title: Experimentally derived δ¹³C and δ¹⁵N discrimination factors for gray wolves and the impact of prior information in Bayesian mixing models.
abstract: Stable isotope analysis of diet has become a common tool in conservation research. However, the multiple sources of uncertainty inherent in this analysis framework involve consequences that have not been thoroughly addressed. Uncertainty arises from the choice of trophic discrimination factors, and for Bayesian stable isotope mixing models (SIMMs), the specification of prior information; the combined effect of these aspects has not been explicitly tested. We used a captive feeding study of gray wolves (Canis lupus) to determine the first experimentally-derived trophic discrimination factors of C and N for this large carnivore of broad conservation interest. Using the estimated diet in our controlled system and data from a published study on wild wolves and their prey in Montana, USA, we then investigated the simultaneous effect of discrimination factors and prior information on diet reconstruction with Bayesian SIMMs. Discrimination factors for gray wolves and their prey were 1.97‰ for δ13C and 3.04‰ for δ15N. Specifying wolf discrimination factors, as opposed to the commonly used red fox (Vulpes vulpes) factors, made little practical difference to estimates of wolf diet, but prior information had a strong effect on bias, precision, and accuracy of posterior estimates. Without specifying prior information in our Bayesian SIMM, it was not possible to produce SIMM posteriors statistically similar to the estimated diet in our controlled study or the diet of wild wolves. Our study demonstrates the critical effect of prior information on estimates of animal diets using Bayesian SIMMs, and suggests species-specific trophic discrimination factors are of secondary importance. When using stable isotope analysis to inform conservation decisions researchers should understand the limits of their data. It may be difficult to obtain useful information from SIMMs if informative priors are omitted and species-specific discrimination factors are unavailable.
authors: School of Natural Resources and the Environment, University of Arizona, Tucson, Arizona, United States of America.
authors: Jonathan J
authors: JJ
authors: Derbridge
authors: Jerod A. Merkle, Département de Biologie and Centre d'Étude de la Forêt, Université Laval, Québec, Canada.
authors: Jerod A
authors: JA
authors: Merkle
authors: Boone and Crockett Program in Wildlife Conservation, Wildlife Biology Program, University of Montana, Missoula, Montana, United States of America.
authors: Melanie E
authors: ME
authors: Bucci
authors: Wildlife Science Center, Forest Lake, Minnesota, United States of America.
authors: Peggy
authors: P
authors: Callahan
authors: School of Natural Resources and the Environment, University of Arizona, Tucson, Arizona, United States of America.
authors: John L
authors: JL
authors: Koprowski
authors: Natural Resources Institute, University of Manitoba, Winnipeg, Manitoba, Canada.
authors: Jean L
authors: JL
authors: Polfus
authors: Boone and Crockett Program in Wildlife Conservation, Wildlife Biology Program, University of Montana, Missoula, Montana, United States of America.
authors: Paul R
authors: PR
authors: Krausman
mesh_terms: D000818:Animals; D001499:Bayes Theorem; D002247:Carbon Isotopes / Q000032:analysis; D004032:Diet; D009587:Nitrogen Isotopes / Q000032:analysis; D019596:Wolves
chemical_list: D002247:Carbon Isotopes; D009587:Nitrogen Isotopes