The second part of this question is—so what? How remarkable are these wombled boundaries?
As you saw in the analysis, you find wombled boundaries by choosing the top x-percent of the boundary likelihood values (in this case, x-% = 17%). The next step is to determine whether these boundaries are more "boundary-like" than you would expect by chance.
By boundary-like, we mean: longer, higher diameter, and lower branchiness than you would expect by chance. To assess this, we use subboundary statistics. The characteristics of the analyzed boundaries are compared to those boundaries calculated for Monte Carlo randomizations of the dataset.
You can do this once you have a set of wombled boundaries.
In the Project Window, right-click on the local warbler boundaries (Boundaries tab), and choose "Subboundary Analysis" from the menu (or from the Boundary menu at the top).
Boundary: local warbler boundaries
Monte Carlo Settings (accept the defaults):
99 randomizations
Complete randomization
Output Settings:
Accept the name chosen
Clear the box next to standardize results (useful for comparison to other analyses, but not necessary)
Accept that you will view histograms after analysis.