Abstract
ABSTRACT While conducting mist net surveys for the federally endangered Indiana bat (Myotis sodalis) in West Virginia, New York, and Pennsylvania, we quantified wing damage on 422 bats of four species: big brown (Eptesicus fuscus, N = 190), eastern red (Lasiurus borealis, N = 82), little brown (M. lucifugus, N = 55), and northern myotis (M. septentrionalis, N = 95) bats. From 15 May – 15 August 2010, we photographed back-lit wings to reveal damage such as scars, holes, and blotching (non-uniform pigmentation). After quantifying the percent cover of these damage types using image-analysis software, we used generalized non-linear mixed models to determine if percent area of damage differed among scores associated with the categorical wing damage index (WDI) developed by Reichard and Kunz (2009). Although quantified damage did generally increase with WDI score across all species, statistical separation by WDI was only documented for the big brown bat (blotching, scars, blotching + scars combined) and northern myotis (blotching, blotching + scars). We suggest that studies like ours can provide quantitative species-specific datasets that can be examined in a more precise manner than a categorical index.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.