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Towards Monitoring of Long-term Trends in Terrestrial Ecosystems

Published online by Cambridge University Press:  24 August 2009

W. Ted Hinds
W. Ted Hinds
Affiliation:
Senior Research Scientist, Applied Ecology Section, Environmental Sciences Department, Battelle Pacific Northwest Laboratories, P.O Box 999, Richland, Washington 99352, USA.
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Extract

Ecological monitoring is the purposeful observation, over time, of ecological processes in relation to stress. It differs from biological monitoring in that ecological monitoring does not consider the biota to be a surrogate filter to be analysed for contaminants, but rather has changes in the biotic processes as its focal point for observation of response to stress. Ecological monitoring methods aimed at detecting subtle or slow changes in ecological structure or function usually cannot be based on simple repetition of an arbitrarily chosen field measurement. An optimum method should be deliberately designed to be ecologically appropriate, statistically credible, and cost-efficient.

Ecologically appropriate methods should consider the ecological processes that are most likely to respond to the stress of concern, so that relatively simple and well-defined measurements can be used. Statistical credibility requires that both Type I and Type II errors be addressed; Type I error (a false declaration of impact when none exists) and Type II error (a false declaration that no change has taken place or that an observed change is random) are about equally important in a monitoring context. Therefore, these error rates should probably be equal. Furthermore, the error rates should reflect the large inherent variability in undomesticated situations; the optimum may be 10%, rather than the traditional 5% or 1% for controlled experiments and observations.

Type
Main Papers
Information
Environmental Conservation , Volume 11 , Issue 1 , Spring 1984 , pp. 11 - 18
Copyright
Copyright © Foundation for Environmental Conservation 1984

