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Temporal Dynamics and Regulation of Lake Metabolism

We studied temporal dynamics and regulation of oxygen metabolism in the upper mixed layer of a nutrientrich shallow Danish lake by continuous measurements of oxygen, irradiance, wind, and temperature and frequent measurements of algal chlorophyll, organic pools, and inorganic nutrients. Chlorophyll,...

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Published in:Limnology and oceanography 2007-01, Vol.52 (1), p.108-120
Main Authors: Staehr, Peter A., Sand-Jensen, Kaj
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Sand-Jensen, Kaj
description We studied temporal dynamics and regulation of oxygen metabolism in the upper mixed layer of a nutrientrich shallow Danish lake by continuous measurements of oxygen, irradiance, wind, and temperature and frequent measurements of algal chlorophyll, organic pools, and inorganic nutrients. Chlorophyll, algal growth rate, and mean irradiance $ \rm (E_{mean})$ in the mixed surface layer were calculated daily from continuous measurements of irradiance and temperature with depth. There were three to four distinct maxima in gross primary production (GPP) and community respiration (R) during the summer season and minima from fall to spring after broad-scale changes in irradiance, temperature, mixing depth, and biomass and growth rate of the algal community and concentrations of inorganic nutrients. Lake metabolism was annually balanced (mean GPP:R 1.04 in 2003 and 1.01 in 2004), with net autotrophy occurring mainly from mid-May to mid-September (mean GPP : R 1.14 in 2003 and 1.10 in 2004), and net heterotrophy outside this period (mean GPP:R 0.60 in 2003 and 0.81 in 2004). However, GPP : R varied two-to threefold from day to day because lower surface irradiance, higher mixing depth, and thus lower $ \rm (E_{mean})$ significantly reduced GPP. Normalizing GPP to chlorophyll provided an index of algal growth potential $\rm (GPP^B)$ which followed a hyperbolic relationship to $ \rm (E_{mean})$ and both parameters were related to blooms and collapses of algal biomass. Metabolic rates were much more variable from day to day than algal biomass, which integrates growth and loss processes over longer periods. The continuous approach to lake metabolism provides better data and can provide a more accurate picture than averages of a few discrete measurements. Weekly averages reflected the characteristic seasonal peaks and troughs also observed for algal biomass, whereas monthly averages did not. Daily measurements of lake metabolism, therefore, can provide the optimal background for evaluating temporal changes and regulation of algal biomass and organic pools in nutrient-rich shallow lakes.
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Chlorophyll, algal growth rate, and mean irradiance $ \rm (E_{mean})$ in the mixed surface layer were calculated daily from continuous measurements of irradiance and temperature with depth. There were three to four distinct maxima in gross primary production (GPP) and community respiration (R) during the summer season and minima from fall to spring after broad-scale changes in irradiance, temperature, mixing depth, and biomass and growth rate of the algal community and concentrations of inorganic nutrients. Lake metabolism was annually balanced (mean GPP:R 1.04 in 2003 and 1.01 in 2004), with net autotrophy occurring mainly from mid-May to mid-September (mean GPP : R 1.14 in 2003 and 1.10 in 2004), and net heterotrophy outside this period (mean GPP:R 0.60 in 2003 and 0.81 in 2004). However, GPP : R varied two-to threefold from day to day because lower surface irradiance, higher mixing depth, and thus lower $ \rm (E_{mean})$ significantly reduced GPP. Normalizing GPP to chlorophyll provided an index of algal growth potential $\rm (GPP^B)$ which followed a hyperbolic relationship to $ \rm (E_{mean})$ and both parameters were related to blooms and collapses of algal biomass. Metabolic rates were much more variable from day to day than algal biomass, which integrates growth and loss processes over longer periods. The continuous approach to lake metabolism provides better data and can provide a more accurate picture than averages of a few discrete measurements. Weekly averages reflected the characteristic seasonal peaks and troughs also observed for algal biomass, whereas monthly averages did not. 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Normalizing GPP to chlorophyll provided an index of algal growth potential $\rm (GPP^B)$ which followed a hyperbolic relationship to $ \rm (E_{mean})$ and both parameters were related to blooms and collapses of algal biomass. Metabolic rates were much more variable from day to day than algal biomass, which integrates growth and loss processes over longer periods. The continuous approach to lake metabolism provides better data and can provide a more accurate picture than averages of a few discrete measurements. Weekly averages reflected the characteristic seasonal peaks and troughs also observed for algal biomass, whereas monthly averages did not. 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subjects Animal and plant ecology
Animal, plant and microbial ecology
Biological and medical sciences
Biomass production
Earth sciences
Earth, ocean, space
Exact sciences and technology
Fresh water ecosystems
Freshwater
Freshwater ecosystems
Fundamental and applied biological sciences. Psychology
Hydrology
Hydrology. Hydrogeology
Irradiance
Lentic systems
Marine
Metabolism
Mixing height
Oxygen
Phytoplankton
Respiration
Stream metabolism
Synecology
title Temporal Dynamics and Regulation of Lake Metabolism
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