Territory Quality and Plumage Morph Predict Offspring Sex Ratio Variation in a Raptor
Chakarov N, Pauli M, Müller A-K, Potiek A, Grünkorn T, Dijkstra C, Krüger O (2015)
PLoS ONE 10(10): e0138295.
Zeitschriftenaufsatz
| Veröffentlicht | Englisch
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Chakarov, NaydenUniBi;
Pauli, Martina;
Müller, Anna-KatharinaUniBi;
Potiek, AstridUniBi;
Grünkorn, Thomas;
Dijkstra, Cor;
Krüger, OliverUniBi
Einrichtung
Abstract / Bemerkung
Parents may adapt their offspring sex ratio in response to their own phenotype and environmental conditions. The most significant causes for adaptive sex-ratio variation might express themselves as different distributions of fitness components between sexes along a given variable. Several causes for differential sex allocation in raptors with reversed sexual size dimorphism have been suggested. We search for correlates of fledgling sex in an extensive dataset on common buzzards Buteo buteo, a long-lived bird of prey. Larger female offspring could be more resource-demanding and starvation-prone and thus the costly sex. Prominent factors such as brood size and laying date did not predict nestling sex. Nonetheless, lifetime sex ratio (LSR, potentially indicative of individual sex allocation constraints) and overall nestling sex were explained by territory quality with more females being produced in better territories. Additionally, parental plumage morphs and the interaction of morph and prey abundance tended to explain LSR and nestling sex, indicating local adaptation of sex allocation However, in a limited census of nestling mortality, not females but males tended to die more frequently in prey-rich years. Also, although females could have potentially longer reproductive careers, a subset of our data encompassing full individual life histories showed that longevity and lifetime reproductive success were similarly distributed between the sexes. Thus, a basis for adaptive sex allocation in this population remains elusive. Overall, in common buzzards most major determinants of reproductive success appeared to have no effect on sex ratio but sex allocation may be adapted to local conditions in morph-specific patterns.
Erscheinungsjahr
2015
Zeitschriftentitel
PLoS ONE
Band
10
Ausgabe
10
Art.-Nr.
e0138295
Urheberrecht / Lizenzen
ISSN
1932-6203
Finanzierungs-Informationen
Open-Access-Publikationskosten wurden durch die Deutsche Forschungsgemeinschaft und die Universität Bielefeld gefördert.
Page URI
https://pub.uni-bielefeld.de/record/2780788
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Chakarov N, Pauli M, Müller A-K, et al. Territory Quality and Plumage Morph Predict Offspring Sex Ratio Variation in a Raptor. PLoS ONE. 2015;10(10): e0138295.
Chakarov, N., Pauli, M., Müller, A. - K., Potiek, A., Grünkorn, T., Dijkstra, C., & Krüger, O. (2015). Territory Quality and Plumage Morph Predict Offspring Sex Ratio Variation in a Raptor. PLoS ONE, 10(10), e0138295. doi:10.1371/journal.pone.0138295
Chakarov, Nayden, Pauli, Martina, Müller, Anna-Katharina, Potiek, Astrid, Grünkorn, Thomas, Dijkstra, Cor, and Krüger, Oliver. 2015. “Territory Quality and Plumage Morph Predict Offspring Sex Ratio Variation in a Raptor”. PLoS ONE 10 (10): e0138295.
Chakarov, N., Pauli, M., Müller, A. - K., Potiek, A., Grünkorn, T., Dijkstra, C., and Krüger, O. (2015). Territory Quality and Plumage Morph Predict Offspring Sex Ratio Variation in a Raptor. PLoS ONE 10:e0138295.
Chakarov, N., et al., 2015. Territory Quality and Plumage Morph Predict Offspring Sex Ratio Variation in a Raptor. PLoS ONE, 10(10): e0138295.
N. Chakarov, et al., “Territory Quality and Plumage Morph Predict Offspring Sex Ratio Variation in a Raptor”, PLoS ONE, vol. 10, 2015, : e0138295.
Chakarov, N., Pauli, M., Müller, A.-K., Potiek, A., Grünkorn, T., Dijkstra, C., Krüger, O.: Territory Quality and Plumage Morph Predict Offspring Sex Ratio Variation in a Raptor. PLoS ONE. 10, : e0138295 (2015).
Chakarov, Nayden, Pauli, Martina, Müller, Anna-Katharina, Potiek, Astrid, Grünkorn, Thomas, Dijkstra, Cor, and Krüger, Oliver. “Territory Quality and Plumage Morph Predict Offspring Sex Ratio Variation in a Raptor”. PLoS ONE 10.10 (2015): e0138295.
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2019-09-06T09:18:33Z
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Daten bereitgestellt von European Bioinformatics Institute (EBI)
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