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  • Arthropod food webs predict...
    Van De Walle, Ruben; Logghe, Garben; Haas, Nina; Massol, François; Vandegehuchte, Martijn L.; Bonte, Dries

    The Journal of animal ecology, April 2023, Letnik: 92, Številka: 4
    Journal Article

    Trophic interactions are often deduced from body size differences, assuming that predators prefer prey smaller than themselves because larger prey are more difficult to subdue. This has mainly been confirmed in aquatic ecosystems, but rarely in terrestrial ecosystems, especially in arthropods. Our goal was to validate whether body size ratios can predict trophic interactions in a terrestrial, plant‐associated arthropod community and whether predator hunting strategy and prey taxonomy could explain additional variation. We conducted feeding trials with arthropods from marram grass in coastal dunes to test whether two individuals, of the same or different species, would predate each other. From the trial results, we constructed one of the most complete, empirically derived food webs for terrestrial arthropods associated with a single plant species. We contrasted this empirical food web with a theoretical web based on body size ratios, activity period, microhabitat, and expert knowledge. In our feeding trials, predator–prey interactions were indeed largely size‐based. Moreover, the theoretical and empirically based food webs converged well for both predator and prey species. However, predator hunting strategy, and especially prey taxonomy improved predictions of predation. Well‐defended taxa, such as hard‐bodied beetles, were less frequently consumed than expected based on their body size. For instance, a beetle of average size (measuring 4 mm) is 38% less vulnerable than another average arthropod with the same length. Body size ratios predict trophic interactions among plant‐associated arthropods fairly well. However, traits such as hunting strategy and anti‐predator defences can explain why certain trophic interactions do not adhere to size‐based rules. Feeding trials can generate insights into multiple traits underlying real‐life trophic interactions among arthropods. This study is one of the first to investigate trophic interactions in a natural aboveground arthropod community. An accurate depiction of natural food web structure and ecosystem functioning is especially vital to predict the future destabilizing effects of the rapid decline in arthropod numbers.