The effects of hatching date on timing of autumn migration in partial migrants – an individual approach

Meller, Kalle; Lehikoinen, Aleksi; Vähätalo, Anssi V.

doi:10.1111/j.1600-048x.2012.00016.x

Cited by 12 publications

(13 citation statements)

References 40 publications

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“…; Meller et al . ). In the second stage, a better quality winter territory can lead to a better quality breeding territory (Norris et al .…”

Section: Discussionmentioning

confidence: 97%

“…Other studies have established causality over a single migratory stage of the species in question. Hatching earlier or in a higher quality breeding territory can lead to a better quality winter territory, because of juvenile condition, more time to sample better locations, or prior residence effects (Marra 2000;Gunnarsson et al 2005;Snell-Rood & Cristol 2005;Sergio et al 2007;Johnson et al 2009;Meller et al 2013). In the second stage, a better quality winter territory can lead to a better quality breeding territory (Norris et al 2004), because of energetic carryover effects (Alves et al 2013;Catry et al 2013), earlier arrival (Studds & Marra 2005), or if better quality wintering sites are geographically closer to the breeding sites (H€ otker 2003; Bearhop et al 2004;Norris et al 2004;Bregnballe et al 2006).…”

Section: Positive Feedback Between Trait Divergence and Ecotype-habitmentioning

confidence: 99%

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Carryover effects from natal habitat type upon competitive ability lead to trait divergence or source–sink dynamics

et al. 2018

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Local adaptation to rare habitats is difficult due to gene flow, but can occur if the habitat has higher productivity. Differences in offspring phenotypes have attracted little attention in this context. We model a scenario where the rarer habitat improves offspring's later competitive ability - a carryover effect that operates on top of local adaptation to one or the other habitat type. Assuming localised dispersal, so the offspring tend to settle in similar habitat to the natal type, the superior competitive ability of offspring remaining in the rarer habitat hampers immigration from the majority habitat. This initiates a positive feedback between local adaptation and trait divergence, which can thereafter be reinforced by coevolution with dispersal traits that match ecotype to habitat type. Rarity strengthens selection on dispersal traits and promotes linkage disequilibrium between locally adapted traits and ecotype-habitat matching dispersal. We propose that carryover effects may initiate isolation by ecology.

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“…; Meller et al . ). In the second stage, a better quality winter territory can lead to a better quality breeding territory (Norris et al .…”

Section: Discussionmentioning

confidence: 97%

Section: Positive Feedback Between Trait Divergence and Ecotype-habitmentioning

confidence: 99%

Carryover effects from natal habitat type upon competitive ability lead to trait divergence or source–sink dynamics

et al. 2018

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“…The reported differences in the organization of life cycles in early-and late-hatched offspring may come from different methods than our experimental manipulation of hatch date, such as correlative measurements of early-and late-hatched individuals (vireos [28]; great tits [49]; stonechats [47]; short distance migrants [48]); comparisons between first and second broods (great tits [49]); photoperiodic manipulations simulating early moments in the season (blackcaps [29,50]) or comparison across different populations (different subspecies of stonechats [25,26]). Moreover, migration distance could also play a role as short distance migrants and residents are supposedly less constrained [19,49].…”

Section: Discussionmentioning

confidence: 99%

Climate change relaxes the time constraints for late-born offspring in a long-distance migrant

et al. 2016

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Animals in seasonal environments need to fit their annual-cycle stages, such as moult and migration, in a tight schedule. Climate change affects the phenology of organisms and causes advancements in timing of these annual-cycle stages but not necessarily at the same rates. For migratory birds, this can lead to more severe or more relaxed time constraints in the time from fledging to migration, depending on the relative shifts of the different stages. We tested how a shift in hatch date, which has advanced due to climate change, impacts the organization of the birds' whole annual cycle. We experimentally advanced and delayed the hatch date of pied flycatcher chicks in the field and then measured the timing of their annual-cycle stages in a controlled laboratory environment. Hatch date affected the timing of moult and pre-migratory fattening, but not migration. Early-born birds hence had a longer time to fatten up than late-born ones; the latter reduced their interval between onset of fattening and migration to be able to migrate at the same time as the early-born birds. This difference in time constraints for early- and late-born individuals may explain why early-born offspring have a higher probability to recruit as a breeding bird. Climate change-associated advancements of avian egg-lay dates, which in turn advances hatch dates, can thus reduce the negative fitness consequences of reproducing late, thereby reducing the selection for early egg-laying migratory birds.

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“…There is no obvious explanation to this pattern, but perhaps passerines have on average more different populations passing through Hanko, hence showing a more complex pattern of phenology. Another explanation could be that many species have several clutches and might, at least in autumn, initiate migration at different times depending on when they finish breeding (Meller et al ).…”

Section: Discussionmentioning

confidence: 99%

An empirical comparison of models for the phenology of bird migration

Lindén

Meller

Knape

2016

Journal of Avian Biology

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Bird migration phenology shows strong responses to climate change. Studies of trends and patterns in phenology are typically based on annual summarizing metrics, such as means and quantiles calculated from raw daily count data. However, with irregularly sampled data and large day-to-day variation, such metrics can be biased and noisy, and may be analysed using phenological functions fitted to the data.Here we use count data of migration passage from a Finnish bird observatory to compare different models for the phenological distributions of spring migration (27 species) and autumn migration (57 species). We assess parsimony and goodness-of-fit in a set of models, with phenological functions of different complexity, optionally with covariates accounting for day-to-day variability. The covariates describe migration intensities of related species or relative migration intensities the previous day (autocovariates).We found that parametric models are often preferred over the more flexible generalized additive models with constrained degrees of freedom. Models corresponding to a mixture of two distinct passing populations were frequently preferred over simpler ones, but usually no more complex models are needed. Slightly more complex models were favoured in spring compared to autumn. Related species' migration activity effectively improves the model by accounting for the large day-to-day variation.Autocovariates were usually not that relevant, implying that autocorrelation is generally not a major concern if phenology is modelled properly. We suggest that parametric models are relatively good for studying single-population migration phenology, or a mix of two groups with distinct phenologies, especially if daily variation in migration intensity can be controlled for. Generalized additive models may be useful when the migrating population composition is unknown. Despite these guidelines, choosing an appropriate model involves case-by-case assessment or the biological relevance and rationale for modelling phenology.

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The effects of hatching date on timing of autumn migration in partial migrants – an individual approach

Cited by 12 publications

References 40 publications

Carryover effects from natal habitat type upon competitive ability lead to trait divergence or source–sink dynamics

Carryover effects from natal habitat type upon competitive ability lead to trait divergence or source–sink dynamics

Climate change relaxes the time constraints for late-born offspring in a long-distance migrant

An empirical comparison of models for the phenology of bird migration

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