connectivity between the Pacific and Atlantic Oceans has changed in recent decades, using a state‐of‐the‐art high‐resolution ocean model and a Lagrangian particle‐tracking method. We identify four main trans‐Arctic pathways and a fifth route that is sporadically available with a shorter connectivity timescale. We discuss potential explanations for the existence of this “shortcut” advective pathway, linking it to a shift in atmospheric and oceanic circulation regimes. Advective timescales associated with each route are quantified, and seasonal and interannual trends in the main four pathways are discussed, including an increase in Fram Strait outflow relative to the Canadian Archipelago. In conclusion, we note that while tipping points for ecological connectivity are species dependent, even the most direct routes require multiannual connectivity timescales.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.156
Threshold uncertainty score0.972

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.016
GPT teacher head0.203
Teacher spread0.187 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations25
Published2020
Admission routes1
Has abstractyes

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