title: Explaining the effects of floral density on flower visitor species composition.
abstract: Floral density often influences the species composition of flower visitors. This variation in visitor species composition could have significant effects on pollination success and plant fitness but is poorly understood, especially in the many pollination guilds dominated by nonterritorial species. This article presents a foraging model that explores how flower visitors with diverse traits should distribute themselves across resource patches differing in floral density. The model predicts that species with low flower search speeds and low flower handling costs compared to those of competitors will usually dominate dense flower patches. In addition, among flower visitors that have lower energy expenditure rates while handling flowers than while traveling, species maximizing energetic efficiency are typically associated with dense flower patches, whereas those maximizing net rate of energy intake are associated with sparse patches. The model is able to predict some key aspects of a previously observed effect of floral density on species composition of flower visitors to the yellowflower tarweed (Holocarpha virgata). By providing insights into how flower visitors' traits shape the effects of floral density on the species composition of flower visitors, this study makes an important step towards understanding how pollinator diversity influences relationships between plant density and plant fitness.
authors: Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ 85721, USA. carla.essenberg@gmail.com
authors: Carla J
authors: CJ
authors: Essenberg
mesh_terms: D000818:Animals; D001070:Appetitive Behavior / Q000502:physiology*; D019659:Asteraceae / Q000502:physiology*; D001516:Bees / Q000502:physiology*; D003198:Computer Simulation; D004734:Energy Metabolism / Q000502:physiology; D035264:Flowers / Q000502:physiology*; D008954:Models, Biological; D054817:Pollination / Q000502:physiology*; D013045:Species Specificity