Slide 16 of 25
We modeled connectivity at two scales. At the local scale, our quantitative metric gives the expected number of dispersing animals arriving annually from nearby pools. Parameters for this metric are dispersal distance and the expected number of juveniles leaving a pool. This second parameter affects the quantitative result, but not the rank order of pools.
At the regional scale, we wanted to represent the size of genetically connected metapopulations. Our quantitative metric represents the number of pools in a regional cluster connected by at least one dispersing animal per generation. Parameters at this scale include those at the local scale, plus generation time.
Finally, we combined these two quantitative metrics into a quantitative metric that represents the relative degree of connectivity for each pool. We did this by rescaling the local and regional metrics from 0 to 1, adding them together, and expressing the sum in percentiles.