Abstract
The competitive ability of N-fixing blue-green algae (Aphanizomenon flos-aquae) was studied in Lake Kuortaneenjärvi, Finland. A 15-state dynamic lumped parameter model simulating N, P, and algae was used. The observed and modeled behavior of the lake was extrapolated using the model within a much wider range of input values for N and P loads, water temperature and irradiance, than was available at the model identification. For each input variable and run, a fixed amount of perturbation was introduced into the whole input array. An increase in the P load improved and an increase in the N load weakened the competitive ability of blue-greens. This was mainly due to the changes in the N:P ratio. Higher water temperatures greatly improved the facilities of cyanobacteria, but the competition was not sensitive to irradiance. The different roles of physiological and ecological factors appear clearly in the outcome. The simulation results coincide well with the existing ecological knowledge. This suggests that the assumptions used in the model identification do not involve major errors.
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Varis, O. (1993). Impacts of growth factors on competitive ability of blue-green algae analyzed with whole-lake simulation. In: Straškraba, M., Tundisi, J.G., Duncan, A. (eds) Comparative Reservoir Limnology and Water Quality Management. Developments in Hydrobiology, vol 77. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-1096-1_8
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DOI: https://doi.org/10.1007/978-94-017-1096-1_8
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