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Three dispersal kernels were fitted to the dispersal data: a normal, a negative exponential, and a square root negative exponential kernel.
Habitat connectivity analyses were carried out on the basis of (1) habitat suitability maps generated from these models and (2) dispersal data from mark recapture studies.
For PIPL, habitat and dispersal data are from Audubon (2006), Seavey et al. 2010, and USFWS (2009), and for REKN, data are from Fallon (2005) and Leyrer et al. (2006).
Habitat area and dispersal data for SNPL are mostly from Aiello-Lammens et al. (2011) but also from Page et al. (2009), Patons and Edwards (1996), Stenze et al. (1994 20077), Warriner et al. (1986).
Dispersal data were not available for all species in the tree (369), but for subsets of 10 to 28 species, according to the metric considered.
Obtaining high quality estimates of genetic, demographic, and dispersal data was a clear prerequisite to be able to assess existing relations between these three kinds of trait.
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Noteworthy is the fact that λ equals both the mean and variance (a measure of the dispersal of data away from the mean) for the Poisson distribution.
Cleversafe proposes that after dispersal, the data goes back into Hadoop for analysis.
Furthermore, modelling pollen dispersal requires data on wind regimes.
We therefore develop an integrated method for assessing the habitat fragmentation that combines habitat suitability with dispersal distance data to assess the patch isolation, within-patch fragmentation and identify the functional habitat fragmentation categories.
Although the final answer will have to wait for a larger study than this one, including species with and without SSD, with and without bridging dispersal, our data suggest that selection to preserve bridging in males has induced SSD when female size has increased.
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