| Literature DB >> 33841769 |
Pablo Capilla-Lasheras1,2, Blanca Bondía2, José I Aguirre2.
Abstract
Adjusting the composition of their nests, breeding birds can influence the environmental conditions that eggs and offspring experience. Birds often use feathers to build nests, presumably due to their insulating properties. The amount of feathers in nests is often associated with increased nestling survival and body condition. However, it is unclear whether these putative beneficial effects of adding feathers to nests are relevant in a wide range of environmental conditions. Here, we combine data on weather conditions and feathers in nests (i.e., nest composition) to investigate their relative contribution to reproductive success in the Eurasian tree sparrow (Passer montanus). Specifically, we investigate whether the effect of weather conditions on breeding success is modulated by the amount of feathers added to the nest. We found a strong negative effect of rainfall on the number of nestlings that successfully fledged per breeding attempt, but this negative effect was not mitigated by the amount of feathers in nests. We also found that the amount of feathers in nests varied along the breeding season, with nests containing more feathers early in the breeding season, when temperatures were lower. Despite considerable variation in nest composition, our results do not suggest an important role of feathers in nests protecting eggs or nestling tree sparrows against fluctuations in environmental conditions.Entities:
Keywords: feathers; nest composition; rainfall; reproductive success; tree sparrow
Year: 2021 PMID: 33841769 PMCID: PMC8019055 DOI: 10.1002/ece3.7234
Source DB: PubMed Journal: Ecol Evol ISSN: 2045-7758 Impact factor: 2.912
FIGURE 1Eurasian tree sparrow and its nest in our study population. (a) Adult tree sparrow (Passer montanus). (b) Nest‐box type used in this study, occupied by a pair of tree sparrows. (c) Tree sparrow nest built inside a nest box. Tree sparrows use grass and tweaks to build the nest and then lined it with feathers
Environmental effects on (a) number of tree sparrow nestlings that successfully fledged and (b) on number of hatched eggs per brood
| a) Number of nestlings that fledged ( | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Intercept | Rainfall (incubation) | Rainfall (nestling phase) | Minimum temperature (nestling phase) | Minimum temperature (nestling phase)2 | Clutch size | Clutch completion date | Breeding year |
| AIC | ΔAIC |
| 0.982 | −0.366 | 0.162 | −0.102 | 6 | 591.7 | 0.0 | ||||
| 0.980 | −0.206 | 0.067 | −0.139 | 0.149 | 7 | 592.1 | 0.4 | |||
| 0.995 | 0.071 | −0.302 | 0.158 | 0.081 | 7 | 592.3 | 0.6 | |||
| 0.997 | −0.277 | 0.148 | 0.080 | 6 | 592.3 | 0.6 | ||||
| 0.982 | 0.071 | −0.321 | 0.170 | 6 | 592.8 | 1.1 | ||||
| 0.984 | −0.303 | 0.161 | 5 | 592.8 | 1.1 | |||||
| 0.985 | 0.217 | −0.220 | 0.146 | 6 | 594.2 | 2.5 | ||||
Models within a ΔAIC value of six retained after applying the nesting rule (Richards, 2008) are shown. Model coefficients are mean‐centered and scaled by one standard deviation. N = sample size; k = number of model parameters. “Site” and “nest‐box ID” were included as random intercepts. Predictors that did not appear in any model within a ΔAIC value of six after applying the nesting rule are not presented in this table (see methods for a full list of predictors included in these models). Top models in a and b explained 24.57% and 15.08% of the total variation in the number of nestlings that fledged and the number of eggs that hatched.
Estimate for the 2012 breeding year
Estimate for 1st clutches
FIGURE 2Rainfall effects on the number of nestlings that survived to fledging. The number of nestlings that survived to fledging per brood was negatively associated by total rainfall in the first ten days of life of tree sparrow nestlings. Number of nestlings that fledged (i.e., y‐axis) and total rainfall during the nestling stage (i.e., x‐axis) for 157 broods (see Table 1a). Mean ± SE (standard error) model predictions are illustrated in red (based on top model in Table 1a), with raw data point represented by transparent blue dots. Model predictions are averaged over the observed range of clutch sizes (2–8 eggs)
Nests contained more feathers when minimum temperatures were low
| Intercept | Clutch completion date | Minimum temperature (nestling phase) | Rainfall (nestling phase) | Breeding year |
| AIC | ΔAIC |
|---|---|---|---|---|---|---|---|
| 0.011 | −0.461 | 5 | 91.7 | 0.0 | |||
| 0.042 | −0.325 | 5 | 95.4 | 3.6 | |||
| 0.022 | 0.309 | 5 | 95.6 | 3.9 | |||
| −0.009 | −0.274 | 5 | 95.7 | 4.0 | |||
| 0.029 | 4 | 97.1 | 5.4 |
The amount of feathers in nests was negatively predicted by minimum temperatures during the nestling rearing phase of reproduction. Models within a ΔAIC value of six retained after applying the nesting rule (Richards, 2008) are shown. Model coefficients are mean‐centered and scaled by one standard deviation. N = 32 first broods. k = number of model parameters. “Site” and “nest‐box ID” were included as random intercepts. Predictors that did not appear in any model within a ΔAIC value of six after applying the nesting rule are not presented in this table (see methods for a full list of predictors included in these models). Top model explained 44.31% of the total variation in the amount of feathers in nests (i.e., conditional R 2 ‐ (Nakagawa & Schielzeth, 2013).
Estimate for the 2012 breeding year.
FIGURE 3Nests contained more feathers when minimum temperatures during the first ten days of life of tree sparrow nestlings were low. Mean ± SE (standard error) model predictions are illustrated in red (based on top model in Table 2), with raw data point represented by transparent blue dots