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Evaluation of a gradient sampling design for environmental impact assessment

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Abstract

Before-After Control Impact (BACI) sampling designsare commonly used in environmental impact assessmentand are considered the most effective for detectingchanges due to anthropogenic disturbances. Thesedesigns handle local spatial variability throughrandomized placement of samples into a treatmentstratum and a control stratum. When a contaminantdisperses with distance from a point source it issuggested that a ’gradient‘ design will be moresensitive to change than randomized placement ofsamples. This requires allocating samples according todistance, rather than by random placement withinrandomly placed blocks. In this paper gradient versusrandom sampling designs were compared using data froman oil field in the North Sea. The gradient samplingdesign was more powerful than a randomized CI sampling design.

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References

  • Bernstein, B. B. and Zalinski, J.: 1983, ‘An optimum sampling design and power tests for environmental biologists’, J. Environ. Manag. 16, 35–;43.

    Google Scholar 

  • Draper, N. R. and Smith, H.: 1981, Applied Regression Analysis, Second Edition, Wiley, New York.

    Google Scholar 

  • Fauchald, K. and Jumars, P. A.: 1979, ‘The diet of worms: A study of polychaete feeding guilds’, Oceanog. Mar. Bio. Annual Rev. 17, 193–;284.

    Google Scholar 

  • Gagnon, J. M. and Haedrich, R. L.: 1991, ‘A functional approach to the study of Labrador/Newfoundland shelf macrofauna’, Contin. Shelf Res. 11(8–;10), 963–;976.

    Google Scholar 

  • Grassle, J. F. and Grassle, J. P.: 1974, ‘Opportunistic life history and genetic systems in marine benthic polychaetes’, J. Mar. Res. 32, 253–;284.

    Google Scholar 

  • Gray, J. S.: 1989, ‘Effects of environmental stress on species rich assemblages’, Bio. J. Linn. Soc. 37, 19–;32.

    Google Scholar 

  • Gray, J. S., Clarke, K. R., Warwick, R. M. and Hobbs, G.: 1990, ‘Detection of initial effects of pollution on marine benthos: and example from the Ekofisk and Eldfisk oilfields, North Sea’, Mar. Ecol. Prog. Ser. 66, 285–;299.

    Google Scholar 

  • Green, R. H.: 1979, Sampling Design and Statistical Methods for Environmental Biologists, John Wiley and Sons Inc, USA.

    Google Scholar 

  • Hilborn, R. and Walters, C. J.: 1981, ‘Pitfalls of environmental baseline and process studies’, EIA Rev. 2, 265–;278.

    Google Scholar 

  • Hurlbert, S. J.: 1984, ‘Pseudoreplication and the design of ecological field experiments’, Ecol. Monol. 54, 187–;211.

    Google Scholar 

  • Morrisey, D. J.: 1993, ‘Environmental impact assessment — A review of its aims and recent developments’, Mar. Pollut. Bull. 26(10), 540–;545.

    Google Scholar 

  • National Research Council: 1990, Managing Troubled Waters. The Role of Marine Environmental Monitoring, National Academy Press, Washington, D.C.

    Google Scholar 

  • Olsgard, F. and Gray, J.: 1995, ‘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. Prog. Ser. 122, 277–;306.

    Google Scholar 

  • Paris Commission: 1989, Guidelines for Monitoring Methods to be used in the Vicinity of Platforms in the North Sea, Prepared by Norwegian State Pollution Control Authority.

  • Peterman, R. M.: 1990, ‘Statistical power analysis can improve fisheries research and management’, Can. J. Fish. Aquat. Sci. 47, 2–;15.

    Google Scholar 

  • Popham, M. L.: 1940, ‘The mantle cavity of some of the Erycinidae, Montacutidae and Galeommatidae, with special reference to the ciliary mechanisms,’ J. Mar. Bio. Assoc. U.K. 24, 549–;587.

    Google Scholar 

  • Rapport, D. J., Regier, H. A. and Hutchinson, T. C.: 1985, ‘Ecosystems behaviour under stress’, Amer. Nat. 125, 617–;640.

    Google Scholar 

  • Rygg, B.: 1986, ‘Heavy metal pollution and log-normal distributions of individuals among species in benthic communities’, Mar. Pollut. Bull. 17, 31–;36.

    Google Scholar 

  • Stewart-Oaten, A., Murdoch, W. M. and Parker, K. R.: 1986, ‘Environmental impact assessment: “pseudoreplication” in time?’, Ecol. 67, 929–;940.

    Google Scholar 

  • Sokal, R. R. and Rohlf, F. J.: 1995, Biometry, Third Edition, Freeman and Co, New York.

    Google Scholar 

  • Thomas, D. J.: 1992, ‘Considerations in the design of effects monitoring strategies. Beaufort sea case study’, Environmental studies research funds Report No. 118. Axys Environmental Consulting Ltd., Sidney, B.C. Canada.

    Google Scholar 

  • Underwood, A. J.: 1991, ‘Beyond BACI: experimental designs for detecting human environmental impacts on temporal variations in natural populations’, Aust. J. Mar. Fres. Res. 42, 569–;587.

    Google Scholar 

  • Underwood, A. J.: 1992, ‘Beyond BACI. The detection of environmental impacts on populations in the real, but variable, world’, J. Exper. Mar. Biol. Ecol. 161, 145–;178.

    Google Scholar 

  • Underwood, A. J.: 1993, ‘The mechanics of spatially replicated sampling programmes to detect environmental impacts in a variable world’, Aust. J. Ecol. 18, 99–;116.

    Google Scholar 

  • Underwood, A. J.: 1994, ‘On beyond BACI: sampling designs that might reliably detect environmental disturbances’, Ecol. Appl. 4(1), 3–;15.

    Google Scholar 

  • Warwick, R. M.: 1988, ‘Analysis of community attributes of the macrobenthos of Frierfjord/Langesundfjord at taxonomic levels higher than species’, Mar. Ecol. Prog. Ser. 46(1–;3), 167–;170.

    Google Scholar 

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Ellis, J.I., Schneider, D.C. Evaluation of a gradient sampling design for environmental impact assessment. Environ Monit Assess 48, 157–172 (1997). https://doi.org/10.1023/A:1005752603707

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