PREDICTING THE SUMMER PEAK BIOMASS OF FOUR SPECIES OF BLUE‐GREEN ALGAE (CYANOPHYTA/CYANOBACTERIA) IN SWEDISH LAKES1
Val H. Smith, Eva Willén, Björn Karlsson
Abstract
Val H. Smith, Eva Willén, Björn Karlsson
Abstract
ABSTRACT: Stepwise multiple regression analysis was used to develop models predicting the summer peak biomass of Aphanizomenon flos‐aquae, Anabaena flos‐aquae, Oscillatoria agardhii, and Microcystis aeruginosa in four Swedish lakes. These analyses suggest that while epilimnetic total phosphorus concentration is the principal predictor of their peak biomass, other factors such as station mean depth, water temperature, total nitrogen, and total CO2 concentration are also important.
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ABSTRACT: Stepwise multiple regression analysis was used to develop models predicting the summer peak biomass of Aphanizomenon flos‐aquae, Anabaena flos‐aquae, Oscillatoria agardhii, and Microcystis aeruginosa in four Swedish lakes. These analyses suggest that while epilimnetic total phosphorus concentration is the principal predictor of their peak biomass, other factors such as station mean depth, water temperature, total nitrogen, and total CO2 concentration are also important.
Key concepts: Aphanizomenon, Anabaena, Microcystis, Oscillatoria, Cyanobacteria, Biomass (ecology), Microcystis aeruginosa, Environmental science