Quantifying disturbances in benthic communities-comparison of the community disturbance index (CDI) to other multivariate methods

Ecological Indicators

Volumn 7, Issue 2, 2007, Pages 254-276

  Flåten, Geir Rune ^a   Botnen, Helge ^b   Grung, Bjørn ^a   Kvalheim, Olav M ^a  

^a UNIVERSITY OF BERGEN   (Norway)

^b Section of Applied Environmental Research   (Norway)

Author keywords

Community disturbance index (CDI); Environmental monitoring; Marine benthic analyses; Multivariate analysis; Pollution

Indexed keywords

BIODIVERSITY; CHEMICAL ANALYSIS; DATA REDUCTION; MATHEMATICAL MODELS; MICROBIOLOGY; SAMPLING;

COMMUNITY DISTURBANCE INDEX (CDI); ENVIRONMENTAL MONITORING; MARINE BENTHIC ANALYSES; MULTIVARIATE ANALYSIS;

ENVIRONMENTAL ENGINEERING;

AQUATIC COMMUNITY; BENTHOS; ENVIRONMENTAL DISTURBANCE; ENVIRONMENTAL MONITORING; ENVIRONMENTAL STRESS; MARINE ENVIRONMENT; MULTIVARIATE ANALYSIS; OIL FIELD;

ATLANTIC OCEAN; EKOFISK FIELD; NORTH SEA; OSEBERG FIELD; TROLL FIELD;

EID: 33846704987     PISSN: 1470160X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolind.2006.02.001     Document Type: Article

References (31)

1. Borg I., and Groenen P. Modern Multidimensional Scaling-Theory and Applications (1997), Springer, New York
2. Borja A., Franco J., and Pérez V. A marine biotic index to establish the ecological quality of soft-bottom benthos within European estuarine and coastal environments. Mar. Pollut. Bull. 40 12 (2000) 1100-1114
3. Borja A., Franco J., and Muxika I. The biotic indices and the Water Framework Directive: the required consensus in the new benthic monitoring tools. Mar. Pollut. Bull. 48 (2004) 405-408
4. Borja A., and Muxika I. Guidelines for the use of AMBI (AZTI's marine biotic index) in the assessment of the benthic ecological quality. Mar. Pollut. Bull. 50 (2005) 787-789
5. Bray J.R., and Curtis J.T. An ordination of the upland forest communities of southern Wisconsin. Ecol. Monogr. 27 (1957) 325-349
6. Clarke K.R. Comparison of dominance curves. J. Exp. Mar. Biol. Ecol. 138 1-2 (1990) 130-143
7. Clarke K.R., and Warwick R.M. Change in Marine Communities: An Approach to Statistical Analysis and Interpretation (1994), Plymouth Marine Laboratory, UK
8. Diaz R.J., Solan M., and Valente R.M. A review of approaches for classifying benthic habitats and evaluating habitat quality. J. Environ. Manage. 73 (2004) 165-181
9. Everitt B. Cluster Analysis. 2nd ed. (1980), Heinemann, London
10. Flåten, G.R., 2002. Dynamic environmental monitoring by means of multivariate modelling. Ph.D. Thesis. University of Bergen, Norway.
11. Flåten G.R., Grung B., and Kvalheim O.M. A method for validation of reference sets in SIMCA modelling. Chem. Intell. Lab. Syst. 72 (2004) 101-109
12. Gauch H.G., Whittaker R.H., and Wentworth T.R. A comparative study of reciprocal averaging and other ordination techniques. J. Ecol. 65 (1977) 157-174
13. Gray J.S. The measurement of marine species diversity, with an application to the benthic fauna of the Norwegian continental shelf. J. Exp. Mar. Biol. Ecol. 250 (2000) 23-49
14. Hirschfeld H.O. A connection between correlation and contigency. Proc. Camb. Philos. Soc. 31 (1935) 520-524
15. Hotelling H. Analysis of a complex of statistical variables into principal components. J. Educ. Psychol. 24 (1933) 417-444 and 498-520
16. Hurlbert. The nonconcept of species diversity-a critique and alternative parameters. Ecology 52 (1971) 577-586
17. Johnson R.A., and Wichern D.W. Applied Multivariate Statistical Analysis. 3rd ed. (1992), Prentice Hall, New Jersey
18. Jongmann R.H.G., Ter Braak C.J.F., and Van Tongeren O.F.R. Data Analysis in Community and Landscape Ecology (1995), Cambridge University Press, Cambridge, UK
19. Kruskal J.B. Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis. Psychometrika 29 (1964) 1-27
20. Kvalheim O.M., Brakstad F., and Liang Y.-Z. Preprocessing of analytical profiles in the presence of homoscedastic or heteroscedastic noise. Anal. Chem. 66 1 (1994) 43-51
21. Massart, B.G.J., 1997. Environmental monitoring and forecasting by means of multivariate methods. Ph.D. Thesis. University of Bergen, Norway.
22. Massart B.G.J., Kvalheim O.M., Libnau F.O., Ugland K.I., Tjessem K., and Bryne K. Projective ordination by SIMCA: a dynamic strategy for cost-efficient environmental monitoring around offshore installations. Aquat. Sci. 58 2 (1996) 120-138
23. Olsgard F., and Gray J.S. A comprehensive analysis of the effects of offshore oil and gas exploration and production on the benthic communities of the Norwegian continental shelf. Mar. Ecol. Progr. Ser. 122 (1995) 277-306
24. Pielou E.C. The measurement of species diversity in different types of biological collections. J. Theoret. Biol. 13 (1966) 131-144
25. In: Rosenberg D.M., and Resh V.H. (Eds). Freshwater Bio-monitoring and Benthic Macroinvertebrates (1993), Chapman and Hall, London
26. Shannon C.E., and Weaver W. The Mathematical Theory of Communication (1949), University of Illinois Press, Urbana
27. Shepard R.N. The analysis of proximities: multidimensional scaling with an unknown distance function. Psychometrika 27 (1962) 125-140
28. The Norwegian Pollution Control Authority (SFT), 1997. Guidelines for environmental monitoring of petroleum activities on the Norwegian shelf, TA: 1424/1997.
29. Wold S. Pattern recognition by means of disjoint principal components models. Pattern Recogn. 8 (1976) 127-139
30. Wold S. Cross-validatory estimation of the number of components in factor and principal components models. Technometrics 20 (1978) 397-405
31. Wold S., Esbensen K., and Geladi P. Principal component analysis. Chem. Intell. Lab. Syst. 2 (1987) 37-52