Dear Colleagues,
I'm trying to better understand why we continue to invest in poorly constrained and often highly uncertain empirical models for estimating farm scale and catchment scale water quality outcomes.
I'm interested to know why we persist with these models, which are often VERY expensive, when it would make more sense to invest dollars in developing a better understanding of catchment scale dynamics.
Surely there is a point where it makes more sense/is of more value to measure and better constrain the key landscape level controls over water quality?
Any comments and associated literature on the limitations of empirical water quality models would be greatly appreciated.
Thank you.