Intra-annual variation of phytoplankton community responses to factorial N,P, and CO2 enrichment in a temperate mesotrophic lake

1. Across primary producer communities in different lakes, nitrogen (N) and phosphorus (P) can exhibit many different patterns of limitation. Here, we look at the intra-annual variability of these patterns in a single lake. Furthermore, we investigate whether a third resource, carbon dioxide (CO₂) can have significant effects on phytoplankton biomass and community composition.
2. We performed five in situ lacustrine mesocosm experiments at different times of the year. In each experiment, we had a factorial design with two levels of N, P and CO₂ enrichment (no enrichment or double lake concentrations for N and P and atmospheric (400 ppm) and c. 1,000 ppm for CO₂) resulting in a total of eight treatments. Mesocosms of c. 1,600 L were suspended in a temperate, mesotrophic lake (Lac Hertel, Canada). Each experiment lasted 2 weeks and chlorophyll a biomass, coarse chemotaxonomic community composition (measured using fluorometry), and several environmental variables were recorded at a minimum of four time points.
3. We found that the limiting, synergistic, and community composition effects of N and P varied between experiments. TN:TP ratios explained, in part, some of this variability, along with insolation and water temperature.
4. Despite relatively high levels of CO₂ in the control mesocosms, we found a constant synergistic effect of CO₂ with N. In combination with the synergistic effect of P with N found in some experiments, this provides support for CO₂ as one of the multiple limiting resources in nutrient-enriched systems. This finding could have implications for eutrophic lakes exposed to increasing concentrations of CO₂.
5. We also found that the effects of CO₂ on community composition varied intra-annually. Thus, we conclude that generalised predictions about the effect of CO₂ on community composition at a coarse chemotaxonomic scale are unlikely to hold, but predictions specific to season and system are likely to be reliable.