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Record W4405623433 · doi:10.1139/as-2024-0039

Spatial and temporal impacts of climate change to the Tarium Niryutait Marine Protected Area, Beaufort Sea, Canada

2024· article· en· W4405623433 on OpenAlexafffundvenueabout
Dustin Whalen, Kevin Scharffenberg, Shannon A. MacPhee, Lisa L. Loseto

Bibliographic record

VenueArctic Science · 2024
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsUniversity of ManitobaFisheries and Oceans CanadaGeological Survey of CanadaNatural Resources Canada
FundersCrown-Indigenous Relations and Northern Affairs CanadaFisheries Joint Management Committee
KeywordsClimate changeBeaufort seaEnvironmental scienceArcticOceanographyPhysical geographySea iceMarine protected areaGeographyStormBeluga WhalePopulationCoastal erosionEstuaryHabitatGeologyEcology

Abstract

fetched live from OpenAlex

The Tarium Niryutait Marine Protected Area (TN MPA), composed of three distinct parcels (Niaqunnaq, Okeevik, and Kittigaryuit), was established in the Western Canadian Arctic to protect the Eastern Beaufort Sea beluga ( Delphinapterus leucas) population and their critical habitat in the Mackenzie Estuary. In this study, we compare the past and current state of environmental parameters—wave regimes, water conditions, storminess, erosion, and landfast ice break-up in the TN MPA. We found significant differences in the characteristics of these environmental parameters between each of the three MPA parcels, which may be impacted differently by climate change. The break-up of landfast ice is occurring earlier in all three parcels of the TN MPA, with the greatest rate of change at Kittigaryuit. Rates of coastal erosion are increasing at Kittigaryuit, while slightly decreasing at Okeevik. We did not identify any significant changes in storm characteristics over the study period. Our results suggest that ecological monitoring should occur within each parcel of the TN MPA to ensure a comprehensive understanding of the area overall. A better understanding of spatial and temporal differences of these environmental parameters will help to inform local users and resource managers to more effectively monitor and manage the MPA.

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)0.001
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 score0.069
Threshold uncertainty score0.413

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.012
GPT teacher head0.209
Teacher spread0.198 · 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

Citations1
Published2024
Admission routes4
Has abstractyes

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