TY - JOUR
T1 - Nutritional regulation influencing colony dynamics and task allocations in social insect colonies
AU - Rao, Feng
AU - Rodriguez Messan, Marisabel
AU - Marquez, Angelica
AU - Smith, Nathan
AU - Kang, Yun
N1 - Funding Information:
This research of F.R. is partially supported by the National Science Foundation of China [grant numbers 11601226, 11426132 and 71871115], Qing Lan Project of Jiangsu Province, the Natural Science Foundation of Jiangsu Province of China [grant number BK20140927], and the research funds from Nanjing Tech University and Jiangsu Government Scholarship for Overseas Studies. The work of Y.K. is also partially supported by NSF-DMS [grant numbers 1313312 and 1716802]; NSF-IOS/DMS [grant number 1558127], DARPA–SBIR 2016.2 SB162-005 Phase II, and UHC Scholar Award 220020472.
Publisher Copyright:
© 2020, © 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
PY - 2020
Y1 - 2020
N2 - In this paper, we use an adaptive modeling framework to model and study how nutritional status (measured by the protein to carbohydrate ratio) may regulate population dynamics and foraging task allocation of social insect colonies. Mathematical analysis of our model shows that both investment to brood rearing and brood nutrition are important for colony survival and dynamics. When division of labour and/or nutrition are in an intermediate value range, the model undergoes a backward bifurcation and creates multiple attractors due to bistability. This bistability implies that there is a threshold population size required for colony survival. When the investment in brood is large enough or nutritional requirements are less strict, the colony tends to survive, otherwise the colony faces collapse. Our model suggests that the needs of colony survival are shaped by the brood survival probability, which requires good nutritional status. As a consequence, better nutritional status can lead to a better survival rate of larvae and thus a larger worker population.
AB - In this paper, we use an adaptive modeling framework to model and study how nutritional status (measured by the protein to carbohydrate ratio) may regulate population dynamics and foraging task allocation of social insect colonies. Mathematical analysis of our model shows that both investment to brood rearing and brood nutrition are important for colony survival and dynamics. When division of labour and/or nutrition are in an intermediate value range, the model undergoes a backward bifurcation and creates multiple attractors due to bistability. This bistability implies that there is a threshold population size required for colony survival. When the investment in brood is large enough or nutritional requirements are less strict, the colony tends to survive, otherwise the colony faces collapse. Our model suggests that the needs of colony survival are shaped by the brood survival probability, which requires good nutritional status. As a consequence, better nutritional status can lead to a better survival rate of larvae and thus a larger worker population.
KW - Social insects
KW - adaptive modeling
KW - backward bifurcation
KW - bistability dynamics
KW - foraging activities
KW - nutritional regulation
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U2 - 10.1080/17513758.2020.1786859
DO - 10.1080/17513758.2020.1786859
M3 - Article
C2 - 32633212
AN - SCOPUS:85087636425
SN - 1751-3758
SP - 1
EP - 27
JO - Journal of Biological Dynamics
JF - Journal of Biological Dynamics
ER -