Integrating abundance and diet data to improve inferences of food web dynamics

Jake M. Ferguson, John B. Hopkins, Briana H. Witteveen

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Both population abundances and chemical tracers are useful tools for studying consumer-resource interactions. Food web models parameterized with abundances are often used to understand how interactions structure communities and to inform management decisions of complex ecological systems. Unfortunately, collecting abundance data to parameterize these models is often expensive and time-consuming. Another approach is to use chemical tracers to estimate the proportional diets of consumers by relating the tracers in their tissues to those found in their food sources. Although tracer data are often inexpensive to collect, these diet proportions provide little information on the per-capita consumption rates of consumers. Here, we show how coupling these data sources leads to better estimates of consumption rates. Our modelling approach integrates traditional multispecies population abundance models with proportional diet estimates. We used simulations to determine whether integrated food web datasets were more informative than the standard abundance datasets and demonstrated the use of our integrated approach by estimating consumption rates of hump-back whales Megaptera novaeangliae in the western Gulf of Alaska using abundances coupled with stable isotopes as tracers. Our simulations demonstrated that integrated models improved the ability to resolve alternative hypotheses about the functional response and yielded more precise parameter estimates relative to standard food web models. The integrated data approach was especially informative under low sample sizes or high process variance. Our application of the integrated modelling approach to humpback whales indicated that fish averaged about 25% of whale diets, though this proportion declined over the course of the study. We also found that traditional abundance model estimates of humpback whale consumption were non-estimable and that the integrated food web model led to estimable consumption rates. Our results show that integrating stable isotopes and abundance datasets provides an exciting way forward for parameterizing multispecies models in data-limited systems. We expect that future developments of these integrated approaches will extend current food web theory by allowing ecologists to study predation dynamics over seasonal time-scales and at the individual level.

Original languageEnglish
Pages (from-to)1581-1591
Number of pages11
JournalMethods in Ecology and Evolution
Volume9
Issue number6
DOIs
StatePublished - Jun 2018

Bibliographical note

Funding Information:
National Oceanic and Atmospheric Administration, Grant/Award Number: NA10NMF4390123; Division of Biological Infrastructure, Grant/Award Number: 1300426; the National Science Foundation, Grant/Award Number: DBI-1300426; The University of Tennessee, Knoxville; NIMBIOS, Grant/Award Number: DBI-

Funding Information:
The majority of this work was conducted while J.M.F. was a Postdoctoral Fellow at the National Institute for Mathematical and Biological Synthesis (NIMBIOS), an Institute sponsored by the National Science Foundation through NSF Award #DBI-1300426 with additional support from The University of Tennessee, Knoxville. J.B.H. was assisted by attendance as a Short-term Visitor at the NIMBIOS, through NSF Award #DBI-1300426, with additional support from The University of Tennessee, Knoxville. Whale data were collected under NMFS Federal Research Permits #1049-1718 and 14296 and University of Alaska Fair-banks IACUC protocols 140171 and 140169. Funding for whale and prey data collection was provided to the Gulf Apex Predator Prey project by NOAA Grants. We thank an anonymous reviewer and the associate editor for their feedback that improved the manuscript.

Publisher Copyright:
© 2018 The Authors. Methods in Ecology and Evolution © 2018 British Ecological Society

Keywords

  • ecological tracers
  • food web model
  • functional response
  • integrated modelling
  • multispecies modelling
  • nonlinear time series
  • stable isotopes

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Ecological Modeling

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