interactions in an unprecedented and highly detailed manner.Keywords: COI, diet analysis, feeding links, morphology, omnivory, predatory fish, prey species, resolution, stomach contents, trophic interactions
IntroductionThe dynamics and functioning of whole ecosystems depend intimately on the transfer of energy and nutrients. Feeding interactions are the primary vector for the transfer of energy and nutrients in ecosystems, and consequently play a major role in both dictating the structure and dynamics of communities and determining wholeecosystem responses to natural and human-induced perturbations [1]. Despite the fundamental need to identify feeding interactions, empirical food webs-descriptions of feeding interactions in an ecosystem (Table 1)-have historically been poorly resolved and constructed using a variety of methodologies [2]. Nonetheless, empirical food webs have been exhaustively analyzed in an effort to identify universal structural patterns [3]. The poor quality of food-web data has raised questions about how both the resolution and methods used to construct food webs influence perception of food-web structure (nonrandom patterns in food webs, Table 1) within and across ecosystems [3,4,5].Not surprisingly, food-web resolution can affect inferences about various food-web properties [5,6,7], threatening the meaningful documentation of empirical food webs. For example, food web resolution impacts numerous patterns in the topology of food webs thought to relate to their stability, including food-chain length (Table 1) Abstract: Food webs are important in understanding the structure, function, and behaviour of ecosystems, but, due to methodological limitations, are often poorly resolved in ways that impact food-web properties. Although DNA barcoding has proven useful in determining the diet of consumers, few studies have used this technique to determine food-web structure. These studies report mixed impacts on various food-web properties, but are limited by their taxonomic focus and their failure to evaluate DNA barcoding for both diet analysis and food-web structure. In this study, we show that, when compared to a morphological approach, DNA barcoding increases foodweb resolution by increasing the number and frequency of prey species identified in the stomach contents of eight species of Canadian boreal shield predatory fishes. In addition, we observed differences in food-web structure, such as increased generalism, habitat coupling, and omnivory, that have strong implications for food-web stability and dynamics. We conclude that DNA barcoding is a powerful tool to evaluate how resolution impacts foodweb properties and can help further our understanding of how food webs are structured by identifying feeding