Related Experiment Video
Updated: Mar 31, 2026

A Video Surveillance System to Monitor Breeding Colonies of Common Terns Sterna Hirundo
Published on: July 22, 2018
Isotopic Discrimination in the Double-Crested Cormorant (Phalacrocorax auritus)
Elizabeth C Craig1, Brian S Dorr2, Katie C Hanson-Dorr2
1Field of Zoology and Wildlife Conservation, Cornell University, Ithaca, New York, United States of America.
Abstract:
The diet-tissue discrimination factor is the amount by which a consumer's tissue varies isotopically from its diet, and is therefore a key element in models that use stable isotopes to estimate diet composition. In this study we measured discrimination factors in blood (whole blood, red blood cells and plasma), liver, muscle and feathers of Double-crested Cormorants (Phalacrocorax auritus) for stable isotope ratios of carbon, nitrogen and sulfur. Cormorants exhibited discrimination factors that differed significantly among tissue types (for carbon and nitrogen), and differed substantially (in the context of the isotopic variation among relevant prey species) from those observed in congeneric species. The Double-crested Cormorant has undergone rapid population expansion throughout much of its historic range over the past three decades, leading to both real and perceived conflicts with fisheries throughout North America, and this study provides an essential link for the use of stable isotope analysis in researching foraging ecology, diet, and resource use of this widespread and controversial species.
More Related Videos
Related Concept Videos
Mass Spectrometry: Isotope Effect
¹³C NMR: ¹H–¹³C Decoupling
A broadband decoupling technique is used to simplify these complex, sometimes overlapping, signals. Broadband decoupling relies on a...
Optimal Foraging
Types of Selection
Isotopes
An element's atomic mass, or weight,...
Testing a Claim about Mean: Unknown Population SD
Estimating a population mean requires the samples to be approximately normally distributed. The data should be collected from the randomly selected samples having no sampling bias. There is no specific requirement for sample size. But if the sample size is less than 30, and we don't know the population standard deviation, a different approach is used;...

