Abstract
Time series of the chlorophyll-a concentration (Chl-a) observed by ocean color satellites from 1998 to 2009 were used to assess eutrophication in Toyama Bay, the Sea of Japan. An overall mean of Chl-a during the 12-year period was used to divide the study area into “high” or “low” Chl-a areas based on a reference condition of 5 mg m−3. The annual maximum monthly mean Chl-a trend was estimated pixel-wise and its significance examined by the Sen slope test at a 90 % confidence level. By combining the level and trend of remotely sensed Chl-a, Toyama Bay was then classified into six eutrophication states: high-increasing, high-no trend, high-decreasing, low-increasing, low-no trend and low-increasing. Our study indicates that the combined use of both the level and trend of remotely sensed Chl-a can be an efficient method to preliminarily assess eutrophication of coastal waters after a quality screening process with level 2 flags and validation with in situ Chl-a data.
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References
Barnes RA, Holmes AW, Esaias WE (1995) Stray light in the SeaWiFS radiometer. NASA Tech. Memo 104566, vol. 31. In: Hooker SB, Firestone ER, Acker JG (eds) NASA Goddard Space Flight Center, Greenbelt, pp 76
Behrenfeld MJ, O’Malley RT, Siegel DA, McClain CR, Sarmiento JL, Feldman GC, Milligan AJ, Falkowski PG, Letelier RM, Boss ES (2006) Climate-driven trends in contemporary ocean productivity. Nature 444:752–755
Boyce DG, Lewis MR, Worm B (2010) Global phytoplankton decline over the past century. Nature 466:591–596
Bricker SB, Clement CG, Pirhalla DE, Orland SP, Farrow DRG (1999) National estuarine eutrophication assessment: effects of nutrient enrichment in the nation’s estuaries. NOAA-NOS Special Projects Office and the National Centers for Coastal Ocean Science. Silver Spring, pp 71
Bricker SB, Ferreira J, Simas T (2003) An integrated methodology for assessment of estuarine trophic status. Ecol Model 169:39–60
Campbell JW (1995) The lognormal distribution as a model for bio-optical variability in the sea. J Geophys Res: Oceans 100(C7):13237–13254
Chen C, Tang S, Pan Z, Zhan H, Larson M, Jönsson L (2007) Remotely sensed assessment of water quality levels in the Pearl River Estuary, China. Mar Pollut Bull 54:1267–1272
Diaz RJ, Rosenberg R (2008) Spreading dead zones and consequences for marine ecosystems. Science 321:926–929
GESAMP (IMO/FAO/UNESCO-IOC/WMO/WHO/IAEA/UN/UNEP Joint Group of Experts on the Scientific Aspects of Marine Environmental Protection) and Advisory Committee on Protection of the Sea (2001) A sea of troubles. Rep. Stud. GESAMP No. 70, pp 35
Gohin F, Saulquin B, Oger-Jeanneret H, Lozac’h L, Lampert L, Lefebvre A, Riou P, Bruchon F (2008) Towards a better assessment of the ecological status of coastal waters using satellite-derived chlorophyll-a concentrations. Remote Sens Environ 112:3329–3340
Granek EF, Brumbaugh DR, Heppell SA, Heppell SS, Secord D (2005) A blueprint for the oceans: implications of two national commission reports for conservation practitioners. Conserv Biol 19:1008–1018
Greeson PE (1969) Lake eutrophication—a natural process. J Am Water Resour Assoc 5:16–30
Harding LW Jr, Perry ES (1997) Long-term increase of phytoplankton biomass in Chesapeake Bay, 1950–1994. Mar Ecol Prog Ser 157:39–52
HELCOM (2006) Development of tools for assessment of eutrophication in the Baltic Sea, Baltic Sea Environment Proceedings No. 104, Baltic Marine Environment Protection Commission–Helsinki Commission
Hirsch RM, Alexander RB, Smith RA (1991) Selection of methods for the detection and estimation of trends in water quality. Water Resour Res 27(5):803–813. doi:10.1029/91WR00259
Imai I, Yamaguchi M, Hori Y (2006) Eutrophication and occurrences of harmful algal blooms in the Seto Inland Sea, Japan. Plankton Benthos Res 1:71–84
Imamura A, Ishimori S, Kawasaki K (1985) Toyama Bay. II Physics. In: the Coastal Oceanography Research Committee, the Oceanographical Society of Japan (ed) Coastal Oceanography of Japanese Islands. Tokai Univ. Press, Tokyo, pp 990–1000 (in Japanese)
