Relationship between Vegetation Composition and Dissolved Nitrogen in Wetlands of Higashi-Hiroshima, West Japan

  • Miandoab, Azam Haidary (Division of Environmental Dynamics and Management, Graduate School of Biosphere Science, Hiroshima University) ;
  • Nakane, Kaneyuki (Division of Environmental Dynamics and Management, Graduate School of Biosphere Science, Hiroshima University)
  • Published : 2007.08.30


Twenty-four wetlands located in Higashi-Hiroshima City in West Japan were selected for this study in order to investigate both the relationship between aquatic plant composition and environmental conditions; and the relationship between changing land use patterns in the catchments and the concentration of different forms of nitrogen in the wetlands. The dominant and subdominant species which comprised the principal vegetation were determined based on a vegetation census conducted in each wetland during the growing season from June to August, 2006. The seasonal variations of water quality factors (pH, electrical conductivity, turbidity, dissolved oxygen, total dissolved solid, and temperature) and different forms of nitrogen such as nitrite, nitrate, ammonium, total nitrogen, dissolved organic nitrogen and dissolved inorganic nitrogen concentrations were analyzed as important indicators of water quality for the surface water of the wetlands. The surveyed wetlands were classified into three types (non-disturbed wetlands, moderately-disturbed wetlands and highly-disturbed wetlands), based on the degree of human disturbance to their catchment areas. An analysis of variance indicated that there was a significant difference among the wetland groups in the annual mean values of electrical conductivity, total dissolved solids, total nitrogen, nitrite, dissolved inorganic nitrogen and dissolved organic nitrogen. Classification of the wetlands into three groups has revealed a pattern of changes in the composition of plant species in the wetlands and a pattern of changes in nitrogen concentrations. A majority of the non-disturbed wetlands were characterized by Brasenia schrebi and Trapa bispinosa as dominant; with Potamogeton fryeri and Iris pesudacorus as sub-dominant species. For most of the moderately-disturbed wetlands, Brasenia schrebi were shown to be a dominant species; Elocheriss kuriguwai and Phragmites australis were observed as sub-dominant species. For a majority of the highly-disturbed wetlands, Typha latifolia and T. angustifolia were observed as dominant species, and Nymphea tetragona as the sub-dominant species in the study area. An analysis of land use and water quality factors indicated that forest area played a considerable role in reducing the concentration of nutrients, and can act as a sink for surface/subsurface nutrient inputs flowing into wetland water, anchor the soil, and lower erosion rates into wetlands.


