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RESEARCH PRODUCT

The Impact of Variations in the Climate on Seasonal Dynamics of Phytoplankton

Gesa A. WeyhenmeyerPeeter NõgesThomas JankowskiD. Glen GeorgeThorsten BlencknerLauri ArvolaJudit PadisákRita AdrianDietmar StraileStephen C. MaberlyKatrin TeubnerOrlane AnnevilleMarko Järvinen

subject

0106 biological sciencesCatchment ModellingClimate Change010604 marine biology & hydrobiologyCommunity structureClimate changePelagic zoneLake Modelling15. Life on landSpring bloom010603 evolutionary biology01 natural sciences6. Clean waterFood chainOceanographyWater column13. Climate actionddc:570Water QualityClimatologyPhytoplanktonEnvironmental science14. Life underwaterWater quality

description

Phytoplankton, an assemblage of suspended, primarily autotrophic single cells and colonies, forms part of the base of the pelagic food chain in lakes. The responses of phytoplankton to anthropogenic pressures frequently provide the most visible indication of a long-term change in water quality. Several attributes related to the growth and composition of phytoplankton, such as their community structure, abundance as well as the frequency and the intensity of blooms, are included as indicators of water quality in the Water Framework Directive. The growth and seasonal succession of phytoplankton is regulated by a variety of external as well as internal factors (Reynolds et al., 1993; Reynolds, 2006). Among the most important external factors are light, temperature, and those associated with the supply of nutrients from point and diffuse sources in the catchment. The internal factors include the residence time of the lakes, the underwater light regime and the mixing characteristics of the water column. The schematic diagram (Fig. 14.1) shows some of the ways in which systematic changes in the climate can modulate these seasonal and inter-annual variations. The effects associated with the projected changes in the rainfall are likely to be most pronounced in small lakes with short residence times (see George et al., 2004 for some examples). In contrast, those connected with the projected changes in irradiance and wind mixing, are likely to be most important in deep, thermally stratified lakes.

https://doi.org/10.1007/978-90-481-2945-4_14