Bayesian estimation of predator diet composition from fatty acids and stable isotopes

Dragonfly Science, Wellington, New Zealand
Institute of Marine and Coastal Science, Rutgers University, New Brunswick, New Jersey, USA
DOI
10.7287/peerj.preprints.413v2
Subject Areas
Aquaculture, Fisheries and Fish Science, Bioinformatics, Conservation Biology, Ecology
Keywords
Stable isotope analysis, quantitative fatty acid analysis, Bayesian mixing model, QFASA, fatty acid signature, diet analysis, dietary marker
Copyright
© 2014 Neubauer et al.
Licence
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ PrePrints) and either DOI or URL of the article must be cited.
Cite this article
Neubauer P, Jensen OP. 2014. Bayesian estimation of predator diet composition from fatty acids and stable isotopes. PeerJ PrePrints 2:e413v2

Abstract

Quantitative analysis of stable isotopes (SI) and, more recently, fatty acid profiles (FAP) are useful and complementary tools for estimating the relative contribution of different prey items in the diet of a predator. The combination of these two approaches, however, has thus far been limited and qualitative. We propose a mixing model for FAP that follows the Bayesian machinery employed in state-of-the-art mixing models for SI. This framework provides both point estimates and probability distributions for individual and population level diet proportions. Where fat content and conversion coefficients are available, they can be used to improve diet estimates. This model can be explicitly integrated with analogous models for SI to increase resolution and clarify predator-prey relationships. We apply our model to simulated data and an experimental dataset that allows us to illustrate modeling strategies and demonstrate model performance. Our methods are provided as an open source software package for the statistical computing environment R.

Author Comment

Small typo and changing the acronym for fatty acid profiles from FAP to FA for fatty acids.

Supplemental Information

Supplemental information S1: Simulations to demonstrate feasibility and and sensitivity

DOI: 10.7287/peerj.preprints.413v2/supp-1

Supplemental information S2: Investigating model sensitivities

DOI: 10.7287/peerj.preprints.413v2/supp-2

Supplemental information S3: Selecting fatty acids using constrained ordination

DOI: 10.7287/peerj.preprints.413v2/supp-3

Supplemental information S4: Discrimination and conversion coefficients for the Squid example

DOI: 10.7287/peerj.preprints.413v2/supp-4

Supplemental information S5: Analysing Squid diets from fatty acids and stable isotopes

DOI: 10.7287/peerj.preprints.413v2/supp-5