Reproductive biology of the Big Brown Bat (Eptesicus fuscus) in Alberta

Schowalter, D.; Gunson, J. R.

doi:10.5962/p.346864

Cited by 13 publications

References 13 publications

(24 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

Capture rates of Eptesicus fuscus increase following white‐nose syndrome across the eastern US

Simonis,

Hartzler,

Turner

et al. 2024

Ecology and Evolution

View full text Add to dashboard Cite

Emerging infectious diseases threaten wildlife globally. While the effects of infectious diseases on hosts with severe infections and high mortality rates often receive considerable attention, effects on hosts that persist despite infection are less frequently studied. To understand how persisting host populations change in the face of disease, we quantified changes to the capture rates of Eptesicus fuscus (big brown bats), a persisting species susceptible to infection by the invasive fungal pathogen Pseudogymnoascus destructans (Pd; causative agent for white‐nose syndrome), across the eastern US using a 30‐year dataset. Capture rates of male and female E. fuscus increased from preinvasion to pathogen establishment years, with greater increases to the capture rates of females than males. Among females, capture rates of pregnant and post‐lactating females increased by pathogen establishment. We outline potential mechanisms for these broad demographic changes in E. fuscus capture rates (i.e., increases to foraging from energy deficits created by Pd infection, increases to relative abundance, or changes to reproductive cycles), and suggest future research for identifying mechanisms for increasing capture rates across the eastern US. These data highlight the importance of understanding how populations of persisting host species change following pathogen invasion across a broad spatial scale. Understanding changes to population composition following pathogen invasion can identify broad ecological patterns across space and time, and open new avenues for research to identify drivers of those patterns.

show abstract