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The use of statistical procedures and computer models based on data obtained from the field provide insights into population interactions and ecosystem functions.
What cause such phenomenon is a purpose to model population interactions [9, 23].
The government also has to consider how the pattern of population interactions might stimulate or inhibit the implementation of early childhood education programs.
On the one hand, more realistic and interesting models of population interactions should take the effects of time delay into account [6 8], such as their maturation time.
A convection diffusion model for wildfire ignition potential is developed by grouping the anthropogenic factors as "global" and "local" variables, where city or population interactions are global variables and the transportation corridors are local variables.
In order to consider periodic variations of the environment and the density regulation of the predators though taking into account delay effect and diffusion between patches, more realistic and interesting models of population interactions should take into account comprehensively other than one or two aspects.
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In bifurcation problems, Buchanan [4] has studied Turing instability in a pioneer/climax population interaction model.
In Cox regression analysis of the overall population, interaction term obstructive CAD × DM resulted in non-significance.
As depicted in Fig. 1, the factors influencing wildfire ignition potential are grouped as "global" (population interaction) and "local" (parameters of transportation corridors) variables.
The ignition potential due to population interaction is modeled using gravity model following Sadasivuni et al. (2013) as below: ϕ P o p = α P D 2 (2a).
Variables and parameters used in the models of susceptible prey-infected prey-predator population interaction are given by Chattopadhyay et al. [11], Table 2, where r=3,qquad K=45,qquad beta=0.05,qquad mu=0.24,qquad theta=0.4, qquad delta=0.09.
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