Quantifying uncertainties in biologically-based water quality assessment: A pan-European analysis of lake phytoplankton community metrics

Ecological Indicators

Volumn 29, Issue , 2013, Pages 34-47

  Thackeray, Stephen J ^a   Nõges, Peeter ^b   Dunbar, Michael J ^a   Dudley, Bernard J ^a   Skjelbred, Birger ^c   Morabito, Giuseppe ^d   Carvalho, Laurence ^a   Phillips, Geoff ^e   Mischke, Ute ^f   Catalan, Jordi ^g   De Hoyos, Caridad ^h   Laplace, Christophe ⁱ   Austoni, Martina ^d   Padedda, Bachisio M ^j   Maileht, Kairi ^b   Pasztaleniec, Agnieszka ^k   Järvinen, Marko ^l   Solheim, Anne Lyche ^c   Clarke, Ralph T ^m  

^a CENTRE FOR ECOLOGY AND HYDROLOGY   (United Kingdom)

^b ESTONIAN UNIVERSITY OF LIFE SCIENCES   (Estonia)

^c NORWEGIAN INSTITUTE FOR WATER RESEARCH   (Norway)

^d CNR   (Italy)

^e ENVIRONMENT AGENCY   (United Kingdom)

^f LEIBNIZ INSTITUTE OF FRESHWATER ECOLOGY AND INLAND FISHERIES   (Germany)

^g CENTRE D ESTUDIS AVANÇATS DE BLANES CEAB CSIC   (Spain)

^h Centro de Estudios y Experimentacion de Obras Publicas   (Spain)

ⁱ CEMAGREF   (France)

^j UNIVERSITY OF SASSARI   (Italy)

^k INSTITUTE OF ENVIRONMENTAL PROTECTION NATIONAL RESEARCH INSTITUTE   (Poland)

^l FINNISH ENVIRONMENT INSTITUTE   (Finland)

^m BOURNEMOUTH UNIVERSITY   (United Kingdom)

more..

Author keywords

Cyanobacteria; Ecological quality assessment; Eutrophication; Linear mixed effects models; Multi model inference; Water Framework Directive

Indexed keywords

CYANOBACTERIA; ECOLOGICAL QUALITY; LINEAR MIXED-EFFECTS MODEL; MULTI-MODEL INFERENCE; WATER FRAMEWORK DIRECTIVES;

CHLOROPHYLL; ENVIRONMENTAL REGULATIONS; EUTROPHICATION; LAWS AND LEGISLATION; NUTRIENTS; PHYTOPLANKTON; UNCERTAINTY ANALYSIS; WATER CONSERVATION; WATER QUALITY;

LAKES;

BIOINDICATOR; CHLOROPHYLL A; CYANOBACTERIUM; ENVIRONMENTAL LEGISLATION; EUTROPHICATION; NUTRITIONAL STATUS; PHYTOPLANKTON; QUALITATIVE ANALYSIS; QUANTITATIVE ANALYSIS; UNCERTAINTY ANALYSIS; WATER QUALITY;

CYANOBACTERIA;

EID: 84872361936     PISSN: 1470160X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolind.2012.12.010     Document Type: Article

References (57)

