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Record W1998732363 · doi:10.2478/ami-2012-0002

A multi-isotope (δ<sup>13</sup>C, δ<sup>15</sup>N, δ<sup>2</sup>H) approach to connecting European breeding and African wintering populations of barn swallow (<i>Hirundo rustica</i>)

2012· article· en· W1998732363 on OpenAlexaff
Keith A. Hobson, Anders Pape Møller, Steven L. Van Wilgenburg

Bibliographic record

VenueAnimal Migration · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsEnvironment and Climate Change Canada
Fundersnot available
KeywordsHirundoFeatherBarnGeographyEcologyRange (aeronautics)PlumageBiologyArchaeology

Abstract

fetched live from OpenAlex

A multi-isotope (δ13C, δ15N, δ2H) approach to connecting European breeding and African wintering populations of barn swallow (Hirundo rustica) Establishing links between breeding and wintering populations of longdistance migratory birds and other animals is fundamental to several aspects of migration research. However, severe limitations in our ability to track small-bodied migratory species still limits this field despite several recent technological breakthroughs. The measurement of naturally occurring stable isotopes of several elements in the tissues of migrants that travel across isotopic gradients or isoscapes has the potential to identify large scale migratory connectivity without some of the biases associated with the use of extrinsic markers. We investigated migratory connectivity between European breeding and African wintering populations of barn swallow (Hirundo rustica) by comparing feather isotope (δ13C, δ15N, δ2H) values with those expected from previously established feather isotopic clusters for Africa. We used a likelihood approach to assigning individuals to molt origins that also made use of prior information provided by ring recoveries as part of the EURING and SAFRING ringing efforts. We found evidence for strong isotopic spatial structure in the dataset, supporting the notion of a migratory divide in Europe with birds breeding in the Netherlands, Denmark, Germany and Eastern Europe wintering in southern Africa and virtually all samples from Switzerland westward being assigned to clusters in the northern portion of the species’ winter range. Individuals from the United Kingdom were assigned to areas including Namibia, Botswana, northern South Africa, and along the coast of Mozambique and Tanzania. Birds wintering in the northernmost region of the wintering grounds tended to breed in the southernmost region of the breeding grounds, providing some evidence of leap-frog migration. We detected a strong latitudinal threshold in feather δ13C in Europe for African-grown feathers, suggesting that birds breeding in southern Europe (< 50° Latitude) primarily used C3-dominated habitats in Africa, whereas birds in northern Europe (> 53° Latitude) primarily used C4-dominated habitats. Our results emphasize the power in using a multi-isotope approach to assign individuals and populations to known continental-scale isoscapes and the advantages of combining isotopic and conventional (ring recovery) information within a Bayesian assignment framework.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.005
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
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 head0.037
GPT teacher head0.252
Teacher spread0.215 · 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

Citations28
Published2012
Admission routes1
Has abstractyes

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