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Record W2959866709 · doi:10.1111/1365-2435.13406

Phenotypic plasticity or evolutionary change? An examination of the phenological response of an arctic seabird to climate change

2019· article· en· W2959866709 on OpenAlexaff
Drew Sauve, George J. Divoky, Vicki L. Friesen

Bibliographic record

VenueFunctional Ecology · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicSpecies Distribution and Climate Change
Canadian institutionsQueen's University
Fundersnot available
KeywordsPhenologyBiologySeabirdPhenotypic plasticityEcologyClimate changeSnowmeltAvian clutch sizePopulationArcticDemographyReproduction

Abstract

fetched live from OpenAlex

Abstract Phenological adjustments are an important aspect of a population's response to climate change. Changes in phenology can occur through either individual plasticity or evolutionary change within populations. Few studies have investigated both these processes in Arctic environments. Using 42 years of individual and pedigree data, we evaluated the contribution of plasticity and evolution to variation in breeding phenology at a colony of a high Arctic sea‐ice obligate seabird, Mandt's black guillemot ( Cepphus grylle mandtii ). Mean clutch initiation (first egg in a clutch) advanced 7.8 days, and both environmental (snowmelt) and demographic (years of breeding experience) factors varied among years. Earlier phenology was associated with earlier snowmelt and experienced mothers. Females advanced phenology at different rates as they aged but at similar rates in response to variation in snowmelt. Heritability of clutch initiation was negligible, and there was no evidence of evolution contributing to phenological changes. Earlier laying was associated with increased annual number of fledglings and annual adult survival at the individual level suggesting that the phenological changes are adaptive and are driven by phenotypic plasticity, but not genetic responses. We propose that species with a constrained breeding season (like many Arctic species) may have a limited ability beyond existing plasticity to respond to changing environmental conditions. A free Plain Language Summary can be found within the Supporting Information of this article.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.077
Threshold uncertainty score0.960

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)0.0690.001

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 head0.057
GPT teacher head0.256
Teacher spread0.199 · 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.

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

Citations38
Published2019
Admission routes1
Has abstractyes

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