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Macrophyte functional variables versus species assemblages as predictors of trophic status in flowing waters

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Abstract

A series of models was developed using functionally-derived variables (mainly based on morphological attributes of freshwater macrophytes) to predict the trophic status of river and associated channel systems. The models were compared with an existing species-assemblage based procedure for predicting British river trophic conditions (the Macrophyte Trophic Ranking scheme, MTR). We compared sites in cooler temperate conditions (in Scotland) and warmer, sub-tropical conditions (in Egypt). In total, we made measurements of 13 traits from >600 individual plant specimens of 33 species growing at 42 sites (divided into independent input and test site datasets). N status (as annual mean concentration in water of total oxidised nitrogen, TON) was only very poorly predicted by this approach. However, P (as annual mean concentration in water of soluble reactive phosphate, SRP) was better predicted: both by a model based on MTR (r = −0.585, p<0.001), and by models using functional attributes of the macrophyte vegetation. River Trophic Status Indicator (RTSI) models based on ranked plant functional group relationship to river water P concentrations (RTSIFG), or field-measured trait sets of the plants (RTSITR) could also individually explain up to about 34% of the variation in P, both for the total dataset and for subsets from Egypt or Scotland alone or for high v. low-flow sites. Combining both types of RTSI measure produced the most powerful predictive model (r = 0.72, p<0.001), explaining just over half the variability in P.

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References

  • Abernethy, V. J. A., 1994. The functional ecology of euhydrophyte communities of European riverine wetland ecosystems. Ph.D. Thesis, Univ. Glasgow: 265 pp.

  • Agami, M., 1989. Effects of water pollution on plant species composition along the Amal River, Israel. Arch. Hydrobiol. 100: 445–454.

    Google Scholar 

  • Ali, M. M. & M. E. Soltan, 1996. The impact of three industrial effluents on submerged aquatic plants in the River Nile, Egypt. Hydrobiologia 340: 77–83.

    Google Scholar 

  • Ali, M. M., A. Hamad, I. V. Springuel & K. J. Murphy, 1995. Environmental factors affecting submerged macrophyte communities in regulated waterbodies in Egypt. Arch. Hydrobiol. 133: 107–128.

    Google Scholar 

  • APHA (American Public Health Association), 1980. Standard Methods for the Examination of Water and Waste Water. 16th edn. American Public Health Association. New York: 1268 pp.

    Google Scholar 

  • Barko, J. W., D. Gunnison & S. R. Carpenter, 1991. Sediment interactions with submerged macrophyte growth and community dynamics. Aquat. Bot. 41: 41–65.

    Google Scholar 

  • Bini, L. M., S. M., Thomaz, K. J. Murphy & A. F. M. Camargo, 1999. Aquatic macrophyte distribution in relation to water and sediment conditions in the Itaipu Reservoir, Brazil. Hydrobiologia 415 (Dev. Hydrobiol. 147): 147–154.

    Google Scholar 

  • Caffrey, J. M., 1985. A scheme for the assessment of water quality using aquatic macrophytes as indicators. J. Life Sci. R. Dubl. Soc. 5: 105–111.

    Google Scholar 

  • Caffrey, J. M., 1986. Macrophytes as biological indicators of organic pollution in Irish rivers. In Richardson, D. H. S. (ed.), Biological Indicators of Pollution. Royal Irish Academy, Dublin: 77–87.

    Google Scholar 

  • Daniel, H. & J. Haury, 1996. Ecology of aquatic macrophytes in an Armorican river (the River Scorff, Southern Brittany, France), application to bioindication. Ecologie (Brunoy) 27: 245–256.

    Google Scholar 

  • De Lange, L. & J. C. J. Van Zon, 1983. A system for the evaluation of aquatic biotopes based on the composition of the macrophytic vegetation. Biol. Conserv. 25: 273–284.

    Google Scholar 

  • Demars, B., 1997. Classification des hydrophytes sur la base des traits de l'histoire de vie. Thesis, DEA, Univ. Paris XI and Univ. Glasgow: 25 pp.

    Google Scholar 

  • Ellenberg, H., 1973. Chemical data and aquatic vascular plant as indicator for pollution in the Moosach river system near Munich. Arch. Hydrobiol. 72: 533–549.

    Google Scholar 

  • Environment Agency, 1996. Methodology for the assessment of freshwater riverine macrophytes for the purposes of the UrbanWasteWater Treatment Directive. Version 2. Environment Agency, Bristol, U.K: 34 pp.

    Google Scholar 

  • Gauch, H. G. 1982. Multivariate analysis in community ecology. Cambridge University Press, Cambridge, U.K: 298 pp.

    Google Scholar 

  • Gordon, A. D., 1981. Classification: Methods for the Exploratory Analysis of Multivariate Data. Chapman & Hall, London: 193 pp.

    Google Scholar 

  • Grime, J. P., J. G. Hodgson & R. Hunt, 1988. Comparative plant ecology. Unwin Hyman, London, 742 pp.

    Google Scholar 

  • Haslam S.M. & P.A. Wolseley, 1981. River Vegetation: its Identification, Assessment and Management. Cambridge University Press, Cambridge.

    Google Scholar 

  • Haslam, S. M., J. P. C. Harding & D. H. N. Spence, 1987. Methods for the use of aquatic macrophytes for assessing water quality 1985–86. In Methods for Examination of Waters and Associated Materials. HMSO, London.

