Strength and uncertainty of phytoplankton metrics for assessing eutrophication impacts in lakes

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• 作者：L. Carvalho (1)
  S. Poikane (2)
  A. Lyche Solheim (3)
  G. Phillips (4)
  G. Borics (5)
  J. Catalan (6)
  C. De Hoyos (7)
  S. Drakare (8)
  B. J. Dudley (1)
  M. J?rvinen (9)
  C. Laplace-Treyture (10)
  K. Maileht (11)
  C. McDonald (1)
  U. Mischke (12)
  J. Moe (3)
  G. Morabito (13)
  P. N?ges (11)
  T. N?ges (11)
  I. Ott (11)
  A. Pasztaleniec (14)
  B. Skjelbred (3)
  S. J. Thackeray (15)
  
• 关键词：Ecological indicator ; Eutrophication ; Water Framework Directive (WFD) ; Chlorophyll ; Cyanobacteria ; Trophic index
• 刊名：Hydrobiologia
• 出版年：2013
• 出版时间：March 2013
• 年：2013
• 卷：704
• 期：1
• 页码：127-140
• 全文大小：290KB
• 参考文献：1. Bennion, H., 1994. A diatom-phosphorus transfer-function for shallow, eutrophic ponds in Southeast England. Hydrobiologia 276: 391-10.
  2. Birk, S., J. Strackbein & D. Hering, 2010. WISER methods database. Version: March 2011. http://www.wiser.eu/results/method-database/.
  3. Birk, S., W. Bonne, A. Borja, S. Brucet, A. Courrat, S. Poikane, A. Solimini, W. van de Bund, N. Zampoukas & D. Hering, 2012. Three hundred ways to assess Europe’s surface waters: an almost complete overview of biological methods to implement the Water Framework Directive. Ecological Indicators 18: 31-1. CrossRef
  4. Borics, G., A. Abonyi, E. Krasznai, G. Várbíró, I. Grigorszky, S. Szabó, C. Deák & B. Tóthmérész, 2011. Small-scale patchiness of the phytoplankton in a lentic oxbow. Journal of Plankton Research 33: 973-81. CrossRef
  5. Bresciani, M., D. Stroppiana, D. Odermatt, G. Morabito & C. Giardino, 2011. Assessing remotely sensed chlorophyll- / a for the implementation of the Water Framework Directive in European perialpine lakes. Science of the Total Environment 409: 3083-091. CrossRef
  6. Brettum, P., 1989. Alger som indikatorer p? Vannkvalitet i norske innsj?er Planteplankton. NIVA, Blindern, Oslo.
  7. Capblancq, J. & J. Catalan, 1994. Phytoplankton: which, and how much? In Margalef, R. (ed.), Limnology Now: A Paradigm of Planetary Problems. Elsevier Science B.V., New York: 9-6.
  8. Carlson, R. E., 1977. A trophic state index for lakes. Limnology and Oceanography 22: 361-69. CrossRef
  9. Carstensen, J., P. Henriksen & A. -S. Heiskanen, 2007. Summer algal blooms in shallow estuaries: definition, mechanisms, and link to eutrophication. Limnology and Oceanography 52: 370-84. CrossRef
  10. Carvalho, L., A. Solimini, G. Phillips, M. van den Berg, O.-P. Pietil?inen, A. Lyche-Solheim, S. Poikane & U. Mischke, 2008. Chlorophyll reference conditions for European intercalibration lake types. Aquatic Ecology 42: 203-11.
  11. Carvalho, L., C. A. Miller, E. M. Scott, G. A. Codd, P. S. Davies & A. N. Tyler, 2011. Cyanobacterial blooms: statistical models describing risk factors for national-scale lake assessment and lake management. Science of the Total Environment 409: 5353-358.
  12. Catalan, J., M. Ventura, A. Munné, C. Solà & J. M. Pagés, 2006. ECOES. Protocol d’avaluació de l’estat ecològic dels estanys. Agència Catalana de l’Aigua. Barcelona: 75?pp.
  13. Dokulil, M. T. & K. Teubner, 2000. Cyanobacterial dominance in lakes. Hydrobiologia 438: 1-2. CrossRef
  14. Dokulil, M. T. & K. Teubner, 2006. Bewertung der Phytoplanktonstruktur stehender Gew?sser gem?? der EU-Wasserrahmenrichtlinie: Der modifizierte Brettum-Index.-Dt. Ges. Limnol. (DGL), Tagungsbericht 2005 (Karlsruhe), 356-60, Werder.
