Multiple stability and maximum stability in a model population

Using a modular demographic model this work attempts to mechanistically explain how multistability levels might occur, to explain how a population might move from one level to another, and to investigate the combination of forces which leads to maximum stability within a local stability range. The work showed that unique stability levels for single populations are created by unique combinations of rates such as birth, natural mortality, emigration, immigration, and interference, and that because these rates depend upon factors such as climate and resource availability, stability levels constantly change and arc constantly chased by the population. The simulations also showed that, as rates changed, stable and unstable equilibrium points approached and met one another causing the population to shift from one stability level to another. The work also suggested that there was an inverse relationship between the numerical stability of the population and the number of feedback forces influencing its demographi...