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Record W2127256294 · doi:10.1111/jofo.12305

Erratum: Isotopic (δ <sup>2</sup> H <sub>f</sub> ) evidence of “loop migration” and use of the Gulf of Maine Flyway by both western and eastern breeding populations of Blackpoll Warblers

2019· erratum· en· W2127256294 on OpenAlexaffabout
Rebecca L. Holberton, Steven L. Van Wilgenburg, Adrienne J. Leppold, Keith A. Hobson

Bibliographic record

VenueJournal of Field Ornithology · 2019
Typeerratum
Languageen
FieldEnvironmental Science
TopicAvian ecology and behavior
Canadian institutionsEnvironment and Climate Change Canada
Fundersnot available
KeywordsGeographyFeatherFlywayHumanitiesForestryBiologyZoologyEcologyArtHabitat

Abstract

fetched live from OpenAlex

Our earlier report of breeding/natal ground assignment, through the use of feather deuterium samples (δ2Hf) of Blackpoll Warblers (Setophaga striata) during spring and fall migration at various sites in North America, contained an erroneous breeding origin map derived for a group of birds sampled during spring migration in Florida. Updated analyses revealed a broader breeding range assignment than previously reported, but this change does not affect our original conclusions that Blackpoll Warblers exhibit a “loop migration” pattern as they move between breeding and wintering areas. Evidencia isotópica (δ2Hf) de “migración en bucle” y uso de la ruta del Golfo de Maine por poblaciones reproductivas del este y el oeste del chipe Setophaga striata Nuestro reporte previo sobre la asignación de sitios de anidación/natales con base en muestras de deuterio (δ2Hf) del chipe Setophaga striata capturados durante las migraciones de primavera y otoño en varios sitios de Norteamérica, contienen un mapa erróneo de anidación-origen derivado de un grupo de aves muestreado durante la migración de primavera en Florida. Análisis actualizados revelan una asignación de rango reproductivo más amplia que la previamente reportada, si bien este cambio no afecta nuestra conclusión original de que los individuos de S. striata exhiben un patrón de “migración en bucle” cuando se desplazan entre áreas de reproducción y de invernada. During a recent review of our dataset of stable hydrogen isotope ratios in feathers (δ2Hf) used to assign breeding and natal origins of Blackpoll Warblers (Setophaga striata) migrating through various locations in North America during spring and fall migration (Holberton et al. 2015), we discovered that crown feather samples taken in Florida (N = 56) in spring clearly included not only feathers grown on the breeding grounds, but also those grown during the prealternate molt in wintering areas. This resulted in some δ2Hf values being erroneously included in the breeding/natal ground assignment of these birds. Our previous analysis restricted breeding/natal grounds assignment of this group primarily to the southeastern portions of the breeding range in southern Quebec, New England, and the Maritime provinces (Fig. 3 in Holberton et al. 2015). After applying a conservative δ2Hf threshold (< −67‰) to better depict breeding/natal origins of this sample, a new analysis (N = 7) provides a more realistic portrayal of breeding/natal origins of the Blackpoll Warblers sampled as they moved through eastern Florida. Further, it changes the statistical analysis for the season and site comparisons. The statistical results remain similar, except that the removal of the prealternate molt samples changes our previous conclusion that Florida samples were enriched compared to the other sampling locations (see revised Table 2). Our reanalysis is congruent with the earlier assignment pattern, but allows for a greater range of breeding/natal origin for this group of birds (Fig. 1 and associated legend below), and our earlier conclusion that Western and Eastern populations of Blackpoll Warblers diverge while moving north through Florida in spring may be less robust. We have also redrawn Figure 5 in Holberton et al. (2015) to reflect the change in sample size for birds sampled in Florida during spring migration (Fig. 5 and associated legend below). We thank Ricky Dunn for reviewing our original data and bringing this oversight to our attention, and Gary Ritchison for help in publishing this erratum.

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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)0.000
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 score0.040
Threshold uncertainty score0.610

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.031
GPT teacher head0.261
Teacher spread0.230 · 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

Citations9
Published2019
Admission routes2
Has abstractyes

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