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Record W4391141784 · doi:10.3354/meps14529

Parasites of small pelagics reflect their role in marine ecosystems

2024· article· en· W4391141784 on OpenAlexaff
KC Jacobson, DJ Marcogliese, K. MacKenzie

Bibliographic record

VenueMarine Ecology Progress Series · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicParasite Biology and Host Interactions
Canadian institutionsEnvironment and Climate Change CanadaFisheries and Oceans Canada
Fundersnot available
KeywordsMarine ecosystemEcosystemBusinessEcologyFisheryBiologyEnvironmental science

Abstract

fetched live from OpenAlex

Small pelagics occupy an intermediate trophic level in marine ecosystems, serving as prey for a variety of predators and thus playing a very important role in these ecosystems. This review collates information gleaned from parasitological studies of small pelagics (fish, squid and euphausiids) and describes the valuable biological information they can provide. We describe why parasitology studies are important and how they have contributed to our understanding of the role of small pelagics in marine ecosystems. Pertinent general patterns in marine parasite ecology relevant to trophic interactions in small pelagics, including variations in parasite faunas with features such as host size, depth distribution and feeding behaviour are synthesized. With their relatively long life spans relative to stomach contents and stable isotopes, trophically transmitted parasites can provide a unique dietary history for the host. Therefore, we summarize the trophically transmitted parasites found most frequently in small pelagics and assess the potential of different parasite taxa as indicators of host diet. The use of multiple techniques, including stomach contents and stable isotopes, along with parasites, are evaluated to better reveal fish diets. Parasites provide complementary, and additional, information compared to other techniques. Furthermore, we discuss how the presence of certain parasites in small pelagics can be used to infer their main predators and emphasize the neglected but important role of parasites in elucidating a host’s role in marine food webs. Lastly, we identify important gaps in our knowledge of the parasites of small pelagics and what can be done to fill these gaps.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
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 head0.012
GPT teacher head0.289
Teacher spread0.278 · 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

Citations6
Published2024
Admission routes1
Has abstractyes

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