Mapping Cyanobacterial Blooms in the Great Lakes Using MODIS

ABSTRACT Toxin-producing Cyanobacteria have been documented in Lake Erie and Ontario in the last several years. We developed algorithms to discriminate potentially toxic cyanobacterial blooms from other harmless phytoplankton blooms and to extract relative phycocyanin abundances from Moderate Resolution Imaging Spectrometer (MODIS) satellite data. Lee's quasi-analytical algorithm was used to calculate total absorption and backscatter from the 250 m, 500 m and 1 km bands of MODIS scenes. A non-negative least square algorithm was then utilized to discern relative concentrations of Chlorophyta (green algae), phycocyanin-rich Cyanobacteria (blue-green algae), and colored dissolved organic matter and suspended sediments combined in lake waters using published absorption spectra for these components. MODIS-derived cyanobacterial concentrations and/or bloom distributions from 10 scenes acquired in the summers of 2004 and 2005 were successfully verified against contemporaneous calibrated measurements of pigments that were acquired from measurements made using continuous fluorimetric measurements of surface water (1 m depth) from six cruises, and three additional cyanobacterial blooms reported in the scientific literature between 2002 and 2006. These results demonstrate that this methodology could be used to develop a cost-effective practical screening method for rapid detection and warning of potentially toxic cyanobacterial blooms in the lower Great Lakes.

[1]  T. Kutser,et al.  Suitability of MODIS 250 m resolution band data for quantitative mapping of cyanobacterial blooms , 2006, Proceedings of the Estonian Academy of Sciences. Biology. Ecology.

[2]  R. Arnone,et al.  Deriving inherent optical properties from water color: a multiband quasi-analytical algorithm for optically deep waters. , 2002, Applied optics.

[3]  X. Xiong,et al.  Four-years of on-orbit spectral characterization results for Aqua MODIS reflective solar bands , 2006, SPIE Remote Sensing.

[4]  B. Whitton.  Handbook of Phycological Methods. Physiological and Biochemical Methods , 1979 .

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

[6]  C. Lawson,et al.  Solving least squares problems , 1976, Classics in applied mathematics.

[7]  C. Barwell,et al.  Purification and characterization of phycocyanin from the marine cyanobacterium Synechococcus sp. IO9201 , 1998 .

[8]  Shubha Sathyendranath,et al.  Variations in the spectral values of specific absorption of phytoplankton , 1987 .

[9]  G. Boyer.  Cyanobacterial toxins in New York and the lower Great Lakes ecosystems. , 2008, Advances in experimental medicine and biology.

[10]  C. Moldaenke,et al.  A reduced model of the fluorescence from the cyanobacterial photosynthetic apparatus designed for the in situ detection of cyanobacteria. , 2003, Biochimica et biophysica acta.

[11]  D. Bryant.  The photoregulated expression of multiple phycocyanin species. A general mechanism for the control of phycocyanin synthesis in chromatically adapting cyanobacteria. , 1981, European journal of biochemistry.

[12]  Tiit Kutser,et al.  Monitoring cyanobacterial blooms by satellite remote sensing , 2006 .

[13]  E. Konopko.  Development of a flow-through fluorometric system for the detection of phycocyanin in the lower Great Lakes , 2007 .

[14]  Graham P. Harris,et al.  Detection, identification and mapping of cyanobacteria — Using remote sensing to measure the optical quality of turbid inland waters , 1994 .

[15]  H. Gordon,et al.  Computed relationships between the inherent and apparent optical properties of a flat homogeneous ocean. , 1975, Applied optics.

[16]  H. Dau,et al.  A fluorometric method for the differentiation of algal populations in vivo and in situ , 2004, Photosynthesis Research.

[17]  G. Hallegraeff.  A review of harmful algal blooms and their apparent global increase , 1993 .

[18]  E. Fry,et al.  Absorption spectrum (380-700 nm) of pure water. II. Integrating cavity measurements. , 1997, Applied optics.

[19]  J. Leppänen,et al.  The influence of weather conditions (temperature and wind) on cyanobacterial bloom development in the Gulf of Finland (Baltic Sea) , 2003 .

[20]  D. Millie,et al.  Microcystin concentrations and genetic diversity of Microcystis in the lower Great Lakes , 2008, Environmental toxicology.

[21]  T. W. Lewis,et al.  The Occurrence of Cyanotoxins in the Nearshore and Coastal Embayments of Lake Ontario , 2006 .

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

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

[24]  D. Bryant.  The Photoregulated Expression of Multiple Phycocyanin Species , 1981 .

[25]  Timothy J. Malthus,et al.  Quantitative modeling of inland water quality for high-resolution MSS systems , 1991, IEEE Trans. Geosci. Remote. Sens..

[26]  William G. Booty,et al.  Spectral absorption properties of dissolved and particulate matter in Lake Erie , 2008 .

[27]  O. Schofield,et al.  Characterization of the light field in laboratory scale enclosures of eutrophic lake water (Lake Loosdrecht, The Netherlands) , 1992, Hydrobiologia.

[28]  R. Bukata,et al.  Optical Properties and Remote Sensing of Inland and Coastal Waters , 1995 .

[29]  J. Downing,et al.  Predicting cyanobacteria dominance in lakes , 2001 .

[30]  P. Carra.  Algal biliproteins. , 1970, The Biochemical journal.

[31]  Charles L. Lawson,et al.  Solving least squares problems , 1976, Classics in applied mathematics.

[32]  G. Boyer,et al.  Quantification of toxic Microcystis spp. during the 2003 and 2004 blooms in western Lake Erie using quantitative real-time PCR. , 2005, Environmental science & technology.

[33]  N. Welschmeyer.  Fluorometric analysis of chlorophyll a in the presence of chlorophyll b and pheopigments , 1994 .

[34]  H. Kenneth Hudnell,et al.  Cyanobacterial harmful algal blooms: state of the science and research needs. Proceedings of the Interagency, International Symposium on Cyanobacterial Harmful Algal Blooms (ISOC-HAB). , 2008, Advances in Experimental Medicine and Biology.

[35]  H. Paerl,et al.  Nutrient and other environmental controls of harmful cyanobacterial blooms along the freshwater-marine continuum. , 2008, Advances in experimental medicine and biology.

[36]  J. Burkholder,et al.  Harmful algal blooms and eutrophication: Nutrient sources, composition, and consequences , 2002 .

[37]  B. Osborne,et al.  Light and Photosynthesis in Aquatic Ecosystems. , 1985 .

[38]  K. Havens,et al.  Cyanobacteria blooms: effects on aquatic ecosystems. , 2008, Advances in Experimental Medicine and Biology.

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