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Record W1486851531 · doi:10.1111/jzo.12200

Change in wing morphology of the European starling during and after colonization of <scp>N</scp>orth <scp>A</scp>merica

2014· article· en· W1486851531 on OpenAlexaff
Pierre‐Paul Bitton, Brendan A. Graham

Bibliographic record

VenueJournal of Zoology · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Behavior and Reproduction
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsBiologyStarlingFeatherBiological dispersalWingPopulationColonizationContext (archaeology)EcologyRange (aeronautics)HabitatForagingZoologyDemography

Abstract

fetched live from OpenAlex

Abstract When exposed to a new area and the potential for range expansion, species may quickly evolve morphological traits that allow them to colonize novel habitat. How quickly these changes occur and how long they subsequently persist in the established population has rarely been documented in birds. The European starling has been introduced in a number of areas around the world, including N orth A merica where an initially small population was established in 1890 and 1891. Their prolific expansion westward across the continent occurred at a tremendous rate of up to 90 km/year. We hypothesized that the individuals leading the expansion wave had longer and pointier wings because these characteristics are associated with greater juvenile dispersal distances. Therefore, we predicted that successive generations of range expanding birds would display increasing wing length and pointedness. Using museum specimens collected in N orth A merica since their introduction, we tested this hypothesis and examined temporal patterns to determine if wing shape changed following the establishment of local populations after the initial colonizing phase. Contrary to our expectations, wing length and shape did not change during the colonization wave. However, the pointedness of European starling wings decreased across the continent by more than 3.8% over the last 120 years. This was caused by an increase in the length of the secondary feathers, not by a decrease in the length of primary feathers. We discuss these results in the context of increased afforestation and urbanization during that time, and the potential benefit of rounder wings for foraging and predator avoidance.

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)0.000
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 score0.328
Threshold uncertainty score0.119

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.017
GPT teacher head0.217
Teacher spread0.200 · 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

Citations29
Published2014
Admission routes1
Has abstractyes

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