I have 10 independent locations (separated by at least 5 km) where I have collected abundance data for 17 species of birds. In particular, I want to look for correlations between one particular species and the 16 other species. Each site was sampled multiple times (separated by 2-8 weeks), some only 17 times while others were sampled 50+ times.
I know I can perform Spearman correlations for each location (most data are not normally distributed) and calculate r for each pair. However, as might be expected, not every location shares the same significant relationships and some are even conflicting (some + and some -). Some significant results seem rather spurious (significant based on only 2 observations of one species).
Is there some way I can compile all these different correlation results into a single test to determine whether there is a general trend for the one species to correlate with others? Am I doing this all wrong? I'm floundering and would welcome any advice.