Detecting cyanobacterial blooms in large North European lakes using the maximum chlorophyll index

Oceanologia

Volumn 52, Issue 2, 2010, Pages 237-257

  Alikas, Krista ^a   Kangro, Kersti ^b   Reinart, Anu ^a  

^a Estonian University of Life Sciences ^*

^b ESTONIAN UNIVERSITY OF LIFE SCIENCES   (Estonia)

Author keywords

Chlorophyll a; Cyanobacteria; Maximum chlorophyll index; MERIS; Phytoplankton

Indexed keywords

ALGAL BLOOM; CHLOROPHYLL A; CYANOBACTERIUM; LAKE WATER; MERIS; OPTICAL PROPERTY; PHYTOPLANKTON; SATELLITE IMAGERY;

ESTONIA; LAKE PEIPSI; LAKE VORTSJARV;

CYANOBACTERIA;

EID: 77954447213     PISSN: 00783234     EISSN: None     Source Type: Journal    
DOI: 10.5697/oc.52-2.237     Document Type: Article

References (51)

1. Alikas K., Reinart A., 2008, Validation of the MERIS products on large European lakes: Peipsi, Vänern and Vättern, Hydrobiologia, 599(1), 161-168.
2. Carvalho L., Solimini A.G., Phillips G., Pietiläinen O.-P., Moe J., Cardoso A.C., Solheim A.L., Ott I., Søndergaard M., Tartari G., Rekolainen S., 2009, Sitespecific chlorophyll reference conditions for lakes in Northern and Western Europe, Hydrobiologia, 633(1), 59-66.
3. Clarke R., Carvalho L., Maberly S., 2006., Uncertainty in chlorophyll and total phosphorus classifications, [in:] Chlorophyll and phosphorus classifications for UK lakes, L. Carvalho, G. Phillips, S. Maberly & R. Clarke, Fin. Rep. SNIFFER (Proj. WFD38), Edinburgh, [available at http://www.sniffer.org. uk/].
4. Doerffer R., Schiller H., 2008, MERIS lake water algorithm for BEAM, algorithm theoretical basis document, http://www.brockmann-consult.de/beam-wiki/ download/attachments/1900548/ATBD\ lake\ water\ RD20080610.pdf? version=1
5. Doerffer R., Schiller H., 2007, The MERIS Case 2 water algorithm, J. Remote Sens., 28(3-4), 517-535.
6. Feldmann T., Nõges P., 2007, Factors controlling macrophyte distribution in large shallow Lake Võrtsjärv, Aquat. Bot., 87(1), 15-21.
7. Frisk T., Bilaletdin Ä., Kaipainen H., Malve O., Möls M., 1999, Modelling phytoplankton dynamics of the eutrophic Lake Võrtsjärv, Estonia, Hydrobiologia, 414(0), 59-69.
8. Gons H.J., Auer M.T., Effler S.W., 2008, MERIS satellite chlorophyll mapping of oligotrophic and eutrophic waters in the Laurentian Great Lakes, Remote Sens. Environ., 112(11), 4098-4106.
9. Gons H. J., Rijkeboer M., Ruddick K.G., 2002, A chlorophyll-retrieval algorithm for satellite imagery (Medium Resolution Imaging Spectrometer) of inland and coastal waters, J. Plankton Res., 24(9), 947-951.
10. Gower J.F.R., Hu C., Borstad G.A, King S., 2006, Ocean color satellites show extensive lines of floating Sargassum in the Gulf of Mexico, IEEE T. Geosci. Remote, 44(12), 3619-3625.
11. Gower J.F.R., King S., 2007, An Antarctic ice-related 'superbloom' observed with the MERIS satellite imager, Geophys. Res. Lett., 34, L15501, doi:10.1029/2007GL029638.
12. Gower J.F.R., King S., Borstad G.A., Brown L., 2005, Use of the 709 nm band of MERIS to detect intense plankton blooms and other conditions in coastal waters, Proc. 2004 Envisat & ERS Symp., Salzburg, ESA SP-572.
13. Gower J.F.R., King S., Borstad G.A., Brown L., 2008a, The importance of a band at 709 nm for interpreting water-leaving spectral radiance, Can. J. Remote Sens., 34(3), 287-295.
14. Gower J.F.R., King S., Goncalves P., 2008b, Global monitoring of plankton blooms using MERIS MCI, Int. J. Remote Sens., 29(21), 6209-6216.