IOCCG (2000) Remote sensing of ocean colour in coastal, and other optically-complex, waters. In: Sathyendranath S (ed) Reports of the International Ocean-Colour Coordination Group, No. 3. IOCCG, Dartmouth, pp 5–21
Japan River Association (2004) Annual report of river water quality in Japan. pp 834 (in Japanese)
Kahru M, Mitchell BG (2008) Ocean color reveals increased blooms in various parts of the world. EOS Trans Am Geophys Union 89:170
Kallis G, Butler D (2001) The EU water framework directive: measures and implications. Water Policy 3:125–142
Kitsisiou D, Karydis M (2011) Coastal marine eutrophication: a review on data analysis. Environ Int 37:778–801
Klemas V (2011) Remote sensing techniques for studying coastal ecosystems: an overview. J Coast Res 27:2–17
McClain CR, Arrigo K, Esaias WE, Darzi M, Patt FS, Evans RH, Brown JW, Brown CW, Barnes RA, Kumar L (1995) SeaWiFS algorithms. Part 1, NASA Tech. Memo 104566, vol. 28. In: Hooker SB, Firestone ER, Acker JG (eds) NASA Goddard Space Flight Center, Greenbelt, pp 76
Nagata H, Nakura N (1993) Seasonal changes of river discharge and chlorophyll a concentration in Toyama Bay, Southern Japan Sea. Bull Jpn Sea Natl Fish Res Inst 43:55–68 (In Japanese with English abstract)
Nixon SW (2009) Eutrophication and the macroscope. Hydrobiologia 629:5–19
NOWPAP CEARAC (2009) Procedures for assessment of eutrophication status including evaluation of land-based sources of nutrients for the NOWPAP region, pp 13
Ohnishi M, Ishizaka J, Kasahara H, Nagata H, Shirayama H, Uchiyama I, Terauchi G (2007) Chlorophyll-a distribution in Toyama Bay, Japan, during 1998 and 1999 as observed by Ocean color satellite. Oceanogr Jpn 16:7–22 (In Japanese with English abstract)
OSPAR Commission (2003) OSPAR integrated report 2003 on the eutrophication status of the OSPAR marinetime area based upon the first application of the comprehensive procedure. OSPAR Eutrophication Series, publication 189/2003. OSPAR Commission, London, pp 59
Parsons TR, Takahashi M, Hargrave B (1984) Biological oceanographic processes, 3rd edn. Pergamon Press, Oxford, pp 330
Ryther JH (1954) The ecology of phytoplankton blooms in Moriches Bay and Great South Bay, Long Island, New York. Biol Bull 106:198–209
Siswanto E, Tang J, Yamaguchi H, Ahn Y, Ishizaka J, Yoo S, Kim S, Kiyomoto Y, Yamada K, Chiang C, Kawamura H (2011) Empirical ocean color algorithms to retrieve chlorophyll-a, total suspended matter, and colored dissolved organic matter absorption coefficient in the Yellow and East China Seas. J Oceanogr 67(5):627–650. doi:10.1007/s10872-011-0062-z
Terauchi G, Ishizaka J (2007) Eutrophication monitoring by satellite remote sensing in Toyama Bay. Bull Coast Oceanogr 45:43–49 (In Japanese with English abstract)
Toyama Bay Water Quality Conservation Research Committee (2001) Toyama Bay Water Quality Conservation Research Committee—the pollution of water in Toyama Bay. Civic Affairs, Environment and Culture Department, Toyama Prefecture
Tsujimoto R (2009) Spatial distribution of salinities and nutrient concentrations in the surface seawater in Toyama Bay coastal area. Bull Toyama Fish Res Inst 1:7–22 (In Japanese with English abstract)
Wei H, He Y, Li Q, Liu Z, Wang H (2007) Summer hypoxia adjacent to the Changjiang Estuary. J Mar Syst 67:292–303
Yamada K, Ishizaka J, Yoo S, Kim H, Chiba S (2004) Seasonal and interannual variability of sea surface chlorophyll a concentration in the Japan/East Sea (JES). Prog Oceanogr 61:193–211
Acknowledgments
We would like to thank NASA OBPG for providing ocean color satellite data and the Toyama Prefectural Government for providing in situ data, and Eric Stewart for final draft English editing. This study was supported by the Ministry of the Environment of Japan.
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Terauchi, G., Tsujimoto, R., Ishizaka, J. et al. Preliminary assessment of eutrophication by remotely sensed chlorophyll-a in Toyama Bay, the Sea of Japan. J Oceanogr 70, 175–184 (2014). https://doi.org/10.1007/s10872-014-0222-z
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DOI: https://doi.org/10.1007/s10872-014-0222-z