    Google Scholar 

  • Haury, J., 1996. Assessing functional typology involving water quality, physical features and macrophytes in a Normandy river. Hydrobiologia 340: 43–49.

    Google Scholar 

  • Haury, J. & M.-C. Peltre, 1993. Intérêts et limites des 'indices macrophytes' pour qualifier la mésologie et la physico-chimie des cours d'eau: exemples armoricains, picards et lorrains. Annls. Limnol. 29: 239–253.

    Google Scholar 

  • Haury, J., M.-C. Peltre, S. Muller, M. Tremolieres, A. Dutartre & M. Gherlesquin, 1996). Macrophyte indices for the assessment of stream water quality in France: preliminary proposals. Ecologie (Brunoy) 27: 233–244.

    Google Scholar 

  • Hills, J. M., K. J. Murphy, I. D. Pulford & T. H. Flowers, 1994. A method for classifying European riverine wetland ecosystems using functional vegetation groups. Funct. Ecol. 8: 242–252.

    Google Scholar 

  • Holmes, N. T. H., 1983. Focus on Nature Conservation. 4. Typing British Rivers according to their flora. Nature Conservancy Council, Shrewsbury, U.K.

    Google Scholar 

  • Husak, S. & V. Vorechovska, 1996. Stream vegetation in different landscape types. Hydrobiologia 340: 141–145.

    Google Scholar 

  • Jongman, R. G. H., C. J. F. Ter Braak & O. F. R. van Tongeren, 1995. Data Analysis in Community and Landscape Ecology. Cambridge University Press, Cambridge: 299 pp.

    Google Scholar 

  • Kohler, A., 1975. MacrophytischeWasserpflanzen als Bioindikatorn für Belastungen von Fliessgewässerökosystemen. Verh. Ökologie, Wien 3: 255–276.

    Google Scholar 

  • Kohler, A. & S. Schiele, 1984. Versauerungsresisternz submerser Makrophyten in Gewässerversauerung in der Bundesrepublik Deutschland. Matierialien 1/84. Erich Scmidt Verlag, Berlin: 353–369.

    Google Scholar 

  • Krzanowski, W. J. & Y. T. Lai, 1988. A criterion for determining the number of groups in a data-set using sum-of-squares clustering. Biometrics 44: 23–34.

    Google Scholar 

  • Leishman, M.R. & M. Westoby, 1992. Classifying plants into groups on the basis of associations of individual traits - evidence from Australian semi-arid woodlands. J. Ecol. 80: 417–424.

    Google Scholar 

  • McIntyre, S., S. Lavorel & R. M. Tremont, 1995. Plant lifehistory attributes: their relationship to disturbance response in herbaceous vegetation. J. Ecol. 83: 31–44.

    Google Scholar 

  • Moore, B. C., J. E. Lafer & W. H. Funk, 1994. Influence of aquatic macrophytes on phosphorus and sediment porewater chemistry in a freshwater wetland. Aquat. Bot. 49: 137–148.

    Google Scholar 

  • Murphy, K. J., B. Rørslett & I. Springuel, 1990. Strategy analysis of submerged lake macrophyte communities: an international example. Aquat. Bot. 36: 303–323.

    Google Scholar 

  • Newbold, C. & N. T. H. Holmes, 1987. Nature conservation: water quality criteria and plants as water quality monitors. Water Pollut. Contr. 86: 345–364.

    Google Scholar 

  • OECD, 1982. Eutrophication of waters: monitoring, assessment and control. Organisation for Economic Cooperation and Development, Paris, France.

    Google Scholar 

  • Payne, R. W., P. W. Lane, P. G. N. Digby, S. A. Harding, P. K. Leech, G. W. Morgan, A. D. Todd, R. Thompson, G. Tunnicliffe Wilson, S. J. Welham & R.P. White, 1993. GENSTAT 5 Release 3 - Reference Manual. Clarendon Press, London: 796 pp.

    Google Scholar 

  • Robach, F., S. Merlin, T. Rolland & M. Tremolieres, 1996. Ecophysiological approach of water quality bioindicating using aquatic plant materials: the role of phosphorus. Ecologie (Brunoy) 27: 203–214.

    Google Scholar 

  • Schmedtje, U. & F. Kohmann, 1987. Bioindication by macrophytes - can macrophytes indicate saprobity? Arch. Hydrobiol. 109: 455–469.

    Google Scholar 

  • Spink, A. & K. J. Murphy, 1997. Distribution and environmental regulation of Batrachian Ranunculus in British rivers. Arch. Hydrobiol. 139: 509–525.

    Google Scholar 

  • Springuel, I. & K. J. Murphy, 1991. Euhydrophyte communities of the River Nile and its impoundments in Egyptian Nubia. Hydrobiologia 218: 35–47.

    Google Scholar 

  • Standing Committee of Analysts, 1987. Methods for the use of aquatic macrophytes for assessing water quality 1985–86. HMSO, London.

    Google Scholar 

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Ali, M.M., Murphy, K.J. & Abernethy, V.J. Macrophyte functional variables versus species assemblages as predictors of trophic status in flowing waters . Hydrobiologia 415, 131–138 (1999). https://doi.org/10.1023/A:1003833419359

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