TY - JOUR
T1 - Population dynamics of Varroa mite and honeybee
T2 - Effects of parasitism with age structure and seasonality
AU - Messan, Komi
AU - Messan Rodriguez, Marisabel
AU - Chen, Jun
AU - DeGrandi-Hoffman, Gloria
AU - Kang, Yun
N1 - Funding Information:
This research is partially supported by NSF-DMS (Award Number 1716802 ); NSF- IOS/DMS (Award Number 1558127 ) and The James S. McDonnell Foundation 21st Century Science Initiative in Studying Complex Systems Scholar Award (UHC Scholar Award 220020472 ). The research of K.M is also partially supported by the Department of Education GAANN (P200A120192). G.DH is partially supported by USDA-Areawide Research Grant.
Publisher Copyright:
© 2020
PY - 2021/1/15
Y1 - 2021/1/15
N2 - Honeybees play an important role in the production of many agricultural crops and in sustaining plant diversity in undisturbed ecosystems. The rapid decline of honeybee populations have sparked great concern worldwide. Field and theoretical studies have shown that the parasitic Varroa mite (Varroa destructor Anderson and Trueman) could be the main reason for colony losses. In order to understand how mites affect population dynamics of honeybees and the health of a colony, we propose a brood-adult bee-mite interaction model in which the time lag from brood to adult bee is taken into account. Noting that the temporal dynamics of a honeybee colony varies with respect to season, we validate the model and perform parameter estimations under both constant and fluctuating seasonality scenarios. Our analytical and numerical studies reveal the following: (a) In the presence of parasite mites, the large time lag from brood to adult bee could destabilize population dynamics and drive the colony to collapse; however the small natural mortality of the adult bee population can promote a mite-free colony when time lag is small or at an intermediate level; (b) Small brood’ infestation rates could stabilize all populations at the unique interior equilibrium under constant seasonality while may drive the mite population to die out when seasonality is taken into account; (c) High brood’ infestation rates can destabilize the colony dynamics leading to population collapse depending on initial population size under constant and seasonal conditions; (d) Results from our sensitivity analysis indicate that the queen's egg-laying may have the greatest effect on colony population size.The death rate of the brood and the colony size at which brood survivability is the half maximal were also shown to be highly sensitive with an inverse correlation to the colony population size. Our results provide insights on the effects of seasonality on the dynamics. For example, mites may die out leaving a healthy colony with brood and adult bees in the presence of seasonality while the colony collapses without seasonality.
AB - Honeybees play an important role in the production of many agricultural crops and in sustaining plant diversity in undisturbed ecosystems. The rapid decline of honeybee populations have sparked great concern worldwide. Field and theoretical studies have shown that the parasitic Varroa mite (Varroa destructor Anderson and Trueman) could be the main reason for colony losses. In order to understand how mites affect population dynamics of honeybees and the health of a colony, we propose a brood-adult bee-mite interaction model in which the time lag from brood to adult bee is taken into account. Noting that the temporal dynamics of a honeybee colony varies with respect to season, we validate the model and perform parameter estimations under both constant and fluctuating seasonality scenarios. Our analytical and numerical studies reveal the following: (a) In the presence of parasite mites, the large time lag from brood to adult bee could destabilize population dynamics and drive the colony to collapse; however the small natural mortality of the adult bee population can promote a mite-free colony when time lag is small or at an intermediate level; (b) Small brood’ infestation rates could stabilize all populations at the unique interior equilibrium under constant seasonality while may drive the mite population to die out when seasonality is taken into account; (c) High brood’ infestation rates can destabilize the colony dynamics leading to population collapse depending on initial population size under constant and seasonal conditions; (d) Results from our sensitivity analysis indicate that the queen's egg-laying may have the greatest effect on colony population size.The death rate of the brood and the colony size at which brood survivability is the half maximal were also shown to be highly sensitive with an inverse correlation to the colony population size. Our results provide insights on the effects of seasonality on the dynamics. For example, mites may die out leaving a healthy colony with brood and adult bees in the presence of seasonality while the colony collapses without seasonality.
KW - Colony loss
KW - Delay differential equations
KW - Honeybee
KW - Seasonality
KW - Varroa mite
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U2 - 10.1016/j.ecolmodel.2020.109359
DO - 10.1016/j.ecolmodel.2020.109359
M3 - Article
AN - SCOPUS:85096688021
SN - 0304-3800
VL - 440
JO - Ecological Modelling
JF - Ecological Modelling
M1 - 109359
ER -