RESUMEN
Controlled feeding studies have been useful in assessing the relationship between isotope values from dietary sources and consumer tissues. We report the organic oxygen and hydrogen values of animal tissue from a porcine controlled dietary study. A complex mixture of fractionation and incorporation is revealed. In both deltaD and delta(18)O, differences in the absolute values and the amount of variation between and within consumer tissue are documented. Significant differences in deltaD and delta(18)O are observed between protein sources such as keratin and collagen.
Asunto(s)
Alimentación Animal , Hidrógeno/metabolismo , Compuestos Orgánicos/química , Oxígeno/metabolismo , Porcinos , Tejido Adiposo/química , Animales , Análisis Químico de la Sangre , Cromatografía de Gases , Colágeno Tipo I/química , Deuterio/análisis , Cabello/química , Hidrógeno/análisis , Espectrometría de Masas , Músculo Esquelético/química , Oxígeno/análisis , Isótopos de Oxígeno/análisisRESUMEN
We used feathers of known origin collected from across the breeding range of a migratory shorebird to test the use of isotope tracers for assigning breeding origins. We analyzed deltaD, delta13C, and delta15N in feathers from 75 mountain plover (Charadrius montanus) chicks sampled in 2001 and from 119 chicks sampled in 2002. We estimated parameters for continuous-response inverse regression models and for discrete-response Bayesian probability models from data for each year independently. We evaluated model predictions with both the training data and by using the alternate year as an independent test dataset. Our results provide weak support for modeling latitude and isotope values as monotonic functions of one another, especially when data are pooled over known sources of variation such as sample year or location. We were unable to make even qualitative statements, such as north versus south, about the likely origin of birds using both deltaD and delta13C in inverse regression models; results were no better than random assignment. Probability models provided better results and a more natural framework for the problem. Correct assignment rates were highest when considering all three isotopes in the probability framework, but the use of even a single isotope was better than random assignment. The method appears relatively robust to temporal effects and is most sensitive to the isotope discrimination gradients over which samples are taken. We offer that the problem of using isotope tracers to infer geographic origin is best framed as one of assignment, rather than prediction.
