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About this book
About this book
Integrating the immense, but scattered, published data with contributions from preeminent active researchers, this book presents the most up-to-date information on foraging ecology, individual search and social recruitment behaviors, and theoretical models of foraging and food exploitation among ants, bees, and wasps alike. It employs mathematical models to map coordinate processes and unites traditional studies with theoretical approaches. By cross referencing information between chapters and concluding with a final synthesis chapter, the authors ensure a complete understanding of the interrelationship between various disciplines regarding foraging and food exploitation in social insects.
Introduction. FORAGING DECISIONS, PATTERNS, AND STRATEGIES. Individual behavior and collective foraging. Resource dependent foraging strategies in social wasps. Foraging range and the spatial distribution of worker bumblebees. Social context and adaptive foraging strategies in ants. Season-dependent foraging patterns in a neotropical forest-dwelling ant, Pachycondya striata. Measuring the adaptiveness of social insect foraging strategies -- an empirical approach. INFORMATION USE AND INFORMATION TRANSFER. How to tell your mates -- costs and benefits of different recruitment mechanisms. Social insects as models of social learning systems. Local enhancement and eavesdropping -- the parasitism of social insect communication. Spatial information processing and navigation in foraging honey bees. The role of scents in honeybee foraging and recruitment. Trophallaxis - a mechanism of information transfer. Activating the foraging force -- mechanical signals in stingless bee recruitment. Chemical communication during food exploitation in stingless bees. The use of scent-marks by foraging bumblebees. Information transfer and the organization of foraging in grass -- and leaf-cutting ants. MODELING SOCIAL INSECT FORAGING. Modeling the foraging of insect societies. Evolutionary simulation of pheromone communication in ant foraging. Mathematical and neural network models of medium range navigation during social insect foraging.
University of Ulm, Germany University Sao Paulo, Ribeiro Preto, Brazil