The spatial dynamics of vertical migration by Microcystis aeruginosa in a eutrophic shallow lake: A case study using high spatial resolution time‐series airborne remote sensing

Time-series airborne remote sensing was used to monitor diurnal changes in the spatial distribution of a bloom of the potentially toxic cyanobacterium Microcystis aeruginosa in the shallow eutrophic waters of Barton Broad, United Kingdom. High spatial resolution images from the Compact Airborne Spectrographic Imager (CASI-2) were acquired over Barton Broad on 29 August 2005 at 09:30 h, 12:00 h, and 16:00 h Greenwich mean time. Semiempirical water-leaving radiance algorithms were derived for the quantification of chlorophyll a (R2 5 0.96) and C-phycocyanin (R2 5 0.95) and applied to the CASI-2 imagery to generate dynamic, spatially resolving maps of the M. aeruginosa bloom. The development of the bloom may have been fostered by a combination of the recent improvements in the ambient light environment of Barton Broad, allied to the acute depletion of bioavailable nutrient pools, and stable hydrodynamic conditions. The vertical distribution of M. aeruginosa was highly transient; buoyant colonies formed early morning and late afternoon near-surface aggregations across the lake during periods of nonturbulent mixing (wind speed , 4ms 21). However, the extent of these near-surface aggregations was highly spatially variable, and nearshore morphometry appeared to be crucial in creating localized regions of nonturbulent water in which pronounced and persistent near-surface aggregations were observed. The formation of these near-surface scums would have been vital in alleviating light starvation in the turbid waters of Barton Broad. The calm water refuges in which persistent near-surface accumulations occurred may have been an important factor in determining the persistence of the bloom.

[1]  Peter D. Hunter,et al.  Spectral discrimination of phytoplankton colour groups: The effect of suspended particulate matter and sensor spectral resolution , 2008 .

[2]  R. Oliver FLOATING AND SINKING IN GAS‐VACUOLATE CYANOBACTERIA1 , 1994 .

[3]  C. S. Reynolds,et al.  Growth and buoyancy of Microcystis aeruginosa Kütz. emend. Elenkin in a shallow eutrophic lake , 1973, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[4]  Hee-Mock Oh,et al.  Rainfall, phycocyanin, and N:P ratios related to cyanobacterial blooms in a Korean large reservoir , 2002, Hydrobiologia.

[5]  C. Llewellyn,et al.  The rapid determination of algal chlorophyll and carotenoid pigments and their breakdown products in natural waters by reverse-phase high-performance liquid chromatography , 1983 .

[6]  Andrew N. Tyler,et al.  Remote sensing of the water quality of shallow lakes: A mixture modelling approach to quantifying phytoplankton in water characterized by high‐suspended sediment , 2006 .

[7]  S. Humphries,et al.  Cyanophyte blooms: The role of cell buoyancy1 , 1988 .

[8]  C. Reynolds,et al.  Seasonal variations in the vertical distribution and buoyancy of Microcystis aeruginosa Kütz. emend. Elenkin in Rostherne Mere, England , 2004, Hydrobiologia.

[9]  Gokare A. Ravishankar,et al.  Phycocyanin from Spirulina sp: influence of processing of biomass on phycocyanin yield, analysis of efficacy of extraction methods and stability studies on phycocyanin , 1999 .

[10]  Mar Ecol Prog,et al.  Improved HPLC method for the analysis of chlorophylls and carotenoids from marine phytoplankton , 2022 .

[11]  J. Eriksson,et al.  Toxic cyanobacteria and water quality problems—Examples from a eutrophic lake on Åland, South West Finland , 1989 .

[12]  Lawrence Bogorad,et al.  COMPLEMENTARY CHROMATIC ADAPTATION IN A FILAMENTOUS BLUE-GREEN ALGA , 1973, The Journal of cell biology.

[13]  F. Madgwick Restoring nutrient-enriched shallow lakes: integration of theory and practice in the Norfolk Broads, U.K. , 1999, Hydrobiologia.

[14]  Algae and cyanobacteria in fresh water , 2004 .

[15]  T. Zohary,et al.  Environmental factors favouring the formation of Microcystis aeruginosa hyperscums in a hypertrophic lake , 1989, Hydrobiologia.

[16]  Marten Scheffer,et al.  On the Dominance of filamentous cyanobacteria in shallow, turbid lakes , 1997 .

[17]  Tiit Kutser,et al.  Recognising cyanobacterial blooms based on their optical signature : a modelling study , 2006 .

[18]  A. Richmond,et al.  C-phycocyanin as a storage protein in the blue-green alga Spirulina platensis , 1980, Archives of Microbiology.

[19]  J. Rijn,et al.  Carbohydrate fluctuations, gas vacuolation, and vertical migration of scum-forming cyanobacteria in fishponds1 , 1985 .

[20]  Ian T. Webster,et al.  Effect of wind on the distribution of phytoplankton cells in lakes , 1990 .

[21]  C. Reynolds The Ecology of Phytoplankton , 2006 .

[22]  Jennifer P. Cannizzaro,et al.  Estimating chlorophyll a concentrations from remote-sensing reflectance in optically shallow waters , 2006 .

