2012
DOI: 10.1111/j.1365-2656.2012.01968.x
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Climate change, breeding date and nestling diet: how temperature differentially affects seasonal changes in pied flycatcher diet depending on habitat variation

Abstract: Summary 1.Climate warming has led to shifts in the seasonal timing of species. These shifts can differ across trophic levels, and as a result, predator phenology can get out of synchrony with prey phenology. This can have major consequences for predators such as population declines owing to low reproductive success. However, such trophic interactions are likely to differ between habitats, resulting in differential susceptibility of populations to increases in spring temperatures. A mismatch between breeding ph… Show more

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Cited by 111 publications
(129 citation statements)
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“…For example, several species breed either in oak habitats, where caterpillars exist in great abundance during a short time period during spring or in coniferous habitats with lower and later caterpillar abundance peaks Blondel 2007;Veen et al 2010). The resource phenology in coniferous habitats seems relatively constant while the resource peak in oak habitats is correlated with spring temperature Burger et al 2012), which is in line with one of our assumed scenarios of change (scenario 3, Fig. 2).…”
Section: Future Directions and Conclusionsupporting
confidence: 69%
“…For example, several species breed either in oak habitats, where caterpillars exist in great abundance during a short time period during spring or in coniferous habitats with lower and later caterpillar abundance peaks Blondel 2007;Veen et al 2010). The resource phenology in coniferous habitats seems relatively constant while the resource peak in oak habitats is correlated with spring temperature Burger et al 2012), which is in line with one of our assumed scenarios of change (scenario 3, Fig. 2).…”
Section: Future Directions and Conclusionsupporting
confidence: 69%
“…Insufficient advancement of laying date relative to the phenological advancement of prey species has been associated with reduced fledging success in various insectivorous bird species (e.g., Burger et al. 2012; Reed et al. 2013).…”
Section: Discussionmentioning
confidence: 99%
“…We used PQL for the model fits due to considerable overdispersion within the count data (Bolker et al 2009). Analysis was conducted using the glmmPQL function within the 'MASS' package (Venables and Ripley 2002) is presented to provide a clear overview of the impact of main factors on seed production following Burger et al (2012) who also used glmmPQL to fit overdispersed ecological data. Mean seed weight between burn season (pooled by study site) for material collected during the 2012 census was compared using a t test, assuming unequal variance.…”
Section: Discussionmentioning
confidence: 99%