15. Huttula T., Nõges T. (eds.), 1998, Present state and future fate of Lake Võrtsjärv. Results from Finnish-Estonian joint project in 1993-1997, The Finnish Environment 209, Pirkanmaa Regional Environment Centre, Tampere, 150 pp.
16. Härmä P., Vepsäläinen J., Hannonen T., Pyhälahti T., Kämäri J., Kallio K., Eloheimo K., Koponen S., 2001, Detection of water quality using simulated satellite data and semi-empirical algorithms in Finland, Sci. Total Environ., 268 (1-3), 107-121.
17. ISO 10260, 1996, (E), Water quality. Measurement of biochemical parameters-Spectrophotometric determination of chlorophyll-a concentration, ISO, Geneva, 1-6.
18. Jaanus A., Toming K., Hällförs S., Kaljurand K., Lips I., 2009, Potential phytoplankton indicator species for monitoring Baltic coastal waters in the summer period, Hydrobiologia, 629(1), 157-168.
19. Jeffrey S.W., Humphrey G.F., 1975, New spectrophotometric equations for determining chlorophylls a, b, c and c2 in higher plants, algae and natural phytoplankton, Biochem. Physiol. Pfl., 167, 191-194.
20. Kahru M., Savchuk O.P., Elmgren R., 2007, Satellite measurements of cyanobacterial bloom frequency in the Baltic Sea: interannual and spatial variability, Mar. Ecol.-Prog. Ser., 343, 15-23.
21. Karlsson-Elfgren I., Hyenstrand P., Riydin E., 2005, Pelagic growth and colony division of Gloeotrichia echinulata in Lake Erken, J. Plankton Res., 27(2), 145-151.
22. Koponen S., Pulliainen J., Kallio K., Hallikainen M., 2002, Lake water quality classification with airborne hyperspectral spectrometer and simulated MERIS data, Remote Sens. Environ., 79(1), 51-59.
23. Koponen S., Ruiz-Verdu A., Heege T., Heblinski J., Sorensen K., Kallio K., Pyhälahti T., Doerffer R., Brockmann C., Peters M., 2008, Development of MERIS lake water algorithms, Validation Rep., http://www. brockmann-consult.de/beamwiki/download/attachments/
24. Kratzer S., Brockmann C., Moore G., 2008, Using MERIS full resolution data to monitor coastal waters - A case study from Himmerfjärden, a fjord-like bay in the northwestern Baltic Sea, Remote Sens. Environ., 112(5), 2284-2300.
25. Kullus L., 1964, Peipsi-Pihkva järve uurimisest ajavahemikul 1850-1917, Eesti Geografia Seltsi Aastaraamat 1963, Tartu, 148-158.
26. Kutser T., 2004, Quantitative detection of chlorophyll in cyanobacterial blooms by satellite remote sensing, Limnol. Oceanogr., 49(6), 2179-2189.
27. Laugaste R., Haberman J., Krause T., Salujõe J., 2007, Significant changes in phyto- and zooplankton in Lake Peipsi in recent years: what is the underlying reason?, Proc. Estonian Acad. Sci. Biol. Ecol., 56(2), 106-123.
28. Laugaste R., Jastremskij V.V., Ott I., 1996, Phytoplankton of Lake Peipsi-Pihkva: Species composition, biomass and seasonal dynamics, Hydrobiologia, 338 (1-3), 49-62.
29. Laugaste R., Nõges T., Tõnno I., 2008, Vetikad, [in:] Peipsi, J. Haberman, T. Timm & A. Raukas (eds.), Eesti Loodusfoto, Tartu, 251-270.
30. McClain C.R., 2009, A decade of satellite ocean color observations, Annu. Rev. Mar. Sci., 1, 19-42.
31. Morel A., Huot Y., Gentili B., Werdell P.J., Hooker S.B., Franz B.A., 2007, Examining the consistency of products derived from various ocean color sensors in open ocean (Case 1) waters in the perspective of a multi-sensor approach, Remote Sens. Environ., 111(1), 69-88.
32. Nixdorf B., Mischke U., Rücker J., 2003, Phytoplankton assemblages and steady state in deep and shallow eutrophic lakes - an approach to differentiate the habitat properties of Oscillatoriales, Hydrobiologia, 502(1-3), 111-121.
