TY - JOUR
T1 - Multiscale analysis of compartment models with dispersal
AU - Kang, Yun
AU - Castillo-Chavez, Carlos
N1 - Funding Information: The research of CCC is partially supported by the grant number 1R01GM100471-01 from the National Institute of General Medical Sciences (NIGMS) at the National Institutes of Health and partially supported by the grant number U54GM088558 from NIGMS to Marc Lipsitch and the Center for Communicable Disease Dynamics. The research of YK is partially supported by Simons Collaboration Grants for Mathematicians (208902). We thank Nicolas Lanchier for his great help in generating figures and his insights on the stochastic models. We also thank the referee for comments that have improved this article greatly.
PY - 2012/9
Y1 - 2012/9
N2 - The characterization of the population dynamics of animal populations and dispersal provides the underlying setting of this article. Novel results emerge from our exploration of the role of disease in this context. We focus on the study of the impact of dispersal on the dynamics of populations that account for (a) induced Allee effects; (b) disease dynamics; and (c) spatial heterogeneity, using deterministic and stochastic models. Specifically, the models incorporate disease-driven effects on the individuals' competitive ability to acquire resources as well as on their ability to move or reproduce. The results bring to the forefront the role of initial conditions and patch quality as well as 'topological' structure or connectivity landscape structure (the physical space where individuals move, reproduce, get sick, die, or compete for resources). The emphasis is placed on the dynamics of populations when disease is an important selective force. This article surveys the appropriate literature while including original research.
AB - The characterization of the population dynamics of animal populations and dispersal provides the underlying setting of this article. Novel results emerge from our exploration of the role of disease in this context. We focus on the study of the impact of dispersal on the dynamics of populations that account for (a) induced Allee effects; (b) disease dynamics; and (c) spatial heterogeneity, using deterministic and stochastic models. Specifically, the models incorporate disease-driven effects on the individuals' competitive ability to acquire resources as well as on their ability to move or reproduce. The results bring to the forefront the role of initial conditions and patch quality as well as 'topological' structure or connectivity landscape structure (the physical space where individuals move, reproduce, get sick, die, or compete for resources). The emphasis is placed on the dynamics of populations when disease is an important selective force. This article surveys the appropriate literature while including original research.
KW - Allee effects
KW - bifurcation
KW - catastrophe
KW - competition
KW - conservation biology
KW - epidemics
KW - infectious disease
KW - mathematical biology
KW - metapopulation model
KW - multiple interior equilibria
KW - reproductive fitness
KW - sustainability
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U2 - 10.1080/17513758.2012.713125
DO - 10.1080/17513758.2012.713125
M3 - Article
C2 - 22934939
SN - 1751-3758
VL - 6
SP - 50
EP - 79
JO - Journal of biological dynamics
JF - Journal of biological dynamics
IS - SUPPL.2
ER -