
We construct a mathematical model considering the populations of multiple predators and one prey, with herd defense by the prey modelled by modifying the law of mass action with a single parameter. This modification introduces a novel bifurcation in the case where all the predators are specialists. When some predators may be generalists, the analysis is more complicated and we consider only the case of two predators of which one or two may be generalists. In this case, novel steady states occur via saddlenode bifurcation, and in some cases the coexistence steady state exhibits Hopf bifurcation to a stable limit cycle. We show that the phenomenon of finite time extinction of prey also occurs in this context. Finally, we extend the analysis from constant herding effect to a model where predator pressure increases the strength of herding.
Dynamical systems; Herd behavior; Populations; Predator-prey; Animals; Ecosystem; Models, Theoretical; Population Dynamics; Models, Biological; Predatory Behavior, Predatory Behavior, Population Dynamics, Animals, Models, Theoretical, Models, Biological, Ecosystem
Dynamical systems; Herd behavior; Populations; Predator-prey; Animals; Ecosystem; Models, Theoretical; Population Dynamics; Models, Biological; Predatory Behavior, Predatory Behavior, Population Dynamics, Animals, Models, Theoretical, Models, Biological, Ecosystem
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
