2018
DOI: 10.1642/auk-17-62.1
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Ecological determinants ofTyrannusflycatcher nestling growth at north- and south-temperate latitudes

Abstract: BioOne Complete (complete.BioOne.org) is a full-text database of 200 subscribed and open-access titles in the biological, ecological, and environmental sciences published by nonprofit societies, associations, museums, institutions, and presses.

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Cited by 16 publications
(18 citation statements)
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References 63 publications
(84 reference statements)
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“…We also identified an interaction between precipitation and ambient temperature on nestling development, potentially reflecting food availability. Warm, wet weather promotes greater food availability for insectivores (Tuero et al, ), facilitating rapid development, while cold storms likely severely depress food availability (Martin et al, ). “Cold storms,” like other ecological extremes, have potentially disproportionate effects on fitness and are increasing in frequency with climate change (Wingfield et al, ).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…We also identified an interaction between precipitation and ambient temperature on nestling development, potentially reflecting food availability. Warm, wet weather promotes greater food availability for insectivores (Tuero et al, ), facilitating rapid development, while cold storms likely severely depress food availability (Martin et al, ). “Cold storms,” like other ecological extremes, have potentially disproportionate effects on fitness and are increasing in frequency with climate change (Wingfield et al, ).…”
Section: Discussionmentioning
confidence: 99%
“…Species experiencing low predation risk tend to prolong offspring development, potentially to maximize post-fledging survival (Martin, Tobalske, Riordan, Case, & Dial, 2018) and minimize the negative long-term fitness consequences of oxidative stress associated with rapid development (Lee, Monaghan, & Metcalfe, 2013). Studies addressing among-and within-population variation have provided support for additional influential drivers of offspring development duration, including: inclement weather (Pérez et al, 2016), microclimate temperature (Dawson, Lawrie, & O'Brien, 2005;Sofaer et al, 2018) and food availability (Stodola et al, 2010;Tuero et al, 2018). Variation in influential factors across populations challenges the generality of predation risk as the predominant driver.…”
Section: Introductionmentioning
confidence: 99%
“…Additionally, we found that warm precipitation prior to and during incubation positively influenced nestling mass in savannah sparrows. While precipitation during the nestling stage can be detrimental to offspring growth (Morganti et al, 2017), warm, wet conditions promote insect abundance (Tuero et al, 2018) and can increase nestling growth if precipitation occurs prior to hatch (Pipoly et al, 2013). Therefore, higher temperatures combined with precipitation may reflect greater food availability during peak nestling growth.…”
Section: Storm Thresholds and Precipitation Effectsmentioning
confidence: 99%
“…For example, tree swallow (Tachycineta bicolor) nestlings from experimentally heated nests increase wing growth (Dawson et al, 2005), suggesting optimal conditions can release energy allocation constraints and maximize size growth. In addition, weather effects on nestling growth are often linked to food resources, either by altering resource availability or by affecting the ability of parents to capture and deliver food (Stodola et al, 2010;Pipoly et al, 2013;Tuero et al, 2018). As such, altricial offspring are highly dependent on parental investment to mitigate their developmental responses to inclement weather (Auer and Martin, 2017;de Zwaan et al, 2019).…”
Section: Introductionmentioning
confidence: 99%
“…These models allow the simultaneous inclusion of growth parameters as fixed effects, describing the average growth curve, as well as random effects allowing for random variation around the average values (Sofaer et al 2013, Aldredge 2016. Moreover, NLMM allow a regressive approach where the effect of predictor variables can be evaluated for each growth parameter (Kalmbach et al 2009, Giudici et al 2017, Tuero et al 2018. Therefore, the application of the Richards equation using the NLMM approach appears as a flexible analytical tool to be considered for the analysis of avian growth.…”
Section: Introductionmentioning
confidence: 99%