In Silico Bees

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ABPV
adaptive role allocation
Africanized Honey Bees
Age Group_Uncategorized
Age Group_Uncategorized
Agent Based Modeling
Apis bee
Apis Mellifera Mellifera
automatic-update
B01=James Devillers
bee ecology
Bee Population
Bee Products
bee research
bee-hawking hornet
biological systems
Black Queen Cell Virus
Brood Cells
Brood Zone
Category1=Non-Fiction
Category=PNR
Category=PST
Category=PSVT7
Category=RNCB
Category=UYM
collective decision making
computational bee population analysis
computational modeling
COP=United States
Delivery_Delivery within 10-20 working days
disease transmission models
ecological modeling
Ecotoxicology
eq_bestseller
eq_computing
eq_isMigrated=0
eq_isMigrated=2
eq_nobargain
eq_non-fiction
External Test Set
Feral Honey Bees
Foraging Habitat
hive contamination
Hive Entrance
Honey Bee Colonies
Honey Bee Colony
honey bee ecology
honey bee forager
Honey Bee Foraging
honey bee societies
Honey Bees
infectious disease modeling
Language_English
Non-Apis bee
Ode
PA=Available
Pattern Formation Mechanisms
pesticide impact
pesticide toxicity
Pollinating activity
pollinator decline
Population dynamics
Price_€100 and above
PS=Active
pyriproxyfen
QSAR Model
QSAR modeling
RFID Tag
self-organization
Silico bees
softlaunch
Solitary Bees
urban landscape ecology
Varroa Mites
Vespa Velutina
Winter Bees

Product details

  • ISBN 9781466517875
  • Weight: 582g
  • Dimensions: 156 x 234mm
  • Publication Date: 27 Jan 2014
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
  • Language: English
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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.

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).