scholarly journals Global redistribution and local migration in semi-discrete host–parasitoid population dynamic models

2020 ◽  
Vol 327 ◽  
pp. 108409 ◽  
Author(s):  
Brooks Emerick ◽  
Abhyudai Singh ◽  
Safal Raut Chhetri
2012 ◽  
Vol 35 (4) ◽  
pp. 245-262 ◽  
Author(s):  
Krist Vaesen

AbstractIn my response to the commentaries from a collection of esteemed researchers, I reassess and eventually find largely intact my claim that human tool use evidences higher social and non-social cognitive ability. Nonetheless, I concede that my examination of individual-level cognitive traits does not offer a full explanation of cumulative culture yet. For that, one needs to incorporate them into population-dynamic models of cultural evolution. I briefly describe my current and future work on this.


1998 ◽  
Vol 01 (02n03) ◽  
pp. 181-202 ◽  
Author(s):  
D. E. Postnov ◽  
A. G. Balanov ◽  
E. Mosekilde

The paper applies continuation methods to examine fundFigureamental features of the complex dynamics that can arise in a cascaded system of population dynamic models. The individual model describes a bacterial population interacting with a population of viruses that attack the cells and exploit their reproductive system for their own replication. Coupling between the subsystems is brought about through a unidirectional flow of primary resources. In this way the individual subsystem is modulated by the varying nutrient concentration in the overflow from the upstream habitat. Synchronization of a single subsystem to an external periodic forcing exhibits an unusual bifurcation structure with global bifurcations appearing already at the lowest forcing amplitudes. This peculiarity is also observed for autonomous systems of two and three coupled habitats. Finally, local and global synchronization phenomena are investigated for a chain of 20 coupled population pools.


2017 ◽  
Vol 12 (6) ◽  
pp. 171-191
Author(s):  
Ahmed Noussair

Through two case studies, this paper deals with a new class of population dynamic models inspired from the kinetic theory for active particles modelling cell to cell interactions with a transfer processes between cells. The first case study problem is related to the transfer of proteins motivated by advantages of cell transfer therapies for the treatment of cancers. The second case concerns the activity transfer between immune and tumor cells. We provide some numerical tests and we prove the convergence of the solutions from the discrete model to the continuous model.


1992 ◽  
Vol 26 (2) ◽  
pp. 135-145 ◽  
Author(s):  
Dimitrios S. Dendrinos ◽  
J. Barkley Rosser

Author(s):  
Brooks Emerick ◽  
Abhyudai Singh

ABSTRACTHost-parasitoid population dynamics is often probed using a semi-discrete/hybrid modeling framework. Here, the update functions in the discrete-time model connecting year-to-year changes in the population densities are obtained by solving ordinary differential equations that mechanistically describe interactions when hosts become vulnerable to parasitoid attacks. We use this semi-discrete formalism to study two key spatial effects: local movement (migration) of parasitoids between patches during the vulnerable period; and yearly redistribution of populations across patches outside the vulnerable period. Our results show that in the absence of any redistribution, constant density-independent migration and parasitoid attack rates are unable to stabilize an otherwise unstable host-parasitoid population dynamics. Interestingly, inclusion of host redistribution (but not parasitoid redistribution) before the start of the vulnerable period can lead to stable coexistence of both species. Next, we consider a Type-III functional response (parasitoid attack rate increases with host density), where the absence of any spatial effects leads to a neutrally stable host-parasitoid equilibrium. As before, density-independent parasitoid migration by itself is again insufficient to stabilize the population dynamics and host redistribution provides a stabilizing influence. Finally, we show that a Type-III functional response combined with density-dependent parasitoid migration leads to stable coexistence, even in the absence of population redistributions. In summary, we have systematically characterized parameter regimes leading to stable/unstable population dynamics with different forms of spatial heterogeneity coupled to the parasitoid’s functional response using mechanistically formulated semi-discrete models.


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