ArticlePeerJ2015
Bayesian estimation of predator diet composition from fatty acids and stable isotopes.
Article in PeerJ, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Tracing Blue Carbon Flows Across Diverse Seascapes.Global change biology · 2025Article
- Assessing the influence of blubber stratification on the estimation of diet in phocid seals using the MixSIAR model.Scientific reports · 2025Article
- The influence of season, hunting mode, and habitat specialization on riparian spiders as key predators in the aquatic-terrestrial linkage.Scientific reports · 2023Article
- Complementary use of stable isotopes and fatty acids for quantitative diet estimation of sympatric predators, the Antarctic pack-ice seals.Oecologia · 2021Article
- Evaluating the performance of the Bayesian mixing tool MixSIAR with fatty acid data for quantitative estimation of diet.Scientific reports · 2020Article
- Comparison of Bayesian and numerical optimization-based diet estimation on herbivorous zooplankton.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020Article
- The critical importance of experimentation in biomarker-based trophic ecology.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020Article
- Dietary fat concentrations influence fatty acid assimilation patterns in Atlantic pollock (Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020Article
- Foraging behaviour of the South American sea lion (Otaria byronia) in two disparate ecosystems assessed through blubber fatty acid analysis.Scientific reports · 2020Article
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Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.