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Character displacement of male nuptial colour in threespine sticklebacks (Gasterosteus aculeatus)

2007· article· en· W2098278220 on OpenAlexafffund
Arianne Albert, N. Millar, Dolph Schluter

Bibliographic record

VenueBiological Journal of the Linnean Society · 2007
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Behavior and Reproduction
Canadian institutionsMcGill UniversityUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCharacter displacementBiologyGasterosteusSympatryAllopatric speciationLimnetic zoneSympatric speciationSticklebackZoologyProfundal zoneEcologyBenthic zoneLittoral zonePopulationFishery

Abstract

fetched live from OpenAlex

Character displacement in signalling traits occurs when differences between species are greater in sympatry than where either species occurs alone. Finding character displacement in a signalling trait suggests that the trait has diverged as a result of interspecific interactions such as competition, aggression, predation, or reproductive interference. We tested for character displacement of male nuptial coloration between sympatric species of threespine sticklebacks (Gasterosteus aculeatus spp.). The sympatric pairs consist of a large ‘benthic’ species, which feeds on benthic invertebrates, and a smaller planktivorous ‘limnetic’ species. Breeding males of both species develop red throats and blue bodies, although limnetic males appear brighter. To test for character displacement, we compared the nuptial colour of benthics and limnetics from two species-pair lakes (sympatric) with that of males from three similar allopatric lakes (only one species present). We measured the intensity of blue and red coloration using reflectance spectra taken from live fish. We found that allopatric males were intermediate between limnetic and benthic males in the intensity of red colour, indicating character displacement in that trait in sympatry. By contrast, we found no evidence for character displacement in blue intensity, although it differed sharply between the species pairs in one lake (Priest).

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.738
Threshold uncertainty score0.223

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.028
GPT teacher head0.251
Teacher spread0.223 · 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

Citations39
Published2007
Admission routes2
Has abstractyes

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