[23]  A. Konopka,et al.  Buoyancy regulation in light-limited continuous cultures of Microcystis aeruginosa , 1988 .

[24]  N. Takamura,et al.  Diurnal changes in the vertical distribution of phytoplankton in hypertrophic Lake Kasumigaura, Japan , 1984, Hydrobiologia.

[25]  V. S. Hope,et al.  An assessment of the effectiveness of atmospheric correction algorithms through the remote sensing of some reservoirs , 2004 .

[26]  L. V. Breemen,et al.  Diurnal buoyancy changes of Microcystis in an artificially mixed storage reservoir , 1996, Hydrobiologia.

[27]  S. Bunn,et al.  Consumption of cyanobacteria by freshwater zooplankton : implications for the success of 'top-down' control of cyanobacterial blooms in Australia. , 1994 .

[28]  Antonio Ruiz-Verdú,et al.  Influence of phytoplankton pigment composition on remote sensing of cyanobacterial biomass , 2007 .

[29]  Tiit Kutser,et al.  Quantitative detection of chlorophyll in cyanobacterial blooms by satellite remote sensing , 2004 .

[30]  H. Paerl Nuisance phytoplankton blooms in coastal, estuarine, and inland waters1 , 1988 .

[31]  Arnold G. Dekker,et al.  Detection of optical water quality parameters for eutrophic waters by high resolution remote sensing , 1993 .

[32]  E. Rantajärvi,et al.  Effect of sampling frequency on detection of natural variability in phytoplankton: unattended high-frequency measurements on board ferries in the Baltic Sea , 1998 .

[33]  Tiit Kutser,et al.  Comparison of different satellite sensors in detecting cyanobacterial bloom events in the Baltic Sea , 2006 .

[34]  A. Gitelson,et al.  Assessing the potential of SeaWiFS and MODIS for estimating chlorophyll concentration in turbid productive waters using red and near-infrared bands , 2005 .

[35]  D. Lean,et al.  Influence of water temperature and nitrogen to phosphorus ratios on the dominance of blue green algae in Lake St. George, Ontario , 1987 .

[36]  E. Carpenter,et al.  Diel buoyancy regulation in the marine diazotrophic cyanobacterium Trichodesmium thiebautii , 1990 .

[37]  P. Atkinson,et al.  Modelling spatial distributions of Ceratium hirundnella and Microcystis. in a small productive British lake , 2004, Hydrobiologia.

[38]  Zhou Yang,et al.  Effects of Wind and Wind-Induced Waves on Vertical Phytoplankton Distribution and Surface Blooms of Microcystis aeruginosa in Lake Taihu , 2006 .

[39]  Stefan G. H. Simis,et al.  Remote sensing of the cyanobacterial pigment phycocyanin in turbid inland water , 2005 .

[40]  M. Dokulil,et al.  Cyanobacterial dominance in lakes , 2000, Hydrobiologia.

[41]  R. Vincent,et al.  Phycocyanin detection from LANDSAT TM data for mapping cyanobacterial blooms in Lake Erie , 2004 .

[42]  R. Oliver,et al.  Direct evidence for the role of light-mediated gas vesicle collapse in the buoyancy regulation of Anabaena flos-aquae (cyanobacteria) , 1984 .

[43]  Donald C. Rundquist,et al.  Comparison of NIR/RED ratio and first derivative of reflectance in estimating algal-chlorophyll concentration: A case study in a turbid reservoir , 1997 .

[44]  Restoring nutrient-enriched shallow lakes: integration of theory and practice in the Norfolk Broads, U.K. , 1999 .

[45]  Kunimitsu Kaya,et al.  Cyanobacterial toxins, exposure routes and human health , 1999 .

[46]  G. Codd,et al.  Cyanobacterial toxins: risk management for health protection. , 2005, Toxicology and applied pharmacology.

[47]  Peter M. Atkinson,et al.  Coupling remote sensing with computational fluid dynamics modelling to estimate lake chlorophyll-a concentration , 2002 .

[48]  Colin S. Reynolds,et al.  Towards a functional classification of the freshwater phytoplankton , 2002 .

[49]  Peter Blomqvist,et al.  Factors determining cyanobacterial success in aquatic systems: A literature review , 1998 .

[50]  G. Phillips,et al.  The recovery of a very shallow eutrophic lake, 20 years after the control of effluent derived phosphorus , 2005 .

[51]  D. G. George,et al.  The effect of wind on the distribution of chlorophyll a and crustacean plankton in a shallow eutrophic reservoir , 1976 .

[52]  Ian T. Webster,et al.  Effect of wind on the distribution of phytoplankton cells in lakes revisited , 1994 .

[53]  C. Reynolds,et al.  WATER‐BLOOMS , 1975 .

[54]  Anthony E. Walsby,et al.  Cyanobacterial dominance: the role of buoyancy regulation in dynamic lake environments , 1987 .

[55]  K. Havens,et al.  N:P ratios, light limitation, and cyanobacterial dominance in a subtropical lake impacted by non-point source nutrient pollution. , 2003, Environmental pollution.