Roe deer give birth each year in May. At each reproductive event, a female can be in different reproductive statuses: breeder or non breeder and can wean a variable number of offspring. The successive transitions between the different statuses of a given female give its individual reproductive trajectory. The performance of a given trajectory is assessed by its fitness which can be approximated by the total number of offspring weaned during the trajectory. Different individual life-history trajectories can exist in a same population and these different trajectories can reach similar or different fitness. This suggests that different strategies can be chosen by different individuals to reach the same fitness but also that individuals of high quality can reach higher fitness than individuals of low quality. The study of a roe deer population located in North-Eastern France allowed analyzing the sources and the consequences of individual heterogeneity on individual life-history trajectories and on population dynamics. This work showed that roe deer individual reproductive trajectories are consistent for a given female such as high quality females have an annual reproductive success higher than low-quality females. Female quality is partly generated by birth condition such as birth date and environmental conditions at birth. Individual life-history trajectories vary also randomly in relation to annual environmental conditions. In particular, climate change led to a decline in annual mean reproductive success and a decrease of the population growth rate in the last decades in relation to an increase of the mismatch between vegetation phenology and roe deer birth period. This work discussed how individual heterogeneity is generated in a long-lived species and how it influences individual life-history strategies and population dynamics
Identifer | oai:union.ndltd.org:CCSD/oai:tel.archives-ouvertes.fr:tel-00986868 |
Date | 06 March 2014 |
Creators | Plard, Floriane |
Publisher | Université Claude Bernard - Lyon I |
Source Sets | CCSD theses-EN-ligne, France |
Language | English |
Detected Language | English |
Type | PhD thesis |
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