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Record W7133275803

End-of-Century projections of Calanus species biomass in the Gulf of St. Lawrence, southern Newfoundland, Scotian Shelf and northeast Gulf of Maine

2024· other· en· W7133275803 on OpenAlexaboutno aff
Caroline Lehoux, Diane Lavoie, Catherine L. Johnson, Stéphane Plourde

Bibliographic record

VenueFederal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada · 2024
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsCalanusBiomass (ecology)Abundance (ecology)Calanus finmarchicusForcing (mathematics)Relative species abundanceClimate change
DOInot available

Abstract

fetched live from OpenAlex

The goal of this study was to describe the potential trajectory of Calanus species total biomass in response to future environmental conditions in eastern Canadian waters toward to the end of the 21st century. This was accomplished by using an approach combining Species Distribution Models (SDMs) and regional climate ocean simulations based on the Representative Concentration Pathway 8.5 scenario to project interdecadal abundance and individual body weight. We first built SDMs of C. finmarchicus, C. glacialis and C. hyperboreus with data from the Gulf of Maine to the Gulf of St. Lawrence using covariates extracted from three simulations of a regional climate ocean model driven with downscaled forcing from different Earth System Models. These SDMs were then used to perform past and future decadal projections of abundance and their associated uncertainty among the three regional climate ocean simulations. These abundance projections were then combined with those of individual body weight to describe the interdecadal changes in total Calanus biomass. Our SDMs performed similarly well among the three regional climate scenarios. While greater uncertainty was associated with the end of the projection period, total Calanus biomass was predicted to decrease toward the end of the century across Canadian waters. However, marked regional differences were noted in amplitude due to varying interplay between local environmental conditions, Calanus species composition and individual body weight. In the Fundy-northeast Gulf of Maine and western Scotian Shelf regions in the south, a 60% decrease in total Calanus biomass was predicted in 2080-2089 relative to 2000-2009 and was solely driven by a decrease in C. finmarchicus abundance and individual body weight. This sharp decrease thus indicated that environmental conditions in these regions would become unfavorable for this species in the future. In the Gulf of St. Lawrence, a 40% decrease in C. hyperboreus biomass was partly compensated by a small increase in C. finmarchicus biomass, resulting in a 25% decrease in total Calanus biomass over the same period, indicating that environmental conditions in this colder region would gradually become less and more favourable to C. hyperboreus and C. finmarchicus respectively. The decrease in total Calanus biomass in the southern Newfoundland region was similar (25%) to the Gulf of St. Lawrence, whereas the decrease forecasted in eastern Scotian Shelf was intermediate (35%) between the southern and northern regions. Assuming that no drastic changes in the ocean circulation occur during the 21st century, our long-term projections suggested that North Atlantic Right Whales (NARW) foraging conditions in the Fundy - northeast Gulf of Maine and western Scotian Shelf will continue to deteriorate at a rate greater than in more northern regions. These predicted patterns of change in future foraging conditions could therefore reinforce the pattern in NARW habitat use and distribution observed since 2010.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.239
Threshold uncertainty score0.480

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
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 head0.011
GPT teacher head0.233
Teacher spread0.222 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations0
Published2024
Admission routes1
Has abstractyes

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Same venueFederal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du CanadaFrench-language works237,207