Literature DB >> 29674784

Bat wing biometrics: using collagen-elastin bundles in bat wings as a unique individual identifier.

Sybill K Amelon1, Sarah E Hooper2, Kathryn M Womack3.   

Abstract

The ability to recognize individuals within an animal population is fundamental to conservation and management. Identification of individual bats has relied on artificial marking techniques that may negatively affect the survival and alter the behavior of individuals. Biometric systems use biological characteristics to identify individuals. The field of animal biometrics has expanded to include recognition of individuals based upon various morphologies and phenotypic variations including pelage patterns, tail flukes, and whisker arrangement. Biometric systems use 4 biologic measurement criteria: universality, distinctiveness, permanence, and collectability. Additionally, the system should not violate assumptions of capture-recapture methods that include no increased mortality or alterations of behavior. We evaluated whether individual bats could be uniquely identified based upon the collagen-elastin bundles that are visible with gross examination of their wings. We examined little brown bats (Myotis lucifugus), northern long-eared bats (M. septentrionalis), big brown bats (Eptesicus fuscus), and tricolored bats (Perimyotis subflavus) to determine whether the "wing prints" from the bundle network would satisfy the biologic measurement criteria. We evaluated 1,212 photographs from 230 individual bats comparing week 0 photos with those taken at weeks 3 or 6 and were able to confirm identity of individuals over time. Two blinded evaluators were able to successfully match 170 individuals in hand to photographs taken at weeks 0, 3, and 6. This study suggests that bats can be successfully re-identified using photographs taken at previous times. We suggest further evaluation of this methodology for use in a standardized system that can be shared among bat conservationists.

Entities:  

Keywords:  E. fuscus; M. lucifugus; M. septentrionalis; P. subflavus; animal identification; bats; biometrics

Year:  2017        PMID: 29674784      PMCID: PMC5901080          DOI: 10.1093/jmammal/gyx018

Source DB:  PubMed          Journal:  J Mammal        ISSN: 0022-2372            Impact factor:   2.416


  7 in total

1.  Automated species identification: why not?

Authors:  Kevin J Gaston; Mark A O'Neill
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2004-04-29       Impact factor: 6.237

2.  Observations on the vampire bat with special reference to longevity in captivity.

Authors:  H TRAPIDO
Journal:  J Mammal       Date:  1946-08       Impact factor: 2.416

3.  Animal biometrics: quantifying and detecting phenotypic appearance.

Authors:  Hjalmar S Kühl; Tilo Burghardt
Journal:  Trends Ecol Evol       Date:  2013-03-25       Impact factor: 17.712

4.  Nonlethal screening of bat-wing skin with the use of ultraviolet fluorescence to detect lesions indicative of white-nose syndrome.

Authors:  Gregory G Turner; Carol Uphoff Meteyer; Hazel Barton; John F Gumbs; DeeAnn M Reeder; Barrie Overton; Hana Bandouchova; Tomáš Bartonička; Natália Martínková; Jiri Pikula; Jan Zukal; David S Blehert
Journal:  J Wildl Dis       Date:  2014-05-22       Impact factor: 1.535

5.  A collagen and elastic network in the wing of the bat.

Authors:  K A Holbrook; G F Odland
Journal:  J Anat       Date:  1978-05       Impact factor: 2.610

6.  Impact of PIT tagging on recapture rates, body condition and reproductive success of wild Daubenton's bats (Myotis daubentonii).

Authors:  E L Rigby; J Aegerter; M Brash; J D Altringham
Journal:  Vet Rec       Date:  2011-11-16       Impact factor: 2.695

7.  Bat white-nose syndrome: an emerging fungal pathogen?

Authors:  David S Blehert; Alan C Hicks; Melissa Behr; Carol U Meteyer; Brenda M Berlowski-Zier; Elizabeth L Buckles; Jeremy T H Coleman; Scott R Darling; Andrea Gargas; Robyn Niver; Joseph C Okoniewski; Robert J Rudd; Ward B Stone
Journal:  Science       Date:  2008-10-30       Impact factor: 47.728

  7 in total
  1 in total

1.  State dependence of arousal from torpor in brown long-eared bats (Plecotus auritus).

Authors:  Rune Sørås; Mari Aas Fjelldal; Claus Bech; Jeroen van der Kooij; Karoline H Skåra; Katrine Eldegard; Clare Stawski
Journal:  J Comp Physiol B       Date:  2022-08-16       Impact factor: 2.230

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.