DOI: 10.5061/dryad.m26h2
title: Data from: Consequences of plant invasions on compartmentalization and species’ roles in plant–pollinator networks

description: Compartmentalization—the organization of ecological interaction networks
 into subsets of species that do not interact with other subsets (true
 compartments) or interact more frequently among themselves than with other
 species (modules)—has been identified as a key property for the
 functioning, stability and evolution of ecological communities. Invasions
 by entomophilous invasive plants may profoundly alter the way interaction
 networks are compartmentalized. We analysed a comprehensive dataset of 40
 paired plant–pollinator networks (invaded versus uninvaded) to test this
 hypothesis. We show that invasive plants have higher generalization levels
 with respect to their pollinators than natives. The consequences for
 network topology are that—rather than displacing native species from the
 network—plant invaders attracting pollinators into invaded modules tend to
 play new important topological roles (i.e. network hubs, module hubs and
 connectors) and cause role shifts in native species, creating larger
 modules that are more connected among each other. While the number of true
 compartments was lower in invaded compared with uninvaded networks, the
 effect of invasion on modularity was contingent on the study system.
 Interestingly, the generalization level of the invasive plants partially
 explains this pattern, with more generalized invaders contributing to a
 lower modularity. Our findings indicate that the altered interaction
 structure of invaded networks makes them more robust against simulated
 random secondary species extinctions, but more vulnerable when the
 typically highly connected invasive plants go extinct first. The
 consequences and pathways by which biological invasions alter the
 interaction structure of plant–pollinator communities highlighted in this
 study may have important dynamical and functional implications, for
 example, by influencing multi-species reciprocal selection regimes and
 coevolutionary processes.
description: Data1 Network
 LevelData1 Network Level
 contains data for the analysis of effects of exlpanatory variables on
 network properties at the network level. Detailed information about the
 compiled datasets and the statistical analysis is given in the Methods
 section of the article. For further information please contact:
 matthias.albrecht@agroscope.admin.chData2 Module
 LevelData2 Module Level
 contains data for the analysis of effects of exlpanatory variables on
 dependent variables at the module level. Detailed information about the
 compiled datasets and the statistical analysis is given in the Methods
 section of the article. For further information please contact:
 matthias.albrecht@agroscope.admin.chData3 Species
 LevelData3 Species Level
 contains data for the analysis of role shifts and effects of explanatory
 variables on dependent variables at the node (=species level). Detailed
 information about the compiled datasets and the statistical analysis is
 given in the Methods section of the article. For further information
 please contact: matthias.albrecht@agroscope.admin.ch