  15. EC, 2000. Directive 2000/60/EC of the European Parliament and of the council of 23 October 2000 establishing a framework for community action in the field of water policy. Official Journal of the European Communities L327: 1-2.
  16. EC, 2008. Commission Decision of 30 October 2008 establishing, pursuant to Directive 2000/60/EC of the European Parliament and the Council, the values of the Member State monitoring system classifications as a result of the intercalibration exercise 2008/915/EC. Official Journal of the European Communities, L332/20. European Commission, Brussels.
  17. Garmendia, M., M. Revilla & L. Zarauz, 2012. Testing the usefulness of a simple automatic method for particles abundance and size determination to derive cost-effective biological indicators, in large monitoring networks. Hydrobiologia, this issue.
  18. Hering, D., R. K. Johnson, S. Kramm, S. Schmutz, K. Szoszkiewicz & P. F. M. Verdonschot, 2006. Assessment of European rivers with diatoms, macrophytes, invertebrates and fish: a comparative metric-based analysis of organism response to stress. Freshwater Biology 51: 1757-785.
  19. Hunter, P. D., A. N. Tyler, L. Carvalho, G. A. Codd & S. C. Maberly, 2010. Hyperspectral remote sensing of cyanobacterial pigments as indicators for cell populations and toxins in eutrophic lakes. Remote Sensing of the Environment 114: 2705-718. CrossRef
  20. Jansson, M., L. Persson, A. M. De Roos, R. I. Jones & L. J. Tranvik, 2007. Terrestrial carbon and intraspecific size-variation shape lake ecosystems. Trends in Ecology & Evolution 22: 316-22. CrossRef
  21. J?rvinen, M., S. Drakare, G. Free, A. Lyche-Solheim, G. Phillips, B. Skjelbred, U. Mischke, I. Ott, S. Poikane, M. S?ndergaard, A. Pasztaleniec, J. Van Wichelen & R. Portielje, 2012. Phytoplankton indicator taxa for reference conditions in lowland Northern and Central European lakes. Hydrobiologia, doi:10.1007/s10750-012-1315-6 .
  22. Jeppesen, E., J. P. Jensen, M. S?ndergaard, T. Lauridsen, L. J. Pedersen & L. Jensen, 1997. Top-down control in freshwater lakes: the role of nutrient state, submerged macrophytes and water depth. Hydrobiologia 342(343): 151-64. CrossRef
  23. Kamenir, Y. & G. Morabito, 2009. Lago Maggiore oligotrophication as seen from the long-term evolution of its phytoplankton taxonomic size structure. Journal of Limnology 68: 146-61. CrossRef
  24. Karr, J. R. & E. W. Chu, 1999. Restoring Life in Running Waters: Better Biological Monitoring. Island Press, Washington, DC: 206?pp.
  25. Lyche Solheim, A., C. K. Feld, S. Birk, G. Phillips, L. Carvalho, G. Morabito, U. Mischke, N. Willby, M. S?ndergaard, S. Hellsten, A. Kolada, J. B?hmer, O. Miler, M. Pusch, C. Argillier, E. Jeppesen, T. Lauridsen & S. Poikane, 2012. Comparison of common metrics for phytoplankton, macrophytes, macroinvertebrates and fish for ecological status assessment of European lakes: a synthesis from the WISER project Module 3. Hydrobiologia, this issue.
  26. Maileht, K., T. N?ges, P. N?ges, I. Ott, U. Mischke, L. Carvalho & B. J. Dudley, 2012. Water colour, phosphorus and alkalinity are the major determinants of the dominant phytoplankton species in European lakes. Hydrobiologia. doi:10.1007/s10750-012-1348-x .
  27. McGowan, S., G. Britton, E. Howarth & B. Moss, 1999. Ancient blue-green blooms. Limnology & Oceanography 44: 436-39. CrossRef
  28. Mischke, U., U. Riedmüller, E. Hoehn, I. Sch?nfelder & B. Nixdorf, 2008. Description of the German system for phytoplankton-based assessment of lakes for implementation of the EU Water Framework Directive (WFD). In Mischke, U. & B. Nixdorf (eds), Bewertung von Seen mittels Phytoplankton zur Umsetzung der EU-Wasserrahmenrichtlinie Gew?sserreport (Nr. 10), BTUC-AR 2/2008, ISBN 978-3-940471-06-2, University press, BTU Cottbus: 117-46.
