Sex-biased survival of nestlings under unfavourable conditions drives secondary sex ratio in little owls (Athene noctua)
Tschumi, M., Humbel, J., Naef-Daenzer, B. and Grüebler, M. (2018). Sex-biased survival of nestlings under unfavourable conditions drives secondary sex ratio in little owls (Athene noctua). 5th European Congress of Conservation Biology. doi: 10.17011/conference/eccb2018/107646
© the Authors, 2018
Identifying variation in key life history traits is crucial to predict population dynamics of endangered species. An increased bias in sex ratio as a result of low habitat quality can reinforce population decline and drive small populations to extinction. This is particularly true for monogamous bird species such as the little owl (Athene noctua). However, the underlying mechanisms driving biased sex ratios often remain elusive. Using a robust sample of molecular sex determination data recorded at two nest visits within each of 247 broods we examined the development in brood sex ratio, sexual size dimorphism and factors affecting the survival of little owl nestlings. Brood sex ratio in little owl broods was female-biased at fledging but not before the middle of the nestling period and it was female-biased at the end but not at the beginning of the breeding season. Female nestlings showed higher body mass than male nestlings of the same hatching rank. A survival analysis corroborated that late-hatched nestlings of low body mass showed reduced survival under adverse habitat conditions, resulting in a male-biased nestling mortality. Our conclusions therefore support theoretical predictions according to which the more sensitive sex will be disproportionally affected by unfavourable conditions that were previously identified by feeding experiments in the study system. This pattern of condition-dependent secondary brood sex ratio can severely affect the demographic parameters of endangered species and provides important implications for conservation. ...
PublisherOpen Science Centre, University of Jyväskylä
ConferenceECCB2018: 5th European Congress of Conservation Biology. 12th - 15th of June 2018, Jyväskylä, Finland
MetadataShow full item record
- ECCB 2018 
Showing items with similar title or keywords.
Making conservation sustainable under unfavourable conditions : the case of Chimanimani National Reserve, Mozambique Virtanen, Pekka (Routledge, 2020)Based on a case study from the Chimanimani National Reserve in Mozambique, this article analyses to what extent different types of operational practices can contribute to the sustainability of protected areas in relatively ...
Biological control of potato soft rot caused by Dickeya solani and the survival of bacterial antagonists under cold storage conditions Hadizadeh, I.; Peivastegan, B.; Hannukkala, A.; van der Wolf, J. M.; Nissinen, Riitta; Pirhonen, M. (Blackwell Scientific, 2019)Dickeya and Pectobacterium are responsible for causing blackleg of plants and soft rot of tubers in storage and in the field, giving rise to losses in seed potato production. In an attempt to improve potato health, biocontrol ...
Differential effects of perceptions of equal, favourable and unfavourable autonomy support on educational and well-being outcomes Chatzisarantis, Nikos L.D.; Ada, Elif Nilay; Ahmadi, Malek; Caltabiano, Nerina; Wang, Deming; Thogersen-Ntoumani, Cecilie; Hagger, Martin (Elsevier Inc, 2019)In this study, we examined whether high-school students experienced optimal educational and well-being outcomes when they perceived that they and their classmates received an equal, rather than unequal, and high amount of ...
Muscle fiber-type distribution predicts weight gain and unfavourable left ventricular geometry: a 19 year follow-up study Karjalainen, Jouko; Tikkanen, Heikki; Hernelahti, Miika; Kujala, Urho (BioMed Central, 2006)BACKGROUND: Skeletal muscle consists of type-I (slow-twitch) and type-II (fast-twitch) fibers, with proportions highly variable between individuals and mostly determined by genetic factors. Cross-sectional studies have ...
Precision exercise medicine : predicting unfavourable status and development in the 20-m shuttle run test performance in adolescence with machine learning Joensuu, Laura; Rautiainen, Ilkka; Äyrämö, Sami; Syväoja, Heidi J; Kauppi, Jukka-Pekka; Kujala, Urho M; Tammelin, Tuija H (BMJ Publishing Group, 2021)Objectives: To assess the ability to predict individual unfavourable future status and development in the 20m shuttle run test (20MSRT) during adolescence with machine learning (random forest (RF) classifier). Methods: ...