Distinguishing migratory and resident Canada geese using stable isotope analysis

Citation
Df. Caccamise et al., Distinguishing migratory and resident Canada geese using stable isotope analysis, J WILDL MAN, 64(4), 2000, pp. 1084-1091
Citations number
24
Categorie Soggetti
Animal Sciences
Journal title
JOURNAL OF WILDLIFE MANAGEMENT
ISSN journal
0022541X → ACNP
Volume
64
Issue
4
Year of publication
2000
Pages
1084 - 1091
Database
ISI
SICI code
0022-541X(200010)64:4<1084:DMARCG>2.0.ZU;2-8
Abstract
Effective management of Canada geese (Branta canadensis) requires a reliabl e method to determine the population affiliation of geese in the harvest. W e determined if stable isotope analysis of feather tissue could distinguish between migrant and resident populations. We obtained feather samples of m igrants from Atlantic population of Canada geese in northern Quebec near Un gava Bay, Canada. We grouped resident population Canada geese as coastal re sidents and inland residents according to the habitats where they were capt ured in New Jersey. We analyzed for isotopes of carbon (delta C-13), nitrog en (delta N-15), and sulfur (delta S-34). We found significant differences among migrants, coastal residents, and inland resident for all 3 isotopes. Combinations of isotopic ratios for the 3 elements resulted in unique patte rns among groups of geese. We entered the isotopic ratios into a discrimina nt analysis using collection site as the grouping variable (migrants, inlan d residents, and coastal residents). We formed 2 significant functions that discriminated among the 3 groups 92% of the time. The first function accou nted for most of the variance, and was highly influenced by the isotope rat ios for carbon and sulfur. The results indicate that stable isotope analysi s of primary feathers can provide a reliable means to discriminate between migratory and resident populations of Canada geese. Stable isotope analysis is a promising technique for identifying the breeding areas of Canada gees e, but additional studies are needed to determine inherent variability over broad geographic areas.