  29. Mischke, U., L. Carvalho, C. McDonald, B. Skjelbred, A. Lyche Solheim, G. Phillips, C. de Hoyos, G. Borics, J. Moe & J. Pahissa, 2011. WISER Deliverable D3.1-2: Report on phytoplankton bloom metrics, March 2011. http://www.wiser.eu/results/deliverables/ or http://nora.nerc.ac.uk/.
  30. Moe, J., A. Schmidt-Kloiber, B. J. Dudley & D. Hering, 2012. The WISER way of organising ecological data from European rivers, lakes and transitional/coastal waters. Hydrobiologia. doi:10.1007/s10750-012-1337-0 .
  31. Nygaard, G., 1949. Hydrobiological studies of some Danish ponds and lakes II. The quotient hypothesis and some new or little known phytoplankton organisms. Det Kongelige Danske Videnskabernes Selskab, Biologiske Skrifter 7: 1-93.
  32. OECD, Organisation for Economic Co-operation and Development, 1982 Eutrophication of waters: monitoring, assessment and control. OECD, Paris.
  33. Ott, I., 2005. Phytoplankton as a tool to classify ecological status of lakes. Estonian experiences. In L??ne, A. & P. Heinonen (eds), Sampling. Presentations on Three Training Seminars about Quality Assurance, Biological Methods of Water Framework Directive and Waste Water Sampling Techniques, Suomen Ymp?rist?keskuksen moniste 328: 48-6.
  34. Padisák, J., G. Borics, I. Grigorszky & E. Soróczki-Pintér, 2006. Use of phytoplankton assemblages for monitoring ecological status of lakes within the Water Framework Directive: the assemblage index. Hydrobiologia 553: 1-4. CrossRef
  35. Phillips, G., O. P. Pietilainen, L. Carvalho, A. Solimini, A. Lyche Solheim & A. C. Cardoso, 2008. Chlorophyll–nutrient relationships of different lake types using a large European dataset. Aquatic Ecology 42: 213-26. CrossRef
  36. Phillips, G., B. Skjelbred, G. Morabito, L. Carvalho, A. Lyche Solheim, T. Andersen, U. Mischke, C. de Hoyos & G. Borics, 2010. WISER Deliverable D3.1-1: Report on phytoplankton composition metrics, including a common metric approach for use in intercalibration by all GIGs, August 2010. http://www.wiser.eu/results/deliverables/ or http://nora.nerc.ac.uk/.
  37. Phillips, G., A. Lyche Solheim, B. Skjelbred, U. Mischke, S. Drakare, G. Free, M. J?rvinen, C. de Hoyos, G. Morabito, S. Poikane & L. Carvalho, 2012. A phytoplankton trophic index to assess the status of lakes for the Water Framework Directive. Hydrobiologia. doi:10.1007/s10750-012-1390-8 .
  38. Poikane, S. (ed.), 2009. Water Framework Directive intercalibration technical report. Part 2: Lakes. EUR 23838 EN/2, Office for Official Publications of the European Communities, Luxembourg.
  39. Poikane, S., M. Helena Alves, C. Argillier, M. Van Den Berg, F. Buzzi, E. Hoehn, C. de Hoyos, I. Karottki, C. Laplace-Treyture, A. Lyche Solheim, J. Ortiz-Casas, I. Ott, G. Phillips, A. Pilke, J. Pádua, S. Remec-Rekar, U. Riedmüller, J. Schaumburg, M. Luisa Serrano, H. Soszka, D. Tierney, G. Urbani? & G. Wolfram, 2010. Defining chlorophyll- / a reference conditions in European lakes. Environmental Management 45: 1286-298. CrossRef
  40. Poikane, S., M. van den Berg, C. de Hoyos, S. Hellsten, J. Ortiz-Casas, K. Pall, R. Portielje, G. Phillips, A. Lyche Solheim, D. Tierney, G. Wolfram & W. van de Bund, 2011. Lake ecological assessment systems and intercalibration for the European Water Framework Directive: aims, achievements and further challenges. Procedia Environmental Sciences 9: 153-68. CrossRef
