Journal
AUK
Volume 126, Issue 1, Pages 165-174Publisher
AMER ORNITHOLOGISTS UNION
DOI: 10.1525/auk.2009.07187
Keywords
2:1 chloroform:methanol; carbon-13; deuterium; nitrogen-15; stable-isotope ratios; standard cleaning method
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Funding
- National Science Foundation Graduate Research Fellowship
- George M. Sutton Scholarship in Ornithology
- University of Oklahoma.
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Stable-isotope analysis of feathers is an increasingly important source of information on diet and movement of birds. Feathers are typically cleaned with a solvent before analysis, but the effects of this cleaning on the resulting data have not been examined critically. We conducted an experiment to determine whether a cleaning regime affected hydrogen (delta D)), carbon (delta(13)C), and nitrogen (delta(15)N) stable-isotope ratios in feathers of Japanese Quail (Coturnix japonica). A paired design was used to clean feathers with 2:1 chloroform: methanol or detergent. Results after initial cleaning indicated enrichment of hydrogen by similar to 40 parts per thousand in feathers treated with 2:1 chloroform: methanol-treated compared with other treatments but no correlation between treatments. We found a similar pattern among treatments for carbon, but the effect was on the order of 0.2 parts per thousand. Nitrogen values showed no discernible correlation, but both uncleaned and 2:1 chloroform: methanol treatments had enriched values, on average, compared with detergent treatments. Further, variance among samples was high for hydrogen and nitrogen measurements. After recleaning with alternate treatments, differences in mean hydrogen-isotope ratios were no longer evident, data for hydrogen and carbon became less variable, and carbon maintained its initial pattern. We suggest a standard method of cleaning feathers, first with a dilute detergent solution, then with 2:1 chloroform: methanol solvent. This study has implications for increasing repeatability of hydrogen, carbon, and nitrogen stable-isotope measurements, which would increase the validity of inter-laboratory comparisons and the utility of large-scale projects using compiled data sets. Received 9 November 2007, accepted 29 September 2008,
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