1. K. Barton MuMIn: Multi-model Inference. R Package Version 1.0.0 2011 http://CRAN.R-project.org/package=MuMIn
2. D. Bates, M. Maechler, and B. Bolker lme4: Linear Mixed-effects Models using S4 Classes. R Package Version 0.999375-41 2011 http://CRAN.R-project.org/ package=lme4
3. S.A. Berger, S. Diehl, T.J. Kunz, D. Albrecht, A.M. Oucible, and S. Ritzer Light supply, plankton biomass, and seston stoichiometry in a gradient of lake mixing depths Limnol. Oceanogr. 51 2006 1898 1905 (Pubitemid 44185740)
4. Brierley, B., Carvalho, L., Davies, S., Krokowski, J., 2007. Guidance on the quantitative analysis of phytoplankton in freshwater samples. Report to SNIFFER (Project WFD80). Edinburgh.
5. C.D. Brown, M.V. Hoyer, R.W. Bachmann, and D.E. Canfield Jr. Nutrient-chlorophyll relationships: an evaluation of empirical nutrient-chlorophyll models using Florida and north-temperate lake data Can. J. Fish. Aquat. Sci. 57 2000 1574 1583
6. K.P. Burnham, and D.R. Anderson Model Selection and Multimodel Inference: A Practical Information-theoretic Approach 2002 Springer New York 488 pp.
7. L. Carvalho, L. Lepisto, J. Rissanen, O.-P. Pietiläinen, S. Rekolainen, L. Torok, A. Lyche Solheim, T. Saloranta, R. Ptacnik, G. Tartari, A.C. Cardoso, G. Premazzi, I. Gunn, E. Penning, J. Hanganu, S. Hellsten, I. Orhan, and I. Navodaru Nutrients and eutrophication in lakes A. Solimini, A.C. Cardoso, A.-S. Heiskanen, Indicators and Methods for the Ecological Status Assessment under the Water Framework Directive: Linkages between Chemical and Biological Quality of Surface Waters 2006 European Commission Luxembourg 3 32
8. L. Carvalho, S. Poikane, A. Lyche Solheim, G. Phillips, G. Borics, J. Catalan, C. De Hoyos, S. Drakare, B. Dudley, M. Jarvinen, C. Laplace-Treyture, K. Maileht, C. McDonald, U. Mischke, J. Moe, G. Morabito, P. Nõges, T. Nõges, I. Ott, A. Pasztaleniec, B. Skjelbred, and S. Thackeray Strength and uncertainty of lake phytoplankton metrics for assessing eutrophication impacts in lakes Hydrobiologia 2012 10.1007/s10750-012-1344-1 (online early)
9. CEN EN 15204 Water Quality - Guidance Standard for the Routine Analysis of Phytoplankton Abundance and Composition using Inverted Microscopy (Utermöhl Technique) 2006
10. R.T. Clarke, M.T. Furse, R.J.M. Gunn, J.M. Winder, and J.F. Wright Sampling variation in macroinvertebrate data and implications for river quality indices Freshwater Biol. 47 2002 1735 1751 (Pubitemid 35021985)
11. R.T. Clarke, J. Davy-Bowker, L. Sandin, N. Friberg, R.K. Johnson, and B. Bis Estimates and comparisons of the effects of sampling variation using national macroinvertebrate sampling protocols on the precision of metrics used to assess ecological status Hydrobiologia 566 2006 477 503 (Pubitemid 44078684)
12. R.T. Clarke, and D. Hering Errors and uncertainty in bioassessment methods - major results and conclusions from the STAR project and their application using STARBUGS Hydrobiologia 566 2006 433 439 (Pubitemid 44078681)
13. R.T. Clarke, A. Lorenz, L. Sandin, A. Schmidt-Kloiber, J. Strackbein, N.T. Kneebone, and P. Haase Effects of sampling and sub-sampling variation using the STAR-AQEM sampling protocol on the precision of macroinvertebrate metrics Hydrobiologia 566 2006 441 459 (Pubitemid 44078682)
14. R.T. Clarke Estimating confidence of European WFD ecological status class and WISER Bioassessment Uncertainty Guidance Software (WISERBUGS) Hydrobiologia 2012 10.1007/s10750-012-1245-3
15. M.J. Crawley The R Book 2007 Wiley Chichester 942 pp.
16. P.J. Dillon, and F.H. Rigler The phosphorus-chlorophyll relationship in lakes Limnol. Oceanogr. 19 1974 767 773
