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A Quantitative Model of Honey Bee Colony Population Dynamics

Since 2006 the rate of honey bee colony failure has increased significantly. As an aid to testing hypotheses for the causes of colony failure we have developed a compartment model of honey bee colony population dynamics to explore the impact of different death rates of forager bees on colony growth...

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Detalles Bibliográficos
Autores principales: Khoury, David S., Myerscough, Mary R., Barron, Andrew B.
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3078911/
https://www.ncbi.nlm.nih.gov/pubmed/21533156
http://dx.doi.org/10.1371/journal.pone.0018491
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author Khoury, David S.
Myerscough, Mary R.
Barron, Andrew B.
author_facet Khoury, David S.
Myerscough, Mary R.
Barron, Andrew B.
author_sort Khoury, David S.
collection PubMed
description Since 2006 the rate of honey bee colony failure has increased significantly. As an aid to testing hypotheses for the causes of colony failure we have developed a compartment model of honey bee colony population dynamics to explore the impact of different death rates of forager bees on colony growth and development. The model predicts a critical threshold forager death rate beneath which colonies regulate a stable population size. If death rates are sustained higher than this threshold rapid population decline is predicted and colony failure is inevitable. The model also predicts that high forager death rates draw hive bees into the foraging population at much younger ages than normal, which acts to accelerate colony failure. The model suggests that colony failure can be understood in terms of observed principles of honey bee population dynamics, and provides a theoretical framework for experimental investigation of the problem.
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spelling pubmed-30789112011-04-29 A Quantitative Model of Honey Bee Colony Population Dynamics Khoury, David S. Myerscough, Mary R. Barron, Andrew B. PLoS One Research Article Since 2006 the rate of honey bee colony failure has increased significantly. As an aid to testing hypotheses for the causes of colony failure we have developed a compartment model of honey bee colony population dynamics to explore the impact of different death rates of forager bees on colony growth and development. The model predicts a critical threshold forager death rate beneath which colonies regulate a stable population size. If death rates are sustained higher than this threshold rapid population decline is predicted and colony failure is inevitable. The model also predicts that high forager death rates draw hive bees into the foraging population at much younger ages than normal, which acts to accelerate colony failure. The model suggests that colony failure can be understood in terms of observed principles of honey bee population dynamics, and provides a theoretical framework for experimental investigation of the problem. Public Library of Science 2011-04-18 /pmc/articles/PMC3078911/ /pubmed/21533156 http://dx.doi.org/10.1371/journal.pone.0018491 Text en Khoury 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
Khoury, David S.
Myerscough, Mary R.
Barron, Andrew B.
A Quantitative Model of Honey Bee Colony Population Dynamics
title A Quantitative Model of Honey Bee Colony Population Dynamics
title_full A Quantitative Model of Honey Bee Colony Population Dynamics
title_fullStr A Quantitative Model of Honey Bee Colony Population Dynamics
title_full_unstemmed A Quantitative Model of Honey Bee Colony Population Dynamics
title_short A Quantitative Model of Honey Bee Colony Population Dynamics
title_sort quantitative model of honey bee colony population dynamics
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3078911/
https://www.ncbi.nlm.nih.gov/pubmed/21533156
http://dx.doi.org/10.1371/journal.pone.0018491
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