Skip to main content
Article thumbnail
Location of Repository

Phytoplankton Classification Tool (Phase 2)

By L. Carvalho, B. Dudley, I. Dodkins, Ralph T. Clarke, Iwan Jones, S. Thackeray and S. Maberley
Topics: ges
Publisher: SNIFFER
Year: 2007
OAI identifier:

Suggested articles


  1. (1995). A diatom-phosphorus transfer function for Alpine and prealpine lakes.
  2. (1985). A simple method to estimate lake phosphorus concentrations resulting from natural background loadings. doi
  3. (1974). A test of a simple nutrient budget model predicting the phosphorus concentration in lake water. doi
  4. (2005). An application of canonical correspondence analysis for developing ecological quality assessment metrics for river macrophytes. doi
  5. (1999). Ancient blue-green blooms. doi
  6. (2007). APPENDIX I PHYTOPLANKTON COUNTING GUIDANCE Guidance on the quantitative analysis of phytoplankton in Freshwater Samples Bill Brierley 1, Laurence Carvalho 2,
  7. (2007). APPENDIX I PHYTOPLANKTON COUNTING GUIDANCE Guidance on the quantitative analysis of phytoplankton in Freshwater Samples Bill Brierley1, Laurence Carvalho2, Sian
  8. (2006). Biological quality of lakes: Phase II: Quantifying uncertainty associated with macroinvertebrate sampling methods for lake benthos, Environment Agency R&D
  9. (2002). Blue-Green Algae (Cyanobacteria) in Inland Waters: Assessment and Control of Risks to Public Health. Revised Guidance, Compiled by the Scottish Executive Health Department Blue-green Algae Working Group.
  10. (2002). CANOCO Reference Manual and CanoDraw for Windows User’s Guide: Software for Canononical Community Ordination (version 4.5).
  11. (1990). Current beliefs regarding dominance by blue-greens: the case for the importance of CO2 and pH. Verhandlungen Internationale Vereinigung Limnologie,
  12. (1973). Daphnia distributions within Langmuir circulations. doi
  13. (2006). Ecology of Phytoplankton. Cambridge: doi
  14. (1994). Effect of wind on the distribution of phytoplankton cells in lakes revisited. doi
  15. (2006). Effects of sampling and sub-sampling variation using the STARAQEM sampling protocol on The Precision Of Macroinvertebrate Metrics. doi
  16. (2006). Errors and uncertainty in bioassessment methods – major results and conclusions from the STAR project and their application using STARBUGS. doi
  17. (2006). Estimates and comparisons of the effects of sampling variation using European ‘national’ macroinvertebrate sampling protocols on the precision of metrics used to assess ecological status. doi
  18. (1982). Eutrophication of Water: Monitoring, Assessment and Control. Organisation for Economic Cooperation and Development, doi
  19. (2000). Freshwater Blooms, doi
  20. (1989). Lake restoration by reduction of nutrient loading. doi
  21. (2006). mCBASriv: A Method for Assessing the Ecological Status of Rivers Using Macrophytes. Scientific Summary v3.0, Internal Report to NSShare,
  22. (2002). Nutrient conditions for different levels of ecological status and biological quality in surface waters.
  23. (2006). Phosphorus Classifications for UK Lakes. Final Report to SNIFFER (Project WFD38),
  24. (2007). Physical and chemical-scales of pattern in fresh-water lakes and reservoirs.
  25. (2006). Phytoplankton Classification Tool for UK Lakes. Final Report to SNIFFER (Project WFD38),
  26. (2005). Proposed boundaries for Phytoplankton Biomass and supporting Phosphorus standards. Version 2. Lakes Task Team Paper 084,
  27. (2004). Risk Assessment Methodology for Determining Nutrient Impacts in Surface Freshwater Bodies. Environment Agency of England and Wales and Scottish Environment Protection Agency.
  28. (2002). Sampling variation in macroinvertebrate data and implications for river quality indices. doi
  29. (1988). Secchi Disk-Chlorophyll Relationships in a Lake with Highly Variable Phytoplankton Biomass. doi
  30. (2004). STARBUGS (STAR Bioassessment Uncertainty Guidance Software) User Manual.
  31. (1999). Statistical Analysis Methods for Biological Assessment. Appendix E
  32. (1976). Temporal and spatial distribution of the dinoflagellate Ceratium hirundinella O.F. Müller within a small productive lake. doi
  33. (2004). Terms and definitions The terms and definitions used are as those as described in “Water quality -Guidance standard on the enumeration of phytoplankton using inverted microscopy (Utermöhl technique)” CEN
  34. (1961). The algae of the Malham Tarn district. doi
  35. (1984). The Ecology of Freshwater Phytoplankton. Cambridge: doi
  36. The European Water Framework Directive (2000/60/EC) requires member states to monitor phytoplankton abundance and composition and a uniform procedure has been developed by CEN.
  37. (1995). The following guidance has been developed with reference to the CEN standard “Water quality - Guidance standard on the enumeration of phytoplankton using inverted microscopy (Utermöhl technique)” doi
  38. (2005). Uncertainty estimation for monitoring results by the WFD biological classification tools. 26pp. Environment Agency,
  39. (1998). Use of diatoms for evaluating ecological status in UK freshwaters. Environment Agency Science Report,
  40. (1997). Vegetation Processes in the Pelagic: A Model for Ecosystem Theory. Oldendorf: ECI Reynolds CS. doi
  41. (2005). Water Frameork Directive: ecological classification of Danish lakes. doi

To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.