17. Dudley, B.J., Dunbar, M.J., Penning, E., Kolada, A., Hellsten, S., Kanninen, A., 2010. WISER Deliverable D3.2-2: Report on Uncertainty in Macrophyte Metrics, 29 pp.
18. EC 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 Off. J. Eur. Commun. L327 2000 1 72
19. J.A. Elliott, I.D. Jones, and S.J. Thackeray Testing the sensitivity of phytoplankton communities to changes in water temperature and nutrient load, in a temperate lake Hydrobiologia 559 2006 401 411 (Pubitemid 43207884)
20. D. Hering, A. Borja, J. Carstensen, L. Carvalho, M. Elliott, C.K. Feld, A.-S. Heiskanen, R.K. Johnson, J. Moe, D. Pont, A.L. Solheim, and W. van de Bund The European Water Framework Directive at the age of 10: a critical review of the achievements with recommendations for the future Sci. Total Environ. 408 2010 4007 4019
21. ISO 10260 Water Quality - Measurement of Biochemical Parameters - Spectrometric Determination of the Chlorophyll-a Concentration 1st ed. 1992 Int. Org. Standard. Geneva p. 6 (1992-07-15)
22. I. Jasser The influence of macrophytes on a phytoplankton community in experimental conditions Hydrobiologia 306 1995 21 32 (Pubitemid 26453271)
23. J. Kalff Limnology 2002 Prentice-Hall Inc. Upper Saddle River, NJ 592 pp.
24. Y. Kamenir, and G. Morabito Lago Maggiore oligotrophication as seen from the long-term evolution of its phytoplankton taxonomic size structure J. Limnol. 68 2009 146 161
25. R.E. Kümmerlin Taxonomical response of the phytoplankton community of Upper Lake Constance (Bodensee-Obersee) to eutrophication and re-oligotrophication Adv. Limnol. 53 1998 109 117 (Pubitemid 129168416)
26. E.B. Mackay, I.D. Jones, A.M. Folkard, and S.J. Thackeray Transition zones in small lakes: the importance of dilution and biological uptake on lake-wide heterogeneity Hydrobiologia 678 2011 85 97
27. G. Madgwick, I.D. Jones, S.J. Thackeray, J.A. Elliott, and H.J. Miller Phytoplankton communities and antecedent conditions: high resolution sampling in Esthwaite Water Freshwater Biol. 51 2006 1798 1810 (Pubitemid 44401118)
28. E. McCauley, J.A. Downing, and S. Watson Sigmoid relationships between nutrients and chlorophyll among lakes Can. J. Fish. Aquat. Sci. 46 1989 1171 1175
29. Mischke, U., Carvalho, L., McDonald, C., Skjelbred, B., Solheim, A.L., Phillips, G., de Hoyos, C., Borics, G., Moe, J., 2010. WISER Deliverable D3.1-2: Report on Phytoplankton Bloom Metrics, 45 pp. http://www.wiser.eu/.
30. J. Murphy, and J.P. Reilly A modified single solution method for the determination of phosphate in natural waters Anal. Chim. Acta 27 1962 31 36
31. Murphy, K.J., Kennedy, M.P., McCarthy, V., Ó'Hare, M.T., Irvine, K., Adams, C., 2002. A review of ecology based classification systems for standing freshwaters. SNIFFER Project Number: W(99)65, Environment Agency R&D Technical Report: E1-091/TR.
32. National Rivers Authority Test Methods and Procedures: Freshwater Phytoplankton 1995 National Rivers Authority Peterborough
33. J. Padisák, and C.S. Reynolds Selection of phytoplankton associations in Lake Balaton, Hungary, in response to eutrophication and restoration measures, with special reference to the cyanoprokaryotes Hydrobiologia 384 1998 41 53
34. G. Phillips, O.-P. Pietiläinen, L. Carvalho, A. Solimini, A. Lyche Solheim, and A.C. Cardoso Chlorophyll-nutrient relationships of different lake types using a large European dataset Aquat. Ecol. 42 2008 213 226
35. Phillips, G., Skjelbred, B., Morabito, G., Carvalho, L., Solheim, A.L., Andersen, T., Mischke, U., de Hoyos, C., Borics, G., 2010. WISER Deliverable D3.1-1: Report on Phytoplankton Composition Metrics, including a Common Metric Approach for Use in Intercalibration by all GIGs, 56 pp. http://www.wiser.eu /.
