Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/86052
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Type: Journal article
Title: Estimating niche width using stable isotopes in the face of habitat variability: a modelling case study in the marine environment
Author: Cummings, D.
Buhl, J.
Lee, R.
Simpson, S.
Holmes, S.
Citation: PLoS One, 2012; 7(8):e40539-1-e40539-14
Publisher: Public Library of Science
Issue Date: 2012
ISSN: 1932-6203
1932-6203
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Responsibility: 
David O. Cummings, Jerome Buhl, Raymond W. Lee, Stephen J. Simpson, Sebastian P. Holmes
Abstract: Distributions of stable isotopes have been used to infer an organism's trophic niche width, the ‘isotopic niche’, and examine resource partitioning. Spatial variation in the isotopic composition of prey may however confound the interpretation of isotopic signatures especially when foragers exploit resources across numerous locations. In this study the isotopic compositions from marine assemblages are modelled to determine the role of variation in the signature of prey items and the effect of dietary breadth and foraging strategies on predator signatures. Outputs from the models reveal that isotopic niche widths can be greater for populations of dietary specialists rather than for generalists, which contravenes what is generally accepted in the literature. When a range of different mixing models are applied to determine if the conversion from δ to p-space can be used to improve model accuracy, predator signature variation is increased rather than model precision. Furthermore the mixing models applied failed to correctly identify dietary specialists and/or to accurately estimate diet contributions that may identify resource partitioning. The results presented illustrate the need to collect sufficiently large sample sizes, in excess of what is collected under most current studies, across the complete distribution of a species and its prey, before attempts to use stable isotopes to make inferences about niche width can be made.
Keywords: Animals; Isotopes; Marine Biology; Environment; Ecosystem; Models, Theoretical; Australia
Rights: © Cummings et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
RMID: 0030009508
DOI: 10.1371/journal.pone.0040539
Grant ID: http://purl.org/au-research/grants/arc/LP0775183
Appears in Collections:Agriculture, Food and Wine publications

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