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References

REFERENCES

Anon. (1978). Federal environmental monitoring; will the bubble burst? Environmental Science and Technology, 12(12), pp. 1264–9.CrossRefGoogle Scholar
Axelrod, M.C., Coyne, P.I., Bingham, G.E., Kerchner, J.R., Miller, P.R. & Hung, R.C. (1980). Canopy analysis of pollutant-injured Ponderosa Pine in the San Bernardino National Forest. P. 227 in Proceedings of Symposium on Effects of Air Pollutants on Mediterranean and Temperate Forests (Ed. Miller, P.R.). Pacific Southwest Forest and Range Experiment Station, Berkeley, California, USA: 256 pp., illustr.Google Scholar
Barrett, G.M. & Rosenberg, R. (Ed.) (1981). Stress Effects on Natural Ecosystems. (Environmental Monographs & Symposia, Convener & Gen. Ed. Polunin, N..) John Wiley & Sons, Chichester—New York—Brisbane—Toronto—Singapore: xviii + 305 pp., illustr.Google Scholar
Bourdeau, P. & Treshow, M. (1978). Ecosystem response to pollution. Pp. 313–30 in Principles of Ecotoxicology (Ed. Butler, G.C.). John Wiley & Sons, New York, NY, USA: xxii + 350 pp., illustr.Google Scholar
Brown, K.T. (1981). Indirect costs of federally supported research. Science, 212, pp. 411–8.CrossRefGoogle ScholarPubMed
Buffington, J.D. (1978). Statement. Pp. 146–86 in Hearings before the Subcommittee on the Environment and the Atmosphere of the Committee on Science and Technology, US House of Representatives, June 27–29, 07 21, 1978. Government Printing Office, Washington, DC, USA: iii + 321 pp.Google Scholar
Cairns, J. Jr (1974). Indicator species vs the concept of community structure as an index of pollution. Water Resources Bulletin, 10, pp. 338–47.Google Scholar
Cairns, J. Jr (1980). Estimating hazard. BioScience, 30, pp. 101–7.CrossRefGoogle Scholar
Cairns, J. Jr & Schalie, W.H. van der (1980). Biological monitoring Part 1-Early warning systems. Water Research, 14, pp. 1179–96;.CrossRefGoogle Scholar
Colwell, R.R. (1978). Toxic effects of pollutants on microorganisms. Pp. 275–94 in Principles of Ecotoxicology (Ed. Butler, G.C.). John Wiley & Sons, New York, NY, USA: xxii + 350 pp., illustr.Google Scholar
Cowell, E.B. (1978). Ecological monitoring as a tool in industry. Ocean Management, 4, pp. 273–85.CrossRefGoogle Scholar
Dyne, G.M. Van (1981). Response of shortgrass prairie to maninduced stresses as determined from modelling experiments. Pp. 57–70 in Barrett & Rosenburg (q.v.).Google Scholar
Eberhardt, L.L. (1976). Quantitative ecology and impact assessment. J. Environmental Management, 4, pp. 27–70.Google Scholar
Eberhardt, L.L. (1978). Appraising variability in population studies. J. Wildlife Management, 42, pp. 209–38.CrossRefGoogle Scholar
Fitzner, R.E., Rickard, W.H. & Hinds, W.T. (1982). Excrement from Heron colonies for environmental assessment of toxic elements. Environmental Monitoring and Assessment, 1, pp. 383–6.CrossRefGoogle ScholarPubMed
Franklin, J.F., Jenkins, R.E. & Romancier, R.M. (1972). Research Natural Areas: Contributors to environmental quality programs. J. Environmental Quality, 1, pp. 133–9.CrossRefGoogle Scholar
Gauch, H.G. Jr (1982). Multivariate Analysis in Community Ecology. Cambridge University Press, Cambridge, England, UK: x + 298 pp., illustr.Google Scholar
Goldberg, E.D., Bowen, V.T., Farrington, J.W., Harvey, G., Martin, J.H., Parker, P.L., Risebrough, R.W., Robertson, W., Schneider, E. & Gamble, E. (1978). The Mussel Watch. Environmental Conservation, 5(2), pp. 101–25, illustr.CrossRefGoogle Scholar
Gray, J.S. (1980). Why do ecological monitoring? Marine Pollution Bulletin, 11, pp. 62–5.Google Scholar
Holden, A.G. (1978). Monitoring environmental materials and specimen banking for organohalogenated compounds in aquatic ecosystems. Pp. 320–41 in Luepke (q.v.).Google Scholar
Holdgate, M.W. (1979).A Perspective of Environmental Pollution. Cambridge University Press, Cambridge—London—New York—Melbourne: x + 278 pp., illustr.Google Scholar
Inman, J.C. & Parker, G.R. (1978). Decomposition and heavymetal dynamics of forest litter in northwestern Indiana. Environmental Pollution, 17, pp. 39–51.Google Scholar
Jacsic, F.M. (1981). Abuse and misuse of the term ‘guild’ in ecological studies. Oikos, 37, pp. 397–400.CrossRefGoogle Scholar
Kendall, R.J. (1982). Wildlife toxicology. Environmental Science and Technology, 16(8), pp. 448A–53A.CrossRefGoogle Scholar
Keulen, A. Van, Seligman, N.G. & Benjamin, R.W. (1980–1981). Simulation of water use and herbage in arid regions—a re-evaluation and further development of the model ARIDCROP. Agricultural Systems, 6, pp. 159–93.Google Scholar
Knox, G.A. & Polunin, N. (Ed.) (in press). Ecosystem Theory and Application. (Environmental Monographs & Symposia, Convener & Gen. Ed. N. Polunin). John Wiley & Sons, Chichester—New York—Brisbane—Toronto—Singapore.Google Scholar
Laven, R.D. (1982). Establishing homogeneity in studies of forest succession. Forest Ecology and Management, 4, pp. 161–77.CrossRefGoogle Scholar
Loon, J.C. Van (1975). How useful are environmental chemicaldata? Pp. 349–55 in International Conference on Heavy Metals in the Environment: Symposium Proceedings Volume 1. (27-3–1 10 1975.) Institute for Environmental Studies, University of Toronto, Ontario, Canada: MSSIAI, vii + 371 pp., illustr.Google Scholar
Luepke, N.P. (Ed.) (1978). Monitoring Environmental Materials and Specimen Banking. Martinus Nijhoff Publishers, The Hague, Netherlands: xiii + 591 pp., illustr.Google Scholar
McLaughlin, S.B., McConathy, R.K., Duvick, D. & Mann, L.K. (1982). Effects of chronic air pollution stress on photosynthesis, carbon allocation, and growth of White Pine Trees. Forest Science, 28, pp. 60–70.Google Scholar
McShane, M.C., Carlile, D.W. & Hinds, