Modelling food and population dynamics in honey bee colonies.
Honey bees (Apis mellifera) are increasingly in demand as pollinators for various key agricultural food crops, but globally honey bee populations are in decline, and honey bee colony failure rates have increased. This scenario highlights a need to understand the conditions in which colonies flourish...
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oai:doaj.org-article:c68da48c16a14d58888f63638b246c822021-11-18T07:46:45ZModelling food and population dynamics in honey bee colonies.1932-620310.1371/journal.pone.0059084https://doaj.org/article/c68da48c16a14d58888f63638b246c822013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23667418/?tool=EBIhttps://doaj.org/toc/1932-6203Honey bees (Apis mellifera) are increasingly in demand as pollinators for various key agricultural food crops, but globally honey bee populations are in decline, and honey bee colony failure rates have increased. This scenario highlights a need to understand the conditions in which colonies flourish and in which colonies fail. To aid this investigation we present a compartment model of bee population dynamics to explore how food availability and bee death rates interact to determine colony growth and development. Our model uses simple differential equations to represent the transitions of eggs laid by the queen to brood, then hive bees and finally forager bees, and the process of social inhibition that regulates the rate at which hive bees begin to forage. We assume that food availability can influence both the number of brood successfully reared to adulthood and the rate at which bees transition from hive duties to foraging. The model predicts complex interactions between food availability and forager death rates in shaping colony fate. Low death rates and high food availability results in stable bee populations at equilibrium (with population size strongly determined by forager death rate) but consistently increasing food reserves. At higher death rates food stores in a colony settle at a finite equilibrium reflecting the balance of food collection and food use. When forager death rates exceed a critical threshold the colony fails but residual food remains. Our model presents a simple mathematical framework for exploring the interactions of food and forager mortality on colony fate, and provides the mathematical basis for more involved simulation models of hive performance.David S KhouryAndrew B BarronMary R MyerscoughPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 5, p e59084 (2013) |
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Medicine R Science Q David S Khoury Andrew B Barron Mary R Myerscough Modelling food and population dynamics in honey bee colonies. |
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Honey bees (Apis mellifera) are increasingly in demand as pollinators for various key agricultural food crops, but globally honey bee populations are in decline, and honey bee colony failure rates have increased. This scenario highlights a need to understand the conditions in which colonies flourish and in which colonies fail. To aid this investigation we present a compartment model of bee population dynamics to explore how food availability and bee death rates interact to determine colony growth and development. Our model uses simple differential equations to represent the transitions of eggs laid by the queen to brood, then hive bees and finally forager bees, and the process of social inhibition that regulates the rate at which hive bees begin to forage. We assume that food availability can influence both the number of brood successfully reared to adulthood and the rate at which bees transition from hive duties to foraging. The model predicts complex interactions between food availability and forager death rates in shaping colony fate. Low death rates and high food availability results in stable bee populations at equilibrium (with population size strongly determined by forager death rate) but consistently increasing food reserves. At higher death rates food stores in a colony settle at a finite equilibrium reflecting the balance of food collection and food use. When forager death rates exceed a critical threshold the colony fails but residual food remains. Our model presents a simple mathematical framework for exploring the interactions of food and forager mortality on colony fate, and provides the mathematical basis for more involved simulation models of hive performance. |
format |
article |
author |
David S Khoury Andrew B Barron Mary R Myerscough |
author_facet |
David S Khoury Andrew B Barron Mary R Myerscough |
author_sort |
David S Khoury |
title |
Modelling food and population dynamics in honey bee colonies. |
title_short |
Modelling food and population dynamics in honey bee colonies. |
title_full |
Modelling food and population dynamics in honey bee colonies. |
title_fullStr |
Modelling food and population dynamics in honey bee colonies. |
title_full_unstemmed |
Modelling food and population dynamics in honey bee colonies. |
title_sort |
modelling food and population dynamics in honey bee colonies. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2013 |
url |
https://doaj.org/article/c68da48c16a14d58888f63638b246c82 |
work_keys_str_mv |
AT davidskhoury modellingfoodandpopulationdynamicsinhoneybeecolonies AT andrewbbarron modellingfoodandpopulationdynamicsinhoneybeecolonies AT maryrmyerscough modellingfoodandpopulationdynamicsinhoneybeecolonies |
_version_ |
1718423000399740928 |