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Modeling Honey Bee Populations.

Torres DJ, Ricoy UM, Roybal S - PLoS ONE (2015)

Bottom Line: Understanding the recent decline in honey bee colonies hinges on understanding the factors that impact each of these different age castes.Subsequently, we study transient bee population dynamics by building upon the modeling foundation established by Schmickl and Crailsheim and Khoury et al.We also conduct sensitivity studies and show the effects of parameter variations on the colony population.

View Article: PubMed Central - PubMed

Affiliation: Department of Mathematics and Physical Science, Northern New Mexico College, Espanola, NM, USA.

ABSTRACT
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.

No MeSH data available.


Related in: MedlinePlus

Sensitivity study with different levels of α.
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pone.0130966.g013: Sensitivity study with different levels of α.

Mentions: The first study varies the parameter α in Eq (9) which regulates the impact of insufficient nurse bees on the larvae population. Fig 13 shows the effect of the parameter α in a one year simulation of a bee colony. We observe that too large an α = 1 can cause the colony to fail and large values of α = .4 can have a noticeable negative impact. Recall that large α values produce higher larvae mortality rates in the absence of sufficient nurse bees.


Modeling Honey Bee Populations.

Torres DJ, Ricoy UM, Roybal S - PLoS ONE (2015)

Sensitivity study with different levels of α.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4493160&req=5

pone.0130966.g013: Sensitivity study with different levels of α.
Mentions: The first study varies the parameter α in Eq (9) which regulates the impact of insufficient nurse bees on the larvae population. Fig 13 shows the effect of the parameter α in a one year simulation of a bee colony. We observe that too large an α = 1 can cause the colony to fail and large values of α = .4 can have a noticeable negative impact. Recall that large α values produce higher larvae mortality rates in the absence of sufficient nurse bees.

Bottom Line: Understanding the recent decline in honey bee colonies hinges on understanding the factors that impact each of these different age castes.Subsequently, we study transient bee population dynamics by building upon the modeling foundation established by Schmickl and Crailsheim and Khoury et al.We also conduct sensitivity studies and show the effects of parameter variations on the colony population.

View Article: PubMed Central - PubMed

Affiliation: Department of Mathematics and Physical Science, Northern New Mexico College, Espanola, NM, USA.

ABSTRACT
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.

No MeSH data available.


Related in: MedlinePlus