title: Bitrophic interactions shape biodiversity in space.
abstract: Ecologists and conservation biologists often study particular trophic groups in isolation, which precludes an explicit assessment of the impact of multitrophic interactions on community structure and dynamics. Network ecology helps to fill this gap by focusing on species interactions, but it often ignores spatial processes. Here, we are taking a step forward in the integration of metacommunity and network approaches by studying a model of bitrophic interactions in a spatial context. We quantify the effect of bitrophic interactions on the diversity of plants and their animal interactors, and we show their complex dependence on the structure of the interaction network, the strength of interactions, and the dispersal rate. We then develop a method to parameterize our model with real-world networks and apply it to 54 datasets describing three types of interactions: pollination, fungal association, and insect herbivory. In all three network types, bitrophic interactions generally lead to an increase of plant and animal spatial heterogeneity by decreasing local species richness while increasing β-diversity.
authors.affiliation: Laboratoire d'Ingénierie pour les Systèmes Complexes,  Institut National de Recherche en Sciences et Technologies pour l'Environnement et l'Agriculture, 63172 Aubière,  France.
authors.forename: Franck
authors.initials: F
authors.lastname: Jabot
authors.forename: Jordi
authors.initials: J
authors.lastname: Bascompte
mesh_terms: D000465:Algorithms; D000818:Animals; D001499:Bayes Theorem; D044822:Biodiversity; D001695:Biology / Q000379:methods*; D003198:Computer Simulation; D003247:Conservation of Natural Resources; D004463:Ecology; D017753:Ecosystem; D020387:Food Chain; D005658:Fungi / Q000378:metabolism; D060434:Herbivory; D007313:Insecta; D008954:Models, Biological; D015233:Models, Statistical; D010944:Plants; D011157:Population Dynamics