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Parent tree stems and not crown edges were used as the point sources for all modelling of dispersal.
Modelling of dispersal movements within metapopulations is a useful tool to predict movements and patch occupations, but often the connecting pathways, and thereby the movement behaviour itself, are largely ignored [ 1], but see [ 6- 8].
While it is interesting that this preference was captured in our IBR analyses derived from microsatellite-based relatedness, its impact on the resulting current maps is rather weak, as modelling of dispersal across the landscape is very similar for skunks and female raccoons (Fig. 3A,B).
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This study highlights the necessity of researchers to declare their conceptual models of dispersal when applying modeled dispersal curves to grid landscapes.
However, there is a gap between modeling approaches and empirical studies in that the number and sophistication of theoretical models of dispersal far exceeds our knowledge of actual animal movements.
We explored the utility of incorporating easily measured, biologically realistic movement rules into simple models of dispersal.
We propose a prototype of a GIS-based spatially explicit model of dispersal agent behavior (SEMODAR) to simulate the seed dispersal process by considering the unique behavioral characteristics of each seed dispersal agent.
The three models of dispersal are each valid conceptualizations of the dispersal process, but when given the same dispersal curve parameters, they produce different distributions of dispersed items across grid landscapes.
This study demonstrates the MCUP by developing three conceptual models of dispersal and showing how they produce different results even when given the same initial dispersal curves and areal units.
In contrast, a wave-like model of dispersal of RYMV, which postulates its initial diversification in East Africa, followed by westward spread across the continent, was developed, refined and dated.
Three conceptual models of dispersal (sum of curve points model, area of distance range model, and the volume of distance range model) are described and applied to a grid landscape with a single point of dispersal and a grid landscape with multiple points of dispersal.
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