MétaCan
Menu
Back to cohort
Record W4413449454 · doi:10.1016/j.pocean.2025.103559

Functional characteristics of zooplankton bioregions along the cross-shelf gradient

2025· article· en· W4413449454 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueProgress In Oceanography · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine and environmental studies
Canadian institutionsUniversity of VictoriaFisheries and Oceans CanadaUniversité LavalUniversity of British Columbia
FundersCanadian Space AgencyNatural Sciences and Engineering Research Council of CanadaMarine Environmental Observation Prediction and Response Network
KeywordsOceanographyZooplanktonBiological oceanographyEnvironmental scienceGeographyFisheryClimatologyGeologyBiology

Abstract

fetched live from OpenAlex

• 10 functional groups were identified based on mesozooplankton traits. • Functional group contributions to the community traits varied between bioregions. • Bioregions differed in community weighted mean traits and functional diversity. • Assemblages with similar functional characteristics were found across bioregions. • Functional diversity and ecosystem functions showed weak and nonlinear relationships. The use of trait-based approaches complements taxonomic community analysis by linking species distributions with organismal traits. For marine zooplankton, traits are used to identify functional similarities between species and to quantify the roles of zooplankton in the food web and biogeochemical cycles. Efforts in understanding the functional biogeography of zooplankton have generally focused on copepods and the latitudinal gradient, while investigations on the wider zooplankton community and the cross-shelf gradient are limited. The objective of this study was to test whether taxonomically distinct zooplankton communities along the cross-shelf gradient are functionally distinct based on multiple functional characteristics. Two decades of zooplankton monitoring data from the Northeast subarctic Pacific Ocean were synthesized with a zooplankton trait database that provides a more extensive set of traits compared to previous functional biogeography studies. The 163 species of crustacean and soft-bodied zooplankton were first categorized into ten functional groups. The Offshore, Deep Shelf, Nearshore, and Deep Fjord bioregions were found to significantly differ in the relative composition of functional groups, community total trait values, community weighted means of traits, and functional diversity metrics. This study additionally explored assemblages with similar functional characteristics that are found in multiple bioregions and described the regional differences in the relationship between functional diversity and ecosystem functioning for zooplankton. The functional characterization of the bioregions provides a foundation for explaining how oceanographic drivers influence the functional characteristics of zooplankton communities and for improving predictions on how environmental changes would influence the distribution of traits and community-level functioning.

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.

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 score0.031
Threshold uncertainty score0.283

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 studies0.0000.001
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 head0.226
Teacher spread0.213 · 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