TY - JOUR
T1 - Recruitment dynamics of social insect colonies
AU - Feng, Tao
AU - Qiu, Zhipeng
AU - Kang, Yun
N1 - Funding Information: \ast Received by the editors April 20, 2020; accepted for publication (in revised form) May 18, 2021; published electronically August 4, 2021. https://doi.org/10.1137/20M1332384 Funding: This work was supported by the NSF through grants DMS-716802 and DMS-1558127, by DARPA-SBIR 2016.2 SB162-005, and by the James S. McDonnell Foundation 21st Century Science Initiative in Studying Complex Systems Scholar Award (UHC Scholar Award 220020472). The work of the first author was partially supported by the Outstanding Chinese and Foreign Youth Exchange Program of China Association of Science and Technology and by the Scholarship Foundation of China Scholarship Council (award 201806840120). The work of the second author was supported by the National Natural Science Foundation of China through grants 12071217 and 11671206. Publisher Copyright: © 2021 Society for Industrial and Applied Mathematics.
PY - 2021
Y1 - 2021
N2 - Recruitment plays a vital role in the ecological and evolutionary successes of social insect colonies. In this paper, we formulate a four-compartment model and its simplified version to explore how we should model the recruitment dynamics of workers in social insect colonies properly. Our four-compartment model has the components of the unalarmed patrollers, the alarmed patrollers, the alarmed recruiters, and the available workers, while its simplified version has three components where we combine the unalarmed patrollers and the alarmed patrollers into the patrollers. We perform complete mathematical and bifurcation analyses on both the full system and its simplified system. We have many interesting findings, including that (i) the simplified three-compartment system has only simple equilibrium dynamics, i.e., no periodic and chaotic dynamics; (ii) the four-compartment system has very complex dynamics; for example, it can have up to three subcritical Hopf bifurcations, two supercritical Hopf bifurcations, two limit point bifurcations, and a fold bifurcation of the limit cycle. Those important results provide theoretical guidance for modeling and studying recruitment dynamics of social insect colonies: It is critical to have proper compartments for biological systems as the number of compartments could lead to totally different dynamics, and hence affect policy-making.
AB - Recruitment plays a vital role in the ecological and evolutionary successes of social insect colonies. In this paper, we formulate a four-compartment model and its simplified version to explore how we should model the recruitment dynamics of workers in social insect colonies properly. Our four-compartment model has the components of the unalarmed patrollers, the alarmed patrollers, the alarmed recruiters, and the available workers, while its simplified version has three components where we combine the unalarmed patrollers and the alarmed patrollers into the patrollers. We perform complete mathematical and bifurcation analyses on both the full system and its simplified system. We have many interesting findings, including that (i) the simplified three-compartment system has only simple equilibrium dynamics, i.e., no periodic and chaotic dynamics; (ii) the four-compartment system has very complex dynamics; for example, it can have up to three subcritical Hopf bifurcations, two supercritical Hopf bifurcations, two limit point bifurcations, and a fold bifurcation of the limit cycle. Those important results provide theoretical guidance for modeling and studying recruitment dynamics of social insect colonies: It is critical to have proper compartments for biological systems as the number of compartments could lead to totally different dynamics, and hence affect policy-making.
KW - Colony density
KW - Fold bifurcation of the limit cycle
KW - Limit point bifurcations
KW - Periodic solutions
KW - Recruitment dynamics
KW - Social insects
KW - Subcritical Hopf bifurcations
KW - Supercritical Hopf bifurcations
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U2 - 10.1137/20M1332384
DO - 10.1137/20M1332384
M3 - Article
SN - 0036-1399
VL - 81
SP - 1579
EP - 1599
JO - SIAM Journal on Applied Mathematics
JF - SIAM Journal on Applied Mathematics
IS - 4
ER -