Data variability and uncertainty limits the capacity to identify and predict critical changes in coastal systems - A review of key concepts

Ocean and Coastal Management

Volumn 51, Issue 10, 2008, Pages 671-688

  Håkanson, Lars ^a   Duarte, Carlos M ^b  

^a UPPSALA UNIVERSITY   (Sweden)

^b INSTITUTO MEDITERRÁNEO DE ESTUDIOS AVANZADOS   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

EMPIRICAL DATA; PREDICTIVE POWER;

FORECASTING;

ALGORITHM; CONCENTRATION (COMPOSITION); DATA MANAGEMENT; ECOLOGY; NUMERICAL MODEL; REGRESSION ANALYSIS;

EID: 51649110844     PISSN: 09645691     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ocecoaman.2008.07.003     Document Type: Article

References (44)

1. Arhonditsis G., Eleftheriadou M., Karydis M., and Tsirtsis G. Eutrophication risk assessment in coastal embayments using simple statistical models. Mar Pollut Bull 46 (2003) 1174-1178
2. Beck M.B., and Van Straten G. Uncerteinty, system identification and the prediction of water quality (1983), Springer, Heidelberg 387 pp.
3. Box G.E.P., and Cox D.R. An analysis of transformations. J Royal Stat Soc, Ser B 26 (1964) 211-252
4. Burgess T.M., and Webster R. Optimal interpolation and isarithmic mapping of soil properties. I. The semi-variogram and punctual kriging. J Soil Sci 31 (1980) 315-331
5. Burgess T.M., and Webster R. Optimal interpolation and isarithmic mapping of soil properties. II. Block kriging. J Soil Sci. 31 (1980) 333-341
6. Burgess T.M., Webster R., and McBratney A.B. Optimal interpolation and isarithmic mapping of soil properties. IV. Sampling strategy. J Soil Sci 32 (1981) 643-659
7. Carpenter S.C. Regime shift in lake ecosystems: pattern and variation. Available from: (2003). http://limnology.wisc.edu/regime
8. Chilès J.P., and Chauvet P. Kriging: a method for cartography of the sea floor. Int Hydrographic Review 52 (1975) 25-41
9. Cliff A.D., and Ord J.K. Spatial autocorrelation (1973), Pion, London
10. Cox D.C., and Baybutt P. Methods for uncertainty analysis: a comparative survey. Risk Analysis 1 4 (1981) 251-258
11. Di Stefano J., Fidler F., and Cumming G. Effect size estimates and confidence intervals: an alternative focus for the presentation and interpretation of ecological data. In: Burk A.R. (Ed). New trends in ecology research (2005), Nova Science Publishers, New York 71-102
12. Draper N.R., and Smith H. Applied regression analysis (1966), Wiley, New York 352 pp.
13. Groffman P.M., Baron J.S., Blett T., Gold A.J., Goodman I., Gunderson L.H., et al. Ecological thresholds: the key to successful environmental management or an important concept with no practical application. Ecosystems 9 (2005) 1-13
14. Floderus S. Sediment sampling evaluated with a new weighting function and index of reliability. Hydrobiologia 176/177 (1989) 61-75
15. Haan C.T. Statistical methods in hydrology (1985), The Iowa State University Press, Ames, Iowa 378 pp.
16. Håkanson L. Sediment sampling in different aquatic environments: statistical aspects. Water Resources Research 20 (1984) 41-46
17. Håkanson L. Water pollution - methods and criteria to rank, model and remediate chemical threats to aquatic ecosystems (1999), Backhuys Publishers, Leiden 299 pp.
18. Håkanson L. Suspended particulate matter in lakes, rivers and marine systems (2006), The Blackburn Press, New Jersey 331 pp.
19. Håkanson L., and Bryhn A.C. Tools and criteria for sustainable coastal ecosystem management - with examples from the Baltic Sea and other aquatic systems (2008), Springer Verlag, Berling, Heidelberg 292 pp.
20. Håkanson L., and Eckhéll J. Suspended particulate matter (SPM) in the Baltic - new empirical data and models. Ecol Modelling 189 (2005) 130-150
