title: Food webs: experts consuming families of experts.
abstract: Food webs of habitats as diverse as lakes or desert valleys are known to exhibit common "food-web patterns", but the detailed mechanisms generating these structures have remained unclear. By employing a stochastic, dynamical model, we show that many aspects of the structure of predatory food webs can be understood as the traces of an evolutionary history where newly evolving species avoid direct competition with their relatives. The tendency to avoid sharing natural enemies (apparent competition) with related species is considerably weaker. Thus, "experts consuming families of experts" can be identified as the main underlying food-web pattern. We report the results of a systematic, quantitative model validation showing that the model is surprisingly accurate.
authors.affiliation: Yokohama National University, Graduate School of Environment and Information Sciences, Yokohama 240-8501, Japan. rossberg@ynu.ac.jp
authors.forename: A G
authors.initials: AG
authors.lastname: Rossberg
authors.forename: H
authors.initials: H
authors.lastname: Matsuda
authors.forename: T
authors.initials: T
authors.lastname: Amemiya
authors.forename: K
authors.initials: K
authors.lastname: Itoh
mesh_terms: D000818:Animals; D005075:Biological Evolution; D020387:Food Chain; D008954:Models, Biological; D011235:Predatory Behavior; D015203:Reproducibility of Results; D013269:Stochastic Processes