
"Field data shows correlation — nitrogen and algae rise together. But does nitrogen CAUSE the algae? To answer that, you have to manipulate it. That's what experiments are for."

Observational data reveals correlation; manipulative experiments establish causation. By controlling all variables except the one we change, an experiment isolates cause and effect. In lagoon science, the central causal question is nutrient limitation: does added nitrogen, added phosphorus, or both actually stimulate algal growth in a given segment and season? You cannot answer this from monitoring alone — co-variation of N, P, temperature, and light confounds any observational analysis. A controlled nutrient-enrichment bioassay removes the confounders: same lagoon water, same light, same temperature, only the nutrient treatment differs. This is the experiment that underpins every load-reduction management decision: if we cut nitrogen, will chlorophyll actually fall?