21. Håkanson L., Kulinski I., and Kvarnäs H. Water dynamics and bottom dynamics in coastal areas (Vattendynamik och bottendynamik i kustzonen). [in Swedish]SNV PM 1905 (1984), Solna 228 pp.
22. Håkanson L., and Peters R.H. Predictive limnology. Methods for predictive modelling (1995), SPB Academic Publishing, Amsterdam 464 pp.
23. Håkanson L., and Rosenberg R. Practical coastal ecology (Praktisk kustekologi). SNV PM 1987 (1985), Solna 110 pp.
24. Håkanson L., Borg H., and Uhrberg R. Reliability of analyses of Hg, Fe, Ca, K, P, pH, alkalinity, conductivity, hardness and colour from lakes. Int Rev Ges Hydrobiol 75 (1990) 79-94
25. Helsel D.R., and Hirsch R.M. Statistical methods in water resources (1992), Elsevier, Amsterdam 522 pp.
26. IAEA. Evaluating the reliability of predictions made using environmental transfer models. Safety Series No. 100 (1989), International Atomic Energy Agency, Vienna
27. Mosteller F., and Tukey J.W. Data analysis and regression: a second cours in statistics (1977), Addison-Wesley Publ., Reading, Mass 588 pp.
28. Neter J., Wasserman W., and Whitmore G.A. Applied statistics. 3rd ed. (1988), Allyn and Bacon, Boston 1006 pp.
29. Newman M.C. Regression analysis of log-transformed data: statistical bias and its correction. Env Tox & Chem 12 (1993) 1129-1133
30. Nordvarg L. Predictive models and eutrophication effects of fish farms. Dr. thesis. Sweden: Uppsala University; 2001.
31. Pedersen O.B., Christiansen C., and Laursen M.B. Wind-induced long term increase and short term fluctuations of shallow water suspended matter and nutrient concentrations, Ringkøbing Fjord, Denmark. Ophelia 41 (1995) 273-287
32. Petersen J.K., Hansen J.W., Laursen M.B., and Conley D. Regime shift in a marine coastal ecosystem. Manuscript (2005), National Environmental Research Institute & County of Ringkjøbing
33. Pfaffenberger R.C., and Patterson J.H. Statistical methods (1987), Irwin, Illinois 1246 pp.
34. Pilesjö, P., Persson, J. and Håkanson, L., 1991. Digital bathymetric information for calculations of coast morphometrical parameters and surface water retention time [in Swedish with English summary]. SNV Report 3916. 76 pp.
35. Prairie Y. Evaluating the predictive power of regression models. Can J Fish Aquat Sci 53 (1996) 490-492
36. Rose K.A., McLean R.I., and Summers J.K. Development and Monte Carlo analysis of an oyster bioaccumulation model applied to biomonitoroing. Ecol Mod 45 (1989) 111-132
37. Sanchez-Arcilla A, Gomez J, Egozcue JJ, Ortego MI, Galiatsatou P, Prinos P. Extremes from scarce data: The role of Bayesian and scaling techniques in reducing uncertainty. J Hydraul Res, in press.
38. Sanchez-Arcilla A, González-Marco D, Doorn N, Kortenhaus A. Extreme values for coastal, estuarine and riverine environments. J Hydraul Res, in press.
39. Scheffer M. Multiplicity of stable states in freshwater systems. Hydrobiologia 200/201 (1990) 475-486
40. Scheffer M., Brock W., and Westley F. Socioeconomic mechanisms preventing optimum use of ecosystem services: an interdisciplinary theoretical analysis. Ecosystems 3 (2000) 451-4571
41. Tiwari J.L., and Hobbie J.E. Random differential equations as models of ecosystems. Monte Carlo simulation approach. Math Biosci 28 (1976) 25-44
42. Wallin M., Håkanson L., and Persson J. [in Swedish with English summary]. Load models for nutrients in coastal areas, especially from fish farms vol. 502 (1992), Nordiska ministerrådet, Copenhagen 207 pp.
43. Weston K., Jickells T.D., Fernand L., and Parker E.R. Nitrogen cycling in the southern North Sea: consequences for total nitrogen transport. Estuar Coast Shelf Sci 59 (2004) 559-573
44. Worley B.A. Deterministic uncertainty analysis. Report ORNL-6428 (1987), Oak Ridge National Laboratory, Oak Ridge, USA 53 pp.