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Depending on the angle and population ratios of fiber populations, diffusion may even look isotropic.
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Two unable to be competitive populations can be stabilized by the population diffusion [1].
With the development of the research concerned with population diffusion model, more and more people pay attention to diffusion systems.
The population diffusion affecting the dynamical behaviors of populations in differential patches are investigated by many researchers [1 5].
Nevertheless, more and more researchers have found that the population diffusion could be affected by many factors such as qualities and quantities of food, the pressures from competitors, and the predation risk from enemies.
For spatial coexistence, population diffusion is also important in influencing the outcome.
It also offers a quantitative calibration on the requirements for the emergence of various outcomes by examining the effects of inhibition, relative growth rate, and population diffusion.
The emergence, relative abundance, and characteristic features of these patterns are collectively determined by the competitive benefit of CDI and its growth disadvantage for a given rate of population diffusion.
In their first report, two populations of diffusion were observed; a majority (99%) underwent fast diffusion (D = 1.3 × 10 6 cm/s), while a small population exhibited longer adsorptions with dwell times as long as 3.3 s.
For voxels containing several fiber populations, the diffusion pattern can generically be described by a mixture of several weighted Gaussian tensors.
The data fitting procedures with multiple free parameters and correction terms generally do not allow assigning a unique result for a mixture of diffusing populations or anomalous diffusion modes without making significant model assumptions [37,38].
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