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Record W4416572751 · doi:10.1093/conphys/coaf068

Barn swallows and purple martins convert precursors to long-chain polyunsaturated fatty acids: implications for conservation of riparian- vs inland-nesting habitats

2025· article· en· W4416572751 on OpenAlexaff
Corrine S. V. Génier, Matthias Pilecky, Martin J. Kainz, Christopher G. Guglielmo, Keith A. Hobson

Bibliographic record

VenueConservation Physiology · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicIsotope Analysis in Ecology
Canadian institutionsEnvironment and Climate Change CanadaWestern University
Fundersnot available
KeywordsInsectivorePolyunsaturated fatty acidHabitatBarnGuildPredation

Abstract

fetched live from OpenAlex

Abstract For aerial insectivorous birds, whose populations have declined significantly in North America, long-chain polyunsaturated fatty acids (LC-PUFA) that are more abundant in aquatic-emergent insects than terrestrial insects, are important for the development, somatic growth, and health of young birds. Some bird species, however, can convert shorter chain PUFA that occur abundantly in terrestrial insects into LC-PUFA. Our study aimed to evaluate the ability of two aerial insectivore species to synthesize their own LC-PUFA. We hypothesized that terrestrially associated aerial insectivores rely on higher fatty acid conversion rates compared to those associated with wetlands and riparian habitats. We fed wild barn swallow (Hirundo rustica) and purple martin (Progne subis) nestlings 13C-labelled essential omega-3 (α-linolenic acid; ALA) or omega-6 (linoleic acid; LA) fatty acids to trace internal fatty acid conversion from these dietary precursors. Using compound-specific stable isotope measurements of livers, we estimated conversion efficiency to LC-PUFA. Barn swallow nestlings converted 76% of the omega-3 ALA and 46% of the omega-6 LA precursors to LC-PUFA. Purple martin nestlings converted 88% of the ALA and 44% of the LA. Both species converted five times more ALA to DHA than previously reported in tree swallows (Tachycineta bicolor) and may be more adapted to fluctuations in diet quality and habitat types. Our research highlights the variability in conversion efficiency within the guild of aerial insectivores and the need to better understand which species may be less resilient to sudden changes in nutritional landscapes.

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)0.000
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 score0.163
Threshold uncertainty score0.683

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.015
GPT teacher head0.268
Teacher spread0.254 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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