ArticleProceedings. Biological sciences2019
The environmental predictors of spatio-temporal variation in the breeding phenology of a passerine bird.
Article in Proceedings. Biological sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Article
- Native trees are related to advanced bird breeding phenology and increased reproductive success along an urban gradient.Ecology · 2026Article
- Potential for bird-insect phenological mismatch in a tri-trophic system.The Journal of animal ecology · 2025Article
- Variable Breeding Strategies in a Fluctuating Environment: A Feeding Experiment in Eastern Chipmunks.Ecology and evolution · 2025Article
- Complex relationships between climate and reproduction in a resident montane bird.Royal Society open science · 2023Article
- Hatching phenology is lagging behind an advancing snowmelt pattern in a high-alpine bird.Scientific reports · 2021Article
- From individual to population level: Temperature and snow cover modulate fledging success through breeding phenology in greylag geese (Anser anser).Scientific reports · 2021Article
- Best environmental predictors of breeding phenology differ with elevation in a common woodland bird species.Ecology and evolution · 2020Article
- The environmental predictors of spatio-temporal variation in the breeding phenology of a passerine bird.Proceedings. Biological sciences · 2019Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Establishing the cues or constraints that influence avian timing of breeding is the key to accurate prediction of future phenology. This study aims to identify the aspects of the environment that predict the timing of two measures of breeding phenology (nest initiation and egg laying date) in an insectivorous woodland passerine, the blue tit (Cyanistes caeruleus). We analyse data collected from a 220 km, 40-site transect over 3 years and consider spring temperatures, tree leafing phenology, invertebrate availability and photoperiod as predictors of breeding phenology. We find that mean night-time temperature in early spring is the strongest predictor of both nest initiation and lay date and suggest this finding is most consistent with temperature acting as a constraint on breeding activity. Birch budburst phenology significantly predicts lay date additionally to temperature, either as a direct cue or indirectly via a correlated variable. We use cross-validation to show that our model accurately predicts lay date in two further years and find that similar variables predict lay date well across the UK national nest record scheme. This work refines our understanding of the principal factors influencing the timing of tit reproductive phenology and suggests that temperature may have both a direct and indirect effect.
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