Fersiynau electronig

Dangosydd eitem ddigidol (DOI)

  • E.S. Bridge
  • J.F. Kelly
  • X.M. Xiao
  • N. Batbayar
  • T. Natsagdorj
  • N.J. Hill
  • J.Y. Takekawa
  • L.A. Hawkes
  • C.M. Bishop
  • P.J. Butler
  • S.H. Newman
Population connectivity is an important consideration in studies of disease transmission and biological conservation, especially with regard to migratory species. Determining how and when different subpopulations intermingle during different phases of the annual cycle can help identify important geographical regions or features as targets for conservation efforts and can help inform our understanding of continental-scale disease transmission. In this study, stable isotopes of hydrogen and carbon in contour feathers were used to assess the degree of molt-site fidelity among Bar-headed Geese (Anser indicus) captured in north-central Mongolia. Samples were collected from actively molting Bar-headed Geese (n = 61), and some individual samples included both a newly grown feather (still in sheath) and an old, worn feather from the bird's previous molt (n = 21). Although there was no difference in mean hydrogen isotope ratios for the old and new feathers, the isotopic variance in old feathers was approximately three times higher than that of the new feathers, which suggests that these birds use different and geographically distant molting locations from year to year. To further test this conclusion, online data and modeling tools from the isoMAP website were used to generate probability landscapes for the origin of each feather. Likely molting locations were much more widespread for old feathers than for new feathers, which supports the prospect of low molt-site fidelity. This finding indicates that population connectivity would be greater than expected based on data from a single annual cycle, and that disease spread can be rapid even in areas like Mongolia where Bar-headed Geese generally breed in small isolated groups.
Iaith wreiddiolSaesneg
Tudalennau (o-i)123-132
CyfnodolynWaterbirds
Cyfrol38
Rhif y cyfnodolyn2
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 1 Meh 2015
Gweld graff cysylltiadau