Spatiotemporal variability of temperate lake macroinvertebrate communities: Detection of impact

Ecological Applications

Volumn 8, Issue 1, 1998, Pages 61-70

  Johnson, Richard K ^a  

^a SWEDISH UNIVERSITY OF AGRICULTURAL SCIENCES   (Sweden)

Author keywords

Biomonitoring; Detection of impact; Macroinvertebrates; Spatial variability; Statistical power; Temperate lakes; Temporal variability

Indexed keywords

ENVIRONMENTAL IMPACT; INDICATOR SPECIES; INVERTEBRATE COMMUNITY; SPATIAL VARIATION; TEMPORAL VARIATION;

SWEDEN;

EID: 0031929166     PISSN: 10510761     EISSN: None     Source Type: Journal    
DOI: 10.1890/1051-0761(1998)008[0061:SVOTLM]2.0.CO;2     Document Type: Article

References (35)

1. Armitage, P. D., D. Moss, J. F. Wright, and M. T. Furse. 1983. The performance of a new biological water quality score system based on macroinvertebrates over a wide range of unpolluted running-water sites. Water Research 17:333-347.
2. Brundin, L. 1956. Die bodenfaunistischen Seetypen und ihre Anwendbarkheit auf die Südhalkugel. Zugleich ein Theorie der produktionbiologischen Bedeutung der glazialen Erosion. Report from the Institute of Freshwater Research, Drottningholm 37:186-235.
3. Cairns, J., Jr., and J. R. Pratt. 1993. A history of biological monitoring using benthic macroinvertebrates. Pages 10-27 in D. M. Rosenberg and V. H. Resh, editors. Freshwater biomonitoring and benthic macroinvertebrates. Chapman and Hall, New York, New York, USA.
4. Downing, J. A. 1989. Precision of the mean and the design of benthos sampling programmes: caution revised. Marine Biology 103:231-234.
5. Eberhardt, L. L., and J. M. Thomas. 1991. Designing environmental field studies. Ecological Monographs 61:53-73.
6. Efron, B. 1982. The jackknife, the bootstrap, and other re-sampling plans. CBMS-NSF Regional Conference Series in Applied Mathematics. Society for Industrial and Applied Mathematics 38:1-92.
7. Gerrodette, T. 1987. A power analysis for detecting trends. Ecology 68:1364-1372.
8. _. 1991. Models for power of detecting trends. A reply to Link and Hatfield. Ecology 72:1889-1892.
9. Green, R. H. 1989. Power analysis and practical strategies for environmental monitoring. Environmental Research 50: 195-205.
10. Green, R. H., and R. C. Young. 1993. Sampling to detect rare species. Ecological Applications 3:351-356.
11. Johnson, R. K. 1995. The indicator concept in freshwater biomonitoring. Pages 11-27 in P. Cranston, editor. Chironomids: from genes to ecosystems. Proceedings of the 12th International Chironomid Symposium, CSIRO Publications, Canberra, Australia.
12. Johnson, R. K., T. Wiederholm, and D. M. Rosenberg. 1993. Freshwater biomonitoring using individual organisms, populations, and species assemblages of benthic macroinvertebrates. Pages 40-158 (488) in D. M. Rosenberg and V. H. Resh, editors. Freshwater biomonitoring and benthic macroinvertebrates. Chapman and Hall, New York, New York, USA.
13. Lipsey, M. W. 1990. Design sensitivity: statistical power for experimental research. Sage Publications, London, UK.
14. Mapstone, B. D. 1995. Scalable decision rules for environmental impact studies: effect size, type I and type II errors. Ecological Applications 5:401-410.
15. Nordic Council of Ministers. 1984. Naturgeografisk region-indelning av Norden. Nordiska ministerrårdet 1984.
16. Osenberg, C. W., R. J. Schmitt, S. J. Holbrook, K. E. Abu-Saba, and A. R. Flegal. 1994. Detection of environmental impacts: natural variability, effect size, and power analysis. Ecological Applications 4:16-30.
17. Raddum, G. G. 1993. Intercalibration of invertebrate fauna 9301. ICP Waters Report, Zoological Institute, University of Bergen, Bergen, Norway.
18. Raddum, G. G. and A. Fjellheim. 1988. Acidification and early-warning organisms in freshwater in western Norway. Internationale Vereinigung für Theoretische und Angewandte Limnologie Verhandlungen 22:1973-1980.
19. Rapport, D. J. 1991. Evaluating ecosystem health. Journal of Aquatic Ecosystem Health 1:15-24.
20. Renberg, I., T. Korsman, and N. J. Anderson. 1993. A temporal perspective of lake acidification in Sweden. Ambio 22:264-271.
21. Resh, V. H., and D. M. Rosenberg. 1989. Spatial-temporal variability and the study of aquatic insects. Canadian Entomology 121:941-963.
22. Resh, V. M., and J. K. Jackson. 1993. Rapid assessment approaches to biomonitoring using benthic macroinvertebrates. Pages 195-233 in D. M. Rosenberg and V. H. Resh, editors. Freshwater biomonitoring and benthic macroinvertebrates. Chapman and Hall, New York, New York, USA.
23. Resh, V. M., and E. P. McElravy. 1993. Contemporary quantitative approaches to biomonitoring using benthic macroinvertebrates. Pages 159-194 in D. M. Rosenberg and V. H. Resh, editors. Freshwater biomonitoring and benthic macroinvertebrates. Chapman and Hall, New York, New York, USA.
24. Shannon, D. E. 1948. A mathematical theory of communication. Bell System Technological Journal 27:379-423, 623-656.
25. Stewart-Oaten, A. W., W. W. Murdoch, and K. R. Parker. 1986. Environmental impact assessment: "pseudoreplication" in time. Ecology 67:929-940.
26. Strayer, D. 1986. An essay on long-term ecological studies. Bulletin of the Ecological Society of America 67:271-275.
27. Thienemann, A. 1925. Die Binnengewässer Mitteleuropas. Eine Limnologische Einführung. Binnengewässer 1:1-255.
28. Thrush, S. F. 1991. Spatial patterns in soft-bottom communities. TREE 6:75-79.
29. Underwood, A. J. 1991. Beyond BACI: experimental designs for detecting human environmental impacts on temporal variations in natural populations. Australian Journal of Marine and Freshwater Research 42:569-587.
30. Veijola, H., J. J. Meriläinen, and V. Marttila. 1996. Sample size in the monitoring of benthic macrofauna in the profundal of lakes: evaluation of the precision of estimates. Hydrobiologia 322:301-315.
31. Wiederholm, T. 1980. Use of benthos in lake monitoring. Journal of the Water Pollution Control Federation 52:537-547.
32. Wilkinson, L. 1992. SYSTAT: the system for statistics. Systat, Evanston, Illinois, USA.
33. Wright, J. E. M. T. Furse, and P. D. Armitage. 1993. Use of macroinvertebrate communities to detect environmental stress in running waters. Pages 15-34 in D. W. Sutcliffe, editor. Water quality and stress indicators in marine and freshwater ecosystems: linking levels of organisation (individuals, populations, communities). Freshwater Biological Association 1994.
34. Wülker, W. 1980. Basic patterns in the chromosomal evolution in the genus Chironomus (Diptera). Zeitschrift für Zoologische Systematik und Evolutionsforschung 18:112-123.
35. Zar, J. H. 1984. Biostatistical analysis. Prentice-Hall, Engelwood Cliffs, New Jersey, USA.