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qfasar: quantitative fatty acid signature analysis with R

Methods in Ecology and Evolution

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https://doi.org/10.1111/2041-210X.12740

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Abstract

  1. Knowledge of predator diets provides essential insights into their ecology, yet diet estimation is challenging and remains an active area of research.
  2. Quantitative fatty acid signature analysis (QFASA) is a popular method of estimating diet composition that continues to be investigated and extended. However, software to implement QFASA has only recently become publicly available.
  3. I summarize a new R package, qfasar, for diet estimation using QFASA methods. The package also provides functionality to evaluate and potentially improve the performance of a library of prey signature data, compute goodness-of-fit diagnostics, and support simulation-based research. Several procedures in the package have not previously been published.
  4. qfasar makes traditional and recently published QFASA diet estimation methods accessible to ecologists for the first time. Use of the package is illustrated with signature data from Chukchi Sea polar bears and potential prey species.

Additional publication details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
qfasar: quantitative fatty acid signature analysis with R
Series title:
Methods in Ecology and Evolution
DOI:
10.1111/2041-210X.12740
Volume:
8
Issue:
9
Year Published:
2017
Language:
English
Publisher:
British Ecological Society
Contributing office(s):
Alaska Science Center Biology MFEB
Description:
5 p.
First page:
1158
Last page:
1162