title: Evaluating multiple determinants of the structure of plant-animal mutualistic networks.
abstract: The structure of mutualistic networks is likely to result from the simultaneous influence of neutrality and the constraints imposed by complementarity in species phenotypes, phenologies, spatial distributions, phylogenetic relationships, and sampling artifacts. We develop a conceptual and methodological framework to evaluate the relative contributions of these potential determinants. Applying this approach to the analysis of a plant-pollinator network, we show that information on relative abundance and phenology suffices to predict several aggregate network properties (connectance, nestedness, interaction evenness, and interaction asymmetry). However, such information falls short of predicting the detailed network structure (the frequency of pairwise interactions), leaving a large amount of variation unexplained. Taken together, our results suggest that both relative species abundance and complementarity in spatiotemporal distribution contribute substantially to generate observed network patters, but that this information is by no means sufficient to predict the occurrence and frequency of pairwise interactions. Future studies could use our methodological framework to evaluate the generality of our findings in a representative sample of study systems with contrasting ecological conditions.
authors.affiliation: Instituto Argentino de Investigaciones de las Zonas Aridas, CONICET, CC 507, 5500 Mendoza, Argentina. dvazquez@mendoza-conicet.gov.ar
authors.forename: Diego P
authors.initials: DP
authors.lastname: Vázquez
authors.forename: Natacha P
authors.initials: NP
authors.lastname: Chacoff
authors.forename: Luciano
authors.initials: L
authors.lastname: Cagnolo
mesh_terms: D000222:Adaptation, Physiological; D000818:Animals; D003889:Desert Climate; D017753:Ecosystem; D007313:Insecta / Q000235:genetics / Q000502:physiology*; D010802:Phylogeny; D010944:Plants / Q000235:genetics / Q000378:metabolism*; D054817:Pollination; D011157:Population Dynamics; D013559:Symbiosis