314 pages | 11 Color Illus. | 88 B/W Illus.
Bees are critically important for ecosystem function and biodiversity maintenance through their pollinating activity. Unfortunately, bee populations are faced with many threats, and evidence of a massive global pollination crisis is steadily growing. As a result, there is a need to understand and, ideally, predict how bees respond to pollution disturbance, to the changes over landscape gradients, and how their responses can vary in different habitats, which are influenced to different degrees by human activities.
Modeling approaches are useful to simulate the behavior of whole population dynamics as well as to focus on important phenomena detrimental to bee-life history traits. They also allow simulation of how a disease or a pesticide can impact the survival and growth of a bee population. In Silico Bees provides a collection of computational methods to those primarily interested in the study of the ecology, ethology, and ecotoxicology of bees. The book presents different cases studies to enable readers to understand the significance and also the limitations of models in theoretical and applied bee research.
The text covers modeling of honey bee society organization, infectious diseases in colonies, pesticide toxicity, chemical contamination of the hive, and more. Written by an international team of scientists, this book is of primary interest to those whose research or professional activity is directly concerned with the study of bees. It is also intended to provide graduate and post-graduate students with a clear and accessible text covering the main types of modeling approaches that can be used in terrestrial ecology and ecotoxicology.
Automatic Systems for Capturing the Normal and Abnormal Behaviors of Honey Bees
James Devillers and Hugo Devillers
Computational Modeling of Organization in Honey Bee Societies Based on Adaptive Role Allocation
Mark Hoogendoorn, Martijn C. Schut, and Jan Treur
Illustrating the Contrasting Roles of Self-Organization in Biological Systems with Two Case Histories of Collective Decision Making in the Honey Bee
Brian R. Johnson
Models for the Recruitment and Allocation of Honey Bee Foragers
Mary R. Myerscough, James R. Edwards, and Timothy M. Schaerf
Infectious Disease Modeling for Honey Bee Colonies
Hermann J. Eberl, Peter G. Kevan, and Vardayani Ratti
Honeybee Ecology from an Urban Landscape Perspective: The Spatial Ecology of Feral Honey Bees
Kristen A. Baum, Maria D. Tchakerian, Andrew G. Birt, and Robert N. Coulson
QSAR Modeling of Pesticide Toxicity to Bees
Mathematical Models for the Comprehension of Chemical Contamination into the Hive
Paolo Tremolada and Marco Vighi
Agent-Based Modeling of the Long-Term Effects of Pyriproxyfen on Honey Bee Population
James Devillers, Hugo Devillers, Axel Decourtye, Julie Fourrier, Pierrick Aupinel, and Dominique Fortini
Simulation of Solitary (non-Apis)Bees Competing for Pollen
Jeroen Everaars and Carsten F. Dormann
Estimating the Potential Range Expansion and Environmental Impact of the Invasive Bee-Hawking Hornet, Vespa velutina nigrithorax
Claire Villemant, Franck Muller, Quentin Rome, Adrien Perrard, Morgane Barbet-Massin, and Frédéric Jiguet