Modeling the Honey Bee Nest Site Selection Process

Parthasarathy Srinivasan

Modeling the Honey Bee Nest Site Selection Process

Parthasarathy Srinivasan

Mathematics and Statistics

Research output: Contribution to conference › Paper

Abstract

The process by which honey bees choose their nesting site is more or less a democratic one. We present models that describe the fascinating process. If the swarm has just one site to choose from, the viability of the site is based on its quality, and we show the analogy between our model and epidemic models. When the swarm has two sites to choose from, there are some interesting dynamics that depend on the quality of the sites, as well as their discovery times.

Original language	English
State	Published - 2016
Event	Web Presentation to the FDA Division of Risk and Decision Analysis - Online Duration: Jan 1 2016 → …

Conference

Conference	Web Presentation to the FDA Division of Risk and Decision Analysis
Period	01/1/16 → …

Cite this

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title = "Modeling the Honey Bee Nest Site Selection Process",

abstract = "The process by which honey bees choose their nesting site is more or less a democratic one. We present models that describe the fascinating process. If the swarm has just one site to choose from, the viability of the site is based on its quality, and we show the analogy between our model and epidemic models. When the swarm has two sites to choose from, there are some interesting dynamics that depend on the quality of the sites, as well as their discovery times.",

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AB - The process by which honey bees choose their nesting site is more or less a democratic one. We present models that describe the fascinating process. If the swarm has just one site to choose from, the viability of the site is based on its quality, and we show the analogy between our model and epidemic models. When the swarm has two sites to choose from, there are some interesting dynamics that depend on the quality of the sites, as well as their discovery times.

M3 - Paper

T2 - Web Presentation to the FDA Division of Risk and Decision Analysis

Y2 - 1 January 2016

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