  41. Reynolds, C. S., 1984. The ecology of freshwater phytoplankton. Cambridge University Press, Cambridge.
  42. Reynolds, C. S., 1998. What factors influence the species composition of phytoplankton in lakes of different trophic status? Hydrobiologia 370: 11-6. CrossRef
  43. Reynolds, C. S., V. Huszar, C. Kruk, L. Naselli-Flores & S. Melo, 2002. Towards a functional classification of the freshwater phytoplankton. Journal of Plankton Research 24: 417-28. CrossRef
  44. Salmaso, N. & J. Padisak, 2007. Morpho-Functional Groups and phytoplankton development in two deep lakes (Lake Garda, Italy and Lake Stechlin, Germany). Hydrobiologia 578: 97-12. CrossRef
  45. Salmaso, N., G. Morabito, F. Buzzi, L. Garibaldi, M. Simona & R. Mosello, 2006. Phytoplankton as an indicator of the water quality of the deep lakes south of the Alps. Hydrobiologia 563: 167-87. CrossRef
  46. Schmidt-Kloiber, A., J. Moe, B. Dudley, J. Strackbein & R. Vogl, 2012. The WISER metadatabase: the key to more than 100 ecological datasets from European rivers, lakes and coastal waters. Hydrobiologia. doi:10.1007/s10750-012-1295-6 .
  47. S?ndergaard, M., E. Jeppesen, J. P. Jensen & S. L. Amsinck, 2005. Water Framework Directive: ecological classification of Danish lakes. Journal of Applied Ecology 42: 616-29. CrossRef
  48. S?ndergaard, M., S. E. Larsen, T. B. J?rgensen & E. Jeppesen, 2011. Using chlorophyll / a and cyanobacteria in the ecological classification of lakes. Ecological Indicators 11: 1403-412. CrossRef
  49. Swedish EPA, 2010. Status, potential and quality requirements for lakes, watercourses, coastal and transitional waters: a handbook on how quality requirements in bodies of surface water can be determined and monitored. Swedish Environmental Protection Agency Handbook 2007:4, ver. 1, Stockholm: 421?pp.
  50. Thackeray, S. J., P. N?ges, M. Dunbar, B. J. Dudley, B. Skjelbred, G. Morabito, L. Carvalho, G. Phillips & U. Mischke, 2011. WISER Deliverable D3.1-3: Uncertainty in Lake Phytoplankton Metrics, June 2011. http://www.wiser.eu/results/deliverables/ or http://nora.nerc.ac.uk/.
  51. Thackeray, S. J., M. J. Dunbar, C. McDonald & B. J. Dudley, 2012a. Annex 2: WISER temporal uncertainty analysis for phytoplankton. In Mischke et al. 2012a. Deliverable D3.1-4: Guidance document on sampling, analysis and counting standards for phytoplankton in lakes. WISER Deliverable D3.1-4, February 2012. http://www.wiser.eu/results/deliverables/ or http://nora.nerc.ac.uk/.
  52. Thackeray, S. J., P. N?ges, M. J. Dunbar, B. J. Dudley, B. Skjelbred, G. Morabito, L. Carvalho, G. Phillips, U. Mischke, J. Catalan, C. de Hoyos, C. Laplace, M. Austoni, B. M. Padeddal, K. Maileht, A. Pasztaleniec, M. J?rvinen & A. Lyche Solheim, 2012b. Quantifying uncertainties in biologically-based water quality assessment: a pan-European analysis of phytoplankton community metrics. Ecological Indicators, In press.
  53. Tuvikene, L., T. N?ges & P. N?ges, 2011. Why do phytoplankton species composition and “traditional-water quality parameters indicate different ecological status of a large shallow lake? Hydrobiologia 660: 3-5. CrossRef
  54. Watson, S. B., E. McCauley & J. A. Downing, 1997. Patterns in phytoplankton taxonomic composition across temperate lakes of different nutrient status. Limnology and Oceanography 42: 487-95. CrossRef
  55. Wolfram, G., C. Argillier, J. De Bortoli, G. Buzzi, M. T. Dokulil, E. Hoehn, A. Marchetto, P. J. Martinez, G. Morabito, M. Reichmann, S. Remec-Rekar, U. Riedmüller, C. Rioury, J. Schaumburg, L. Schulz & G. Urbanic, 2009. Reference conditions and WFD compliant class boundaries for phytoplankton biomass and chlorophyll- / a in Alpine lakes. Hydrobiologia 633: 45-8. CrossRef
  56. Woodward, G., D. M. Perkins & L. E. Brown, 2010. Climate change and freshwater ecosystems: impacts across multiple levels of organization. Philosophical Transactions of the Royal Society B 365: 2093-106. CrossRef
  57. Wunsam, S. & R. Schmidt, 1995. A diatom-phosphorus transfer function for Alpine and pre-alpine lakes. Memorie dell’Istituto Italiano di Idrobiologia 53: 85-9.
