A Fatty Acid Based Bayesian Approach for Inferring Diet in Aquatic Consumers

@inproceedings{Galloway2015AFA,
  title={A Fatty Acid Based Bayesian Approach for Inferring Diet in Aquatic Consumers},
  author={Aaron W E Galloway and Michael T. Brett and G W Holtgrieve and Eric J. Ward and Ashley P Ballantyne and Carolyn W. Burns and Martin J Kainz and Doerthe C. M{\"u}ller-Navarra and Jonas Persson and Joseph L. Ravet and Ursula Strandberg and Sami Johan Taipale and Gunnel Alhgren and Douglas A Campbell},
  booktitle={PloS one},
  year={2015}
}
We modified the stable isotope mixing model MixSIR to infer primary producer contributions to consumer diets based on their fatty acid composition. To parameterize the algorithm, we generated a 'consumer-resource library' of FA signatures of Daphnia fed different algal diets, using 34 feeding trials representing diverse phytoplankton lineages. This library corresponds to the resource or producer file in classic Bayesian mixing models such as MixSIR or SIAR. Because this library is based on the… CONTINUE READING
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