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Modeling Honey Bee Populations

Eusocial honey bee populations (Apis mellifera) employ an age stratification organization of egg, larvae, pupae, hive bees and foraging bees. Understanding the recent decline in honey bee colonies hinges on understanding the factors that impact each of these different age castes. We first perform an...

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Detalles Bibliográficos
Autores principales: Torres, David J., Ricoy, Ulises M., Roybal, Shanae
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4493160/
https://www.ncbi.nlm.nih.gov/pubmed/26148010
http://dx.doi.org/10.1371/journal.pone.0130966
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author Torres, David J.
Ricoy, Ulises M.
Roybal, Shanae
author_facet Torres, David J.
Ricoy, Ulises M.
Roybal, Shanae
author_sort Torres, David J.
collection PubMed
description Eusocial honey bee populations (Apis mellifera) employ an age stratification organization of egg, larvae, pupae, hive bees and foraging bees. Understanding the recent decline in honey bee colonies hinges on understanding the factors that impact each of these different age castes. We first perform an analysis of steady state bee populations given mortality rates within each bee caste and find that the honey bee colony is highly susceptible to hive and pupae mortality rates. Subsequently, we study transient bee population dynamics by building upon the modeling foundation established by Schmickl and Crailsheim and Khoury et al. Our transient model based on differential equations accounts for the effects of pheromones in slowing the maturation of hive bees to foraging bees, the increased mortality of larvae in the absence of sufficient hive bees, and the effects of food scarcity. We also conduct sensitivity studies and show the effects of parameter variations on the colony population.
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spelling pubmed-44931602015-07-15 Modeling Honey Bee Populations Torres, David J. Ricoy, Ulises M. Roybal, Shanae PLoS One Research Article Eusocial honey bee populations (Apis mellifera) employ an age stratification organization of egg, larvae, pupae, hive bees and foraging bees. Understanding the recent decline in honey bee colonies hinges on understanding the factors that impact each of these different age castes. We first perform an analysis of steady state bee populations given mortality rates within each bee caste and find that the honey bee colony is highly susceptible to hive and pupae mortality rates. Subsequently, we study transient bee population dynamics by building upon the modeling foundation established by Schmickl and Crailsheim and Khoury et al. Our transient model based on differential equations accounts for the effects of pheromones in slowing the maturation of hive bees to foraging bees, the increased mortality of larvae in the absence of sufficient hive bees, and the effects of food scarcity. We also conduct sensitivity studies and show the effects of parameter variations on the colony population. Public Library of Science 2015-07-06 /pmc/articles/PMC4493160/ /pubmed/26148010 http://dx.doi.org/10.1371/journal.pone.0130966 Text en © 2015 Torres et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Torres, David J.
Ricoy, Ulises M.
Roybal, Shanae
Modeling Honey Bee Populations
title Modeling Honey Bee Populations
title_full Modeling Honey Bee Populations
title_fullStr Modeling Honey Bee Populations
title_full_unstemmed Modeling Honey Bee Populations
title_short Modeling Honey Bee Populations
title_sort modeling honey bee populations
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4493160/
https://www.ncbi.nlm.nih.gov/pubmed/26148010
http://dx.doi.org/10.1371/journal.pone.0130966
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