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The honey bee is critically important for ecosystem function and biodiversity maintenance through its pollinating activity. In Silico Bees provides a collection of computational methods to those primarily interested in the study of the ecology, ethology, and ecotoxicology of bees. Avoiding mathematical jargon, it presents numerous case studies to enable readers to understand the appropriateness but also the limitations of models in theoretical and applied bee research.
Written by an international team of experts, In Silico Bees covers the main types of modeling approaches that can be used in terrestrial ecology and applied ecotoxicology.
Models on Bees: For What? For Whom?
The Honey Bee Colony as a Model of Collective Intelligence
Modeling Self-Organizing Processes within a Realistic Biological Context Using the Honey Bee
Computational Modeling of Adaptive Role Allocation in Honey Bee Societies
Honey Bee Ecology from A Landscape Perspective: The Spatial Ecology of Honey Bees
BEECLINE: A Honey Bee Model Integrating Hive Dynamics and Foraging in Dynamic Landscapes
Discrimination and Choice in the Honey Bee Nest-Site Selection Process
Using Gene Duplications to Root Trees for Bees
Use of Multivariate Analyses for Quality and Pollution Control of Honey and Other Bee Products
QSAR Modeling of the Acute Toxicity of Pesticides on Apis and Non-Apis Bees
Agent-Based Modeling of the Toxicity of Juvenile Hormone Analogues to Apis Mellifera L.
Comprehension of the Contamination and Vulnerability of Bees by Means of Simple and Time-Resolved Mathematical Models
Modeling the Flight Activity of Honey Bees Equipped with RFID Microchips
Modeling the Infestation of a Honey Bee Colony by the Parasitic Varroa Mites (Varroa destructor)
A Composite Indicator for Estimating the Hazard and Risk of Pesticides to Bees Based on Multicriteria Analysis
Estimating Potential Range Expansion and Environmental Impact of the Invasive Bee Hawking Hornet, Vespa Velutina Nigrithorax
The Other Bees: A Simulation Model for Pollen Collecting Solitary Bees