  
• 作者单位：L. Carvalho (1)
  S. Poikane (2)
  A. Lyche Solheim (3)
  G. Phillips (4)
  G. Borics (5)
  J. Catalan (6)
  C. De Hoyos (7)
  S. Drakare (8)
  B. J. Dudley (1)
  M. J?rvinen (9)
  C. Laplace-Treyture (10)
  K. Maileht (11)
  C. McDonald (1)
  U. Mischke (12)
  J. Moe (3)
  G. Morabito (13)
  P. N?ges (11)
  T. N?ges (11)
  I. Ott (11)
  A. Pasztaleniec (14)
  B. Skjelbred (3)
  S. J. Thackeray (15)
  
  1. Centre for Ecology & Hydrology, Bush Estate, Penicuik, EH26 0QB, Midlothian, UK
  2. Institute for Environment & Sustainability, EC Joint Research Centre (JRC), Ispra, Italy
  3. Norsk Institutt for Vannforskning (NIVA), Gaustadalléen 21, Oslo, 0349, Norway
  4. Environment Agency, Kings Meadow House, Kings Meadow Road, Reading, RG1 8DQ, UK
  5. Department of Tisza Research, Balaton Limnological Institute, Centre for Ecological Research, Hungarian Academy of Sciences, 18/c. Bem square, Debrecen, 4026, Hungary
  6. Centre for Advanced Studies of Blanes (CEAB-CSIC), Accés Cala St. Francesc 14, 17300, Blanes, Spain
  7. Centro de Estudios Hidrográficos del CEDEX, PO Bajo de la Virgen del Puerto, 3, 28005, Madrid, Spain
  8. Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences (SLU), P.O. Box 7050, 75007, Uppsala, Sweden
  9. Finnish Environment Institute (SYKE), The Jyv?skyl? Office, Survontie 9, 40500, Jyv?skyl?, Finland
  10. Irstea, UR REBX, 50 Avenue de Verdun, 33612, Cestas Cedex, France
  11. Estonian University of Life Sciences, Institute of Agricultural and Environmental Sciences, Centre for Limnology, 61117 Rannu Parish, Tartu County, Estonia
  12. Department of Shallow Lakes and Lowland Rivers, Leibniz-Institute of Freshwater Ecology and Inland Fisheries (IGB), Justus-von-Liebig-Str. 7, 12489, Berlin, Germany
  13. CNR Institute for Ecosystems Study, Largo V. Tonolli 50, 28922, Verbania Pallanza, Italy
  14. Institute of Environmental Protection-National Research Institute, 01-692 Warszawa, Kolektorska 4, Poland
  15. Centre for Ecology & Hydrology, Lancaster Environment Centre, Library Avenue, Bailrigg, Lancaster, LA1 4AP, UK
  
• ISSN：1573-5117

文摘

Phytoplankton constitutes a diverse array of short-lived organisms which derive their nutrients from the water column of lakes. These features make this community the most direct and earliest indicator of the impacts of changing nutrient conditions on lake ecosystems. It also makes them particularly suitable for measuring the success of restoration measures following reductions in nutrient loads. This paper integrates a large volume of work on a number of measures, or metrics, developed for using phytoplankton to assess the ecological status of European lakes, as required for the Water Framework Directive. It assesses the indicator strength of these metrics, specifically in relation to representing the impacts of eutrophication. It also examines how these measures vary naturally at different locations within a lake, as well as between lakes, and how much variability is associated with different replicate samples, different months within a year and between years. On the basis of this analysis, three of the strongest metrics (chlorophyll-a, phytoplankton trophic index (PTI), and cyanobacterial biovolume) are recommended for use as robust measures for assessing the ecological quality of lakes in relation to nutrient-enrichment pressures and a minimum recommended sampling frequency is provided for these three metrics.