Bayesian stable isotope mixing models effectively characterize the diet of an Arctic raptor

Devin Johnson, Michael Henderson, Travis Booms, Cory Williams & David Anderson
1. Bayesian stable isotope mixing models (BSIMMs) for δ13C and δ15N can be a useful tool to reconstruct diets, characterize trophic relationships, and assess spatiotemporal variation in food webs. However, use of this approach typically requires a priori knowledge on the level of enrichment occurring between the diet and tissue of the consumer being sampled (i.e., a trophic discrimination factor or TDF). 2. TDFs derived from captive feeding studies are highly variable, and it is...
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These counts follow the COUNTER Code of Practice, meaning that Internet robots and repeats within a certain time frame are excluded.
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