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Record W4405585813 · doi:10.1016/j.indic.2024.100562

Comparative analysis of mesozooplankton size fraction structure in bivalve aquaculture embayments in Atlantic and Pacific Canadian coastal regions

2024· article· en· W4405585813 on OpenAlexafffundabout
Ruben D. Cordero, Anaïs Lacoursière‐Roussel, Ramón Filgueira, Julie Arseneau, Jeffrey Barrell, Timothy J. Barrett, Christopher W. McKindsey, Daria Gallardi, Olivia Gibb, Terri F. Sutherland, Thomas Guyondet

Bibliographic record

VenueEnvironmental and Sustainability Indicators · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicMarine Bivalve and Aquaculture Studies
Canadian institutionsDalhousie UniversityFisheries and Oceans Canada
FundersFisheries and Oceans CanadaNatural Sciences and Engineering Research Council of CanadaDairy Farmers of Ontario
KeywordsOceanographyFisheryAquacultureGeographyEnvironmental scienceGeologyFish <Actinopterygii>Biology

Abstract

fetched live from OpenAlex

Coastal embayments are dynamic ecosystems facing environmental and anthropogenic pressures, including bivalve aquaculture and climate change. Mesozooplankton, essential for transferring energy from primary producers to higher trophic levels, serve as indicators of habitat changes. Size structure is a critical trait that reflects local community dynamics, trophic interactions, and ecosystem conditions, offering insights into the functioning and resilience of aquatic environments. This study examines the spatio-temporal variation in mesozooplankton size structure across nine bivalve aquaculture embayments in Atlantic and Pacific Canada from 2020 to 2022. Using high-resolution imaging (FlowCam®) to measure individual zooplankton, we assessed the effects of location, tide, sampling day, season, and aquaculture pressure on the size distribution variation among and within bays. Results indicate that bays with similar size distributions tend to have larger mesozooplankton, while those with more variable distributions are dominated by medium-sized individuals. Significant associations between environmental factors and size variation were observed in four of eleven sampling events. Notably, St. Peters Bay, with the highest aquaculture pressure, showed significant variation associated with station location and sampling day. However, the tide effect was significant only in two sampling events. Seasonal analysis revealed that colder months generally exhibited larger median sizes, with some exceptions influenced by local conditions. Despite high levels of aquaculture pressure in some bays, no consistent association between aquaculture pressure and size variation was found, highlighting the influence of local environmental factors. This study underscores the importance of monitoring mesozooplankton size structure as a bioindicator for effective ecosystem management and targeted conservation strategies.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.144
Threshold uncertainty score0.290

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.004
GPT teacher head0.233
Teacher spread0.229 · 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 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 routes3
Has abstractyes

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