In Silico Bees: 1st Edition (Paperback) book cover

In Silico Bees

1st Edition

Edited by James Devillers

CRC Press

314 pages | 11 Color Illus. | 88 B/W Illus.

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Description

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.

Table of Contents

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

James Devillers

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

About the Editor

James Devillers has authored/edited 15 books and published more than 200 peer-reviewed papers and book chapters in QSAR and (eco)toxicology modeling. He is editor-in-chief of the journal SAR and QSAR in Environmental Research (Taylor & Francis) and editor of the series of books QSAR in Environmental and Health Sciences (CRC Press). James Devillers is also a member of the editorial boards of Ecological Modelling (Elsevier), Xenobiotica (Taylor & Francis), Current Bioactive Compounds (Bentham Science), and Toxics (MDPI AG).

Subject Categories

BISAC Subject Codes/Headings:
NAT010000
NATURE / Ecology
SCI008000
SCIENCE / Life Sciences / Biology / General
SCI013050
SCIENCE / Chemistry / Physical & Theoretical
SCI025000
SCIENCE / Life Sciences / Zoology / Entomology