Is it possible to compare the p-values derived from non-parametric tests to parametric tests? For example, lets say dataset 1: Copper concentration in spoil is not normally distributed, so I have to use a non-parametric test on it and get a p-value. Dataset 2: copper concentration in plants happen to be normally distributed so I use a parametric test and derive a p-value. In my discussion, can I compare the two p-values despite the fact the methods used to derive them are quite different?

Thanks

Marius