Tidal water flow within the CRE was assessed as a potential dispersal mechanism across the modeled distances.
In order to analyze the effect of the modeled region accuracy, we utilize a parameter,, where is a distance between a modeled boundary and an actual boundary and is a corresponding variance.
Using R, we performed a Mantel test to determine statistical similarity between our modeled dispersal distance and measured genetic distance from genetic analysis of 15 macaque populations throughout Bali, using microsatellite analysis across 13 loci [ 29], Lane-deGraaf et al., unpublished data.
The average distance between the modeled and experimental values, estimated using least-square distance, was 0.23 for gain and 57° for phase.
The average distance between the modeled and experimental values, as estimated with the use of least-square distance, was 0.09 for gain and 38.5° for phase.
The average distance between the modeled and experimental values, estimated using least-square distance, was 0.12 for gain and 16.7° for phase.
The average distance between the modeled and experimental values, estimated using least-square distance, was 0.18 for gain and 23.3° for phase.
In order to assess the effect of employing different geographic distances, dispersal events (i.e., models 3 6) were each modeled three times; as a decrease in geographic distance between the affected OTUs, of 500, 1000, or 1500 km per migration event.
This would then reduce the non-coverage problem for interpolations, by reducing the distance between the true and the modeled relationship between the variables.
The distance between the true distribution and its estimate is modeled via ϕ-divergences.
