An abundant Paddlefish Polyodon spathula population exists in a 0.8 ha pool below a water control structure at Sam D. Hamilton Noxubee National Wildlife Refuge, Mississippi. Managers were concerned that regulated flows from the structure were causing an ecological trap if Paddlefish were being attracted from the larger river downstream during the spawning period, but conditions were not suitable to facilitate reproduction. Between February 2016 to April 2018, 117 Paddlefish were identified and daily abundance was estimated between 18 and 75 fish. Telemetry study of 59 fish suggests a mixed population structure where some remain in the pool year-round and other emigrate seasonally, cued by rising spring discharge and water temperature. Reproduction was not documented which suggests a critical component needed for spawning may be missing, at least during this study. Therefore, given the need to remove Paddlefish from the pool, translocation and flow releases may be effective management strategies.

Mettre en place des mesures de protection efficaces contre la dégradation et la fragmentation de l'habitat d'une espèce nécessite d'être capable de comprendre l'impact de l'environnement sur sa dynamique de population ainsi que sa sensibilité à la perte de connectivité entre les populations. Obtenir ces informations est déjà un défi en soi, qui se complique encore pour les espèces trop sensibles au dérangement pour être suivies de manière classique. Lors de ce travail, nous avons étudié la dynamique et la génétique des populations d'une chauve-souris forestière qui a subi un très fort déclin dans le nord de l'Europe, le Petit rhinolophe (Rhinolophus hipposideros), à l'aide de méthodes non-invasives (comptages, génétique non-invasive).Nos résultats ont montré que le climat et le paysage autour des colonies de maternités influence la taille et la dynamique des populations du Petit rhinolophe. Nous avons également confirmé un impact direct du paysage sur la survie des juvéniles. Enfin, nous avons observé que la diversité génétique des populations pouvait être fortement diminuée par leurs histoires démographiques et par un manque de connectivité entre les populations. Ces résultats ont des implications directes pour la conservation du Petit rhinolophe mais aussi pour le développement des analyses intégrant des données de génétique non-invasive pour la biologie de la conservation. / Efficient conservation management against habitat degradation and fragmentation of a species requires understanding how the environment impacts its population dynamics and the species’ sensitivity to connectivity loss. Acquiring sufficient knowledge about these processes is challenging for any species, and is even more complicated for species too sensitive to be studied with classical methods. During this work, we studied the population dynamics and genetics of a woodland specialized bat who has undergone a serious decline in the north of Europe, the lesser horseshoe bat (Rhinolophus hipposideros), with non-invasive methods (counts, non-invasive genetics).Our results shown that climate and landscape around maternity colonies explain population size variations and dynamics of the lesser horseshoe bat. We also confirmed a direct impact of landscape on juvenile survival. We finally observed that genetic diversity could be strongly decreased by population history and a lack of connectivity between populations. Our results have direct implications for the lesser horseshoe bat conservation but also for the development of analyses integrating non-invasive genetic data in conservation biology.

No description available.

New analytical and technological tools have the potential to yield unprecedented insights into the life histories of migratory species. I used Bayesian population models and Global Positioning System-acceleration tracking devices to understand the demographic mechanism and likely drivers underpinning the Greenland White-fronted Goose (Anser albifrons flavirostris) population decline. I used a 27-year capture-mark-recapture dataset from the main wintering site for these birds (Wexford, Ireland) to construct multistate models that estimated age- and sex-specific survival and movement probabilities and found no sex-bias in emigration or ‘remigration’ rates (chapter 2). These formed the foundation for an integrated population model, which included population size and productivity data to assess source-sink dynamics through estimation of age-, site-, and year-specific survival and movement probabilities, the results of which suggest that Wexford is a large sink and that a reduction in productivity (measured as recruitment rate) is the proximate demographic mechanism behind the population decline (chapter 3). Low productivity may be due to environmental conditions on breeding areas in west Greenland, whereby birds bred at youngest ages when conditions were favourable during adulthood and the breeding year (chapter 4), and possibly mediated by links with the social system, as birds remained with parents into adulthood, forfeiting immediate reproductive success, although a cost-benefit model showed the ‘leave’ strategy was marginally favoured over the ‘stay’ strategy at all ages (chapter 5). Foraging during spring does not appear to limit breeding, as breeding and non-breeding birds did not differ in their proportion of time feeding or energy expenditure (chapter 6). Two successful breeding birds were the only tagged individuals (of 15) to even attempt to nest, suggesting low breeding propensity has contributed to low productivity. Although birds wintering in Ireland migrated further to breeding areas than those wintering in Scotland, there were no differences in feeding between groups during spring migration (chapter 7). These findings suggest that Greenland White-fronted Geese are not limited until arrival on breeding areas and the increasingly poor environmental conditions there (chapter 8). More broadly, these findings demonstrate the application of novel tools to diagnose the cause of population decline.

Integrated data analyses are becoming increasingly popular in studies of wild animal populations where two or more separate sources of data contain information about common parameters. Here we develop an integrated population model using abundance and demographic data from a study of common guillemots (Uria aalge) on the Isle of May, southeast Scotland. A state-space model for the count data is supplemented by three demographic time series (productivity and two mark-recapture-recovery (MRR)), enabling the estimation of prebreeder emigration rate - a parameter for which there is no direct observational data, and which is unidentifiable in the separate analysis of MRR data. A Bayesian approach using MCMC provides a flexible and powerful analysis framework. This model is extended to provide predictions of future population trajectories. Adopting random effects models for the survival and productivity parameters, we implement the MCMC algorithm to obtain a posterior sample of the underlying process means and variances (and population sizes) within the study period. Given this sample, we predict future demographic parameters, which in turn allows us to predict future population sizes and obtain the corresponding posterior distribution. Under the assumption that recent, unfavourable conditions persist in the future, we obtain a posterior probability of 70% that there is a population decline of >25% over a 10-year period. Lastly, using MRR data we test for spatial, temporal and age-related correlations in guillemot survival among three widely separated Scottish colonies that have varying overlap in nonbreeding distribution. We show that survival is highly correlated over time for colonies/age classes sharing wintering areas, and essentially uncorrelated for those with separate wintering areas. These results strongly suggest that one or more aspects of winter environment are responsible for spatiotemporal variation in survival of British guillemots, and provide insight into the factors driving multi-population dynamics of the species.