Estimating δ15N fractionation and adjusting the lipid correction equation using Southern African freshwater fishes
File(s)Taylor et al.pdf (2.05 MB)
Published version
Author(s)
Taylor, Geraldine C
Hill, Jaclyn M
Jackson, Michelle C
Peel, Richard A
Weyl, Olaf LF
Type
Journal Article
Abstract
Stable isotope analysis is an important tool for characterising food web structure; however, interpretation of isotope data can often be flawed. For instance, lipid normalisation and trophic fractionation values are often assumed to be constant, but can vary considerably between ecosystems, species and tissues. Here, previously determined lipid normalisation equations and trophic fractionation values were re-evaluated using freshwater fish species from three rivers in the Upper Zambezian floodplain ecoregion in southern Africa. The parameters commonly used in lipid normalisation equations were not correct for the 18 model species (new D and I parameters were estimated as D = 4.46‰ [95% CI: 2.62, 4.85] and constant I = 0 [95% CI: 0, 0.17]). We suggest that future isotopic analyses on freshwater fishes use our new values if the species under consideration do not have a high lipid content in their white muscle tissue. Nitrogen fractionation values varied between species and river basin; however, the average value closely matched that calculated in previous studies on other species (δ15N fractionation factor of 3.37 ± 1.30 ‰). Here we have highlighted the need to treat stable isotope data correctly in food web studies to avoid misinterpretation of the data.
Editor(s)
Doi, Hideyuki
Date Issued
2017-05-24
Date Acceptance
2017-05-07
Citation
PLoS One, 2017, 12 (5)
ISSN
1932-6203
Publisher
Public Library of Science (PLoS)
Journal / Book Title
PLoS One
Volume
12
Issue
5
Copyright Statement
© 2017 Taylor 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.
Subjects
MD Multidisciplinary
General Science & Technology
Publication Status
Published
Article Number
e0178047
Date Publish Online
2017-05-24