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

• Published in: Methods in Ecology and Evolution
• Main Authors: Ferguson, Jake M., Hopkins, John B., Witteveen, Briana H.
• Other Authors: Kurle, Carolyn, National Oceanic and Atmospheric Administration, Division of Biological Infrastructure, National Science Foundation, University of Tennessee, National Institute for Mathematical and Biological Synthesis
• Format: Article in Journal/Newspaper
• Language: English
• Published: Wiley 2018
• Subjects: Humpback Whale; Megaptera novaeangliae; Alaska
• Online Access: http://dx.doi.org/10.1111/2041-210x.13001; https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2F2041-210X.13001; https://onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.13001; https://onlinelibrary.wiley.com/doi/full-xml/10.1111/2041-210X.13001; https://besjournals.onlinelibrary.wiley.com/doi/am-pdf/10.1111/2041-210X.13001; https://besjournals.onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.13001

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 ...