Environmental & Spatial Datasets
We retained four environmental PCs, explaining 92.6% of variance in the
raw environmental data (Table 2; see also Table S5 for estimations of
variance, eigenvalues, and loadings).
The first PC described winter AT
(mean winter AT and minimum AT of the coldest month). PC2 was best
described by summer AT and SST (mean and minimum summer SST, maximum
summer AT, and maximum AT of the warmest month). The third PC was
largely representative of wave exposure, but also included annual
temperature range. PC4 was described by a combination of summer AT and
SST (maximum summer SST, maximum AT of the warmest month), as well as
annual temperature range.
Estimations of spatial (dbMEM) and dispersal (AEM) distances produced
eight dbMEM vectors representing nonlinear gradients in spatial
structure (Table 2, Fig. S3), and three AEM vectors representing
current-mediated larval connectivity (Table 2).