  1. Amiri BJ, Nakane K. 2006. Modeling the relationship between land cover and river water quality in the Yamaguchi prefecture of Japan. J Ecol Field Biol 29 (4): 343-352
  2. APHA. 1995. Standard methods for the examination of water and wastewaters, 19th edition. American Public Health Association, Washington, DC, USA
  3. Berka C, Schreier H, Hall K. 2001. Linking water quality with agricultural intensification in a rural watershed. Water Air Soil Pollut 127: 389-401
  4. Bormann FH, Likens GE. 1979. Pattern and process in a forested ecosystem. Springer Verlag, New York, USA
  5. Brock MA. 2003. Australian wetland plants and wetlands in the landscape: Conservation of diversity and future management. Aquat Ecos Health manag 6(1): 29-40
  6. Castillo MM, Allan JD, Bronzel S. 2000. Nutrient concentrations and discharges in a Midwestern agricultural catchment. J Environ Qual 29: 1142-1151
  7. Crosbie B, Chow-Fraser P. 1999. Percentage land use in the watershed determines the water and sediment of 22 marshes in the Great Lakes basin. Can J Fish Aquat Sci 56: 1781-1791
  8. Currier JB. 1980. Evolution of nonpoint sources associated with silvicultural activities. In: Environmental Impact of Nonpoint Source Pollution (Overcash MR, Davidson JM eds). Ann Arbor Science, Ann Arbor, Michigan, USA
  9. Daley ML, McDowell WH. 2002. Relationship between dissolved organic nitrogen and watershed charateristics in a rural temperate basin, American Geophysical Union, Spring Meeting 2002, Washington D.C., USA
  10. Davidsson T, Kiehl K, Hoffmann CC. 2000. Guidelines for monitoring of wetland functioning. EcoSys 8: 5-50
  11. DeBusk WF. 1999. Nitrogen cycling in wetlands, Institute of Food and Agricultural Sciences. University of Florida, pdffiles/SS/SS30300.pdf Feb. 27, 2007
  12. Detenbeck NE, Taylor DL, Lima A, Hagley C. 1996. Temporal and spatial variability in water quality of wetlands in the Minneapolis/ St. Paul, MN metropolitan area: Implications for monitoring strategies and designs. Environ Monit Assess 40: 11-40
  13. ESRI (Environmental Systems Research Institute). 1999. ArcView GIS Software, Redlands, California, USA
  14. Gopal B. 1990. Wetland elements: biology and ecology. In: Wetlands and shallow continental water bodies (Patent C ed). SFB Academic Publishing, The Hague. pp 91-239
  15. Hitchcock CL, Cronquist A, Ownbey M, Thompson JW. 1964. Vascular plants of the pacific northwest part 2: Salicaceae to Saxifragaceae. University of Washington Press, Seattle, WA. 597 pp
  16. Houlahan JE, Findley CS. 2004. Estimating the 'critical' distance at which adjacent land-use degrades wetland water and sediment quality. Landscape Ecol 19: 677-690
  17. Jackson RD, Allen-Diaz B. 2001. Nitrogen Dynamics of Spring-fed Wetland Ecosystems of the Sierra Nevada Foothills Oak Woodland, the Fifth Symposium on Oak Woodlands: Oaks in California's Changing Landscape, October 22-25, 2001, San Diego, California. USA
  18. Jones KB, Neale AC, Nash MS, Van Remortel RD, Wickham JD, Riitters KH, O'Neill RV. 2001. Predicting nutrient and sediment loadings to streams from landscape metrics: A multiple watershed study from the United States Mid-Atlantic Region. Landscape Ecol 16: 301-312
  19. Kaste O, Henriksen A, Hindar A. 1997. Retention of atmosphericallyderived nitrogen in subcatchments of the Bjerkreim river in South- Western Norway. Ambio 26: 296-303
  20. Lee BA, Kwon J, Kim JG. 2005. The relationship of vegetation and environmental factors in Wangsuk stream and Gwarim Reservoir: I. Water Environments. Korean J Ecol 28(6): 365-373
  21. Lopez RD, Fennessy MS. 2002. Testing the floristic quality assessment index as an indicator of wetland condition. Ecol Appl 12(2): 487-497[0487:TTFQAI]2.0.CO;2
  22. Marsh WM. 1998. Landscape planning: environmental applications. 3rd ed. Wiley, New York
  23. McHale MR. Cirmo CP, Mitchell MJ, McDonnell JJ. 2004. Wetland nitrogen dynamics in an Adirondack forested watershed. Hydrol Process 18: 1853-1870
  24. Norton MM, Fisher TR. 2000. The effects of forest on stream water quality in two coastal plain watersheds of the Chesapeake Bay. Ecol Eng 14(4): 337-361
  25. Omernick JM, Abernathy AR, Male LM. 1981. Stream nutrient levels and proximity of agricultural and forest land streams: some relationships. J Soil Water Conserv 36: 227-231
  26. Redden PR, Lin XR, Fahey J, Horrobin DF. 1995. Stereospecific analysis of the major triacylglycerol species containing gamma-linolenic acid in evening primrose oil and borage oil. J Chromatogr 704: 99-111
  27. Salisbury FB, Ross CW. 1978. Plant physiology. Wadsworth, Belmont, CA
  28. Santamaria P, Elia A, Serio F, Gonnella M, Parente A. 1999. Comparison between nitrate and ammonium nutrition in fennel, celery, and Swiss chard. J Plant Nutr 22: 1091-1106
  29. Schwarz WL, Malanson GP, Weirich FH. 1996. Effect of landscape position on the sediment chemistry of abandoned channel wetlands. Landscape Ecol 11: 27-38
  30. Shimoda M. 1993. Effect of urbanization on pond vegetation in the Saijo Basin, Hiroshima Prefecture, Japan. Hikobia 11: 305-312
  31. Shimoda M, Hashimoto T. 1993. Water plant distribution and water quality of irrigation ponds. Bull Water Plant Soc Japan 49: 12-15. (In Japanese)
  32. Shimoda M. 1997. Differences among aquatic plant communities in irrigation ponds with differing environments. Japanese J Limnol 58(2): 157-172
  33. Tong STY, Chen W. 2002. Modeling the relationship between land use and surface water quality. J Environ Manage 66: 377-393
  34. U.S. EPA. 2002. Methods for evaluating wetland condition: Land-use characterization for nutrient and sediment risk assessment. Office of Water, U.S. Environmental Protection Agency, Washington, DC. EPA-822-R-02-025
  35. Vymazal J, Brix H, Cooper PF, Green MB, Haberl R. 1998. Constructed wetlands for wastewater treatment in Europe. Backhuys Publishers, Leiden, The Netherlands