Dynamic internal drivers of a historically severe cyanobacteria bloom in Lake Champlain revealed through comprehensive monitoring

摘要: The shallow bays of Lake Champlain have experienced increasingly severe algal blooms over recent decades, but the drivers inter- and intra-annual variability bloom severity are poorly understood. Disentangling relative importance multiple processes driving cyanobacteria is difficult, in part because traditional monitoring programs often lack adequate temporal resolution, many studies seek to identify a single dominant mechanism. In this study, holistic approach was used strong cyanobacterial time shallow, eutrophic bay utilizing high-temporal-resolution meteorological, water quality, biogeochemical sensor data; an intensive field sampling program; long-term dataset. contrast similar systems, spring runoff nutrient loads could not explain 2012 bloom. Instead, internal loading hydrodynamic conditions mediated shifts resource limitation. growth phase associated with depletion available nitrogen sediment phosphorus release. peak stage characterized by limiting resources stable column conditions. decline light limitation brought about wind mixing, punctuated major storm event, which shift lake system. This study illustrates complexity response external forcing time, also power comprehensive approaches disentangling complex ecosystem function that vary across spatial scales.