33. Nõges T., Haberman J., Jaani A., Laugaste R., Lokk S., Mäemets A., Nõges P., Starast H., Timm T., Virro T., 1996, General description of Lake Peipsi- Pihkva, Hydrobiologia, 338(1-3), 1-9.
34. Nõges T., Laugaste R., Nõges P., Tõnno I., 2008, Critical N:P ratio for cyanobacteria and N2-fixing species in large shallow temperate lakes Peipsi and Võrtsjärv, North-East Europe, Hydrobiologia, 599(1), 77-86.
35. Oliver R.L., Ganf G.C., 2002, Freshwater blooms, [in:] The ecology of cyanobacteria. Their diversity in time and in space, B.A. Whitton & M. Potts (eds.), Kluwer Acad. Publ., New York, Boston, Dordrecht, London, Moscow, 149-194.
36. Paerl H.W., 2002, Marine plankton, [in:] The ecology of cyanobacteria. Their diversity in time and space, B.A. Whitton & M. Potts (eds.), Kluwer Acad. Publ., New York, Boston, Dordrecht, London, Moscow, 121-148.
37. Reinart A., Nõges P., 2004, Light conditions in Lake Võrtsjärv, [in:] Lake Võrtsjärv, J. Haberman, E. Pihu & A. Raukas (eds.), Estonian Encyclopaedia Publ., 141-149.
38. Reinart A., Valdmets K., 2007, Variability of optical water types in Lake Peipsi, Proc. Estonian Acad. Sci. Biol. Ecol., 56(1), 33-46.
39. Reynolds C.S., 2006, Ecology of phytoplankton, Cambridge Univ. Press, Cambridge, 535 pp.
40. Ruddick K.G., Gons H.J., Rijkeboer M., Tilstone G., 2001, Optical remote sensing of chlorophyll a in case 2 waters by use of an adaptive two-band algorithm with optimal error properties, Appl. Optics, 40(21), 3575-3585.
41. Rundquist D.C., Han L., Schalles J.F., Peake J.S., 1996, Remote measurement of algal chlorophyll in surface waters: The case for the first derivative of reflectance near 690 nm, Photogramm. Eng. Rem. S., 62(2), 195-200.
42. Sarmento H., Descy J.-P., 2008, Use of marker pigments and functional groups for assessing the status of phytoplankton assemblages in lakes, J. Appl. Phycol., 20 (6),1001-1011.
43. Schalles J.F., Yacobi Y.Z., 2000, Remote detection and seasonal patterns of phycocyanin, carotenoid and chlorophyll pigments in eutrophic waters, Arch. Hydrobiol., 55(Spec. Iss.), 153-168.
44. Schroeder T., Schaale M., 2005, MERIS case-2 water properties processor, version 1.0.1, Inst. Space Sci., Freie Univ., Berlin (FUB), [http://www.brockmann-consult.de/beam/software/plugins/FUB-WeW-Water-1.0.1.zip].
45. Sellner K.G., 1997, Physiology, ecology and toxic properties of marine cyanobacteria blooms, Limnol. Oceanogr., 42(5 pt. 2), 1089-1104.
46. Simis S.G.H., Peters S.W.M., Gons H.J., 2005, Remote sensing of the cyanobacterial pigment phycocyanin in turbid inland water, Limnol. Oceanogr., 50 (1),237-245.
47. Smith V.H., Willén E., Karlsson B., 1987, Predicting the summer peak biomass of four species of blue-green algae (cyanophyta/cyanobacteria) in Swedish lakes, Water Resour. Bull., 23(3), 397-402.
48. Sørensen K., Aas E., Høkedal J., 2004, Validation of MERIS water products and bio-optical relationships in the Skagerrak, Int. J. Remote Sens., 28(3 & 4), 555-568.
49. Utermöhl H., 1958, Zur Vervollkommnung der quantitativen Phytoplankton- Methodik, Mitt. Int. Ver. Limnol., 9, 1-38.
50. Water Framework Directive, Directive 2000/60/EC, Offic. J. Eur. Comm., L327, 1-27.
51. Webster I.T., Hutchinson P.A., 1994, Effect of the wind on the distribution of phytoplankton cells in lakes revisited, Limnol. Oceanogr., 39(2), 365-373.