Information on population trends and biological constraints from bat counts in roost cavities: a twenty-two-year case study of a Pipistrelle bats (Pipistrellus pipistrellus, Schreber) hibernaculum.

• Published in: Wildlife Research
• Main Authors: Kerbiriou, Christian, Julien, Jean François, Monsarrat, Sophie, Lustrat, Philippe, Haquart, Alexandre, Robert, Alexandre
• Other Authors: Centre d'Ecologie et des Sciences de la COnservation (CESCO), Muséum national d'Histoire naturelle (MNHN)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Chercheur indépendant
• Format: Article in Journal/Newspaper
• Language: English
• Published: HAL CCSD 2015
• Subjects: Pipistrellus pipistrellus; Population dynamics; count monitoring; deterministic matrix model; Stochastic-individual-based population model; disturbance; [SDE.BE]Environmental Sciences/Biodiversity and Ecology
• Online Access: https://hal.science/hal-02554293; https://hal.science/hal-02554293/document; https://hal.science/hal-02554293/file/KERBIRIOU_WIDLIFERESEARCH_HAL.pdf; https://doi.org/10.1071/WR14197

International audience Context : According to the current trend of biodiversity loss, information on population trends at large temporal and spatial scales is necessary. However, well-documented animal population dynamics are generally based on intensive protocols requiring animal manipulation, which can be impossible to conduct in species for which conservation is a concern.Aims : For many bat species, an alternative approach entails performing an appropriate analysis of counts in roost cavities. Because of managers’ perception of chaotic variations through time, relatively few count monitoring surveys are regularly analysed. Here, we present the analysis of a twenty-two-year survey of a large hibernaculum of pipistrelle bats (Pipistrellus pipistrellus) located in a railway tunnel in Paris, France.Methods : We propose that using combinations of population dynamics modelling using demographic parameters from the literature and statistical analyses helps with identifying the biological and methodological effects underlying the dynamics observed in census analyses. Key results : we determined that some of the observed year-to-year variations of population size cannot be explained only by the intrinsic dynamics of the population. In particular, in 1993-391994, the population size increased by >40%, which should have implied a massive immigration. This change coincided with the end of the operation of the railway line. After consideration of a drastic trend of population decline (7%/year) we were able to detect this event and several environmental effects. Specifically, the winter conditions and the temperature in July affected the colonysize, presumably because of aggregative behavior and reproduction success, respectively.Conclusions : Emigration-immigration processes might have preponderant effects on population dynamics. In addition, we our analysis demonstrates that (1) the study population suffered a large decline(2) a combination of human disturbance and meteorological variatione xplains these ...