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Record W2309880382 · doi:10.1093/plankt/fbw020

Habitat modelling of key copepod species in the Northwest Atlantic Ocean based on the Atlantic Zone Monitoring Program

2016· article· en· W2309880382 on OpenAlexaff
Séverine Albouy‐Boyer, Stéphane Plourde, Pierre Pepin, Catherine L. Johnson, Caroline Lehoux, Peter S. Galbraith, Dave Hebert, Gordana Lazin, Caroline Lafleur

Bibliographic record

VenueJournal of Plankton Research · 2016
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine Biology and Ecology Research
Canadian institutionsBedford Institute of OceanographyFisheries and Oceans Canada
Fundersnot available
KeywordsCalanus finmarchicusCalanusCopepodEcologyZooplanktonAbundance (ecology)OceanographyHabitatOverwinteringPopulationBiologyProductivityArcticTemperate climateCrustaceanGeology

Abstract

fetched live from OpenAlex

Fourteen years of data collected by the Atlantic Zone Monitoring Program served to model the habitat of four dominant copepod species (<it>Calanus glacialis</it>, <it>Calanus hyperboreus</it>, <it>Calanus finmarchicus</it>, <it>Paracalanus</it> sp.) on the continental shelf and slope waters in the Northwest Atlantic Ocean. Generalized additive mixed models (GAMMs) were applied to abundance and presence–absence data for <it>C. hyperboreus</it>, <it>C. glacialis</it> and <it>Paracalanus</it> sp. and abundance for <it>C. finmarchicus</it>, to describe the optimal environmental productivity envelopes associated with the occurrence and/or the net productivity of these species. The models for <it>Calanus</it> species considered two main phases of their life cycle: (i) an active population growth phase dominated by early stages that occur primarily in surface layers, and (ii) a dormant phase dominated by overwintering stages generally found in deeper layers. GAMMs identified a marked contrast in environmental envelopes occupied by arctic and temperate species. Our analyses underline the importance of using data representative of all the copepodid developmental stages and occupied habitats in order to accurately model the distribution of <it>Calanus</it> species. The value of our models as tools to understand past events in the Northwest Atlantic or to predict future distributions of the species is also discussed.

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)0.007
metaresearch head score (Gemma)0.001
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 score0.007
Threshold uncertainty score0.562

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
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 integrity0.0000.001
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 head0.108
GPT teacher head0.313
Teacher spread0.205 · 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

Citations22
Published2016
Admission routes1
Has abstractyes

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