36. E.C. Pielou An Introduction to Mathematical Ecology 1969 Wiley-Interscience New York 294 pp.
37. E.C. Pielou Ecological Diversity 1975 Wiley Interscience New York 165 pp.
38. B. Pinel-Alloul, and A. Ghadouani Spatial heterogeneity of planktonic microorganisms in aquatic systems: multiscale patterns and processes R. Franklin, A. Mills, The Spatial Distribution of Microbes in the Environment 2007 Springer Dordrecht, The Netherlands
39. B. Pinel-Alloul, G. Méthot, G. Verrault, and Y. Vigneault Phytoplankton in Quebec lakes: variation with lake morphometry, and with natural and anthropogenic acidification Can. J. Fish. Aquat. Sci. 47 1990 1047 1057
40. J. Pinheiro, D. Bates, S. DebRoy, D. Sarkar, and R Development Core Team nlme: Linear and Nonlinear Mixed Effects Models. R Package Version 3 2010 pp. 1-97
41. R.D. Pridmore, W.N. Vant, and J.C. Rutherford Chlorophyll-nutrient relationships in North Island lakes (New Zealand) Hydrobiologia 121 1985 181 189 (Pubitemid 17245463)
42. R Development Core Team R: A Language and Environment for Statistical Computing 2011 R Foundation for Statistical Computing Vienna, Austria 3-900051-07-0 http://www.r-project.org/
43. C.S. Reynolds Ecology of Phytoplankton 2006 Cambridge University Press Cambridge
44. M. Sakamoto Primary production by phytoplankton community in some Japanese lakes and its dependence on lake depth Arch. Hydrobiol. 62 1966 1 28
45. N. Salmaso, and J. Padisak Morpho-functional groups and phytoplankton development in two deep lakes (Lake Garda, Italy and Lake Stechlin, Germany) Hydrobiologia 578 2007 97 112 (Pubitemid 46352484)
46. D.W. Schindler Factors regulating phytoplankton production and standing crop in the world's freshwaters Limnol. Oceanogr. 23 1978 478 486
47. P. Schriver, J. Bogestrand, E. Jeppesen, and M. Sondergaard Impact of submerged macrophytes on fish-zooplankton-phytoplankton interactions: large-scale enclosure experiments in a shallow eutrophic lake Freshwater Biol. 33 1995 255 270
48. V.H. Smith Predictive models for the biomass of blue-green algae in lakes Water Resour. Bull. 21 1985 433 439
49. V.H. Smith, E. Willen, and B. Karlsson Predicting the summer peak biomass of four species of blue-green algae (Cyanophyta/Cyanobacteria) in Swedish lakes Water Resour. Bull. 23 1987 397 402
50. M. Sondergaard, S.E. Larsen, T.B. Jorgensen, and E. Jeppesen Using chlorophyll a and cyanobacteria in the ecological classification of lakes Ecol. Indic. 11 2011 1403 1412
51. H. Utermöhl Zur Vervollkommnung der quantitativen Phytoplankton-Methodik Mitt. Int. Ver. Theor. Angew. Limnol. 9 1958 1 38
52. K. Vuorio, L. Lepistö, and A.-L. Holopainen Intercalibrations of freshwater phytoplankton analyses Boreal Environ. Res. 12 2007 561 569 (Pubitemid 350054874)
53. G.R. Warnes gplots: Various R Programming Tools for Plotting Data. R Package Version 2.8.0 2010 http://CRAN.R-project.org/package=gplots
54. S.B. Watson, E. McCauley, and J.A. Downing Patterns in phytoplankton taxonomic composition across temperate lakes of different nutrient status Limnol. Oceanogr. 42 1997 487 495 (Pubitemid 27422592)
55. WISE Water Note 7. Intercalibration: A Common Scale for Europe's Waters 2008 European Commission 2 pp.
56. S. Wium-Andersen, U. Anthoni, C. Christophersen, and G. Houen Allelopathic effects on phytoplankton bysubstances isolated from aquatic macrophytes (Charales) Oikos 39 1982 187 190 (Pubitemid 13283389)
57. A.F. Zuur, E.N. Ieno, N.J. Walker, A.A. Saveliev, and G.M. Smith Mixed Effects Models and Extensions in Ecology with R 2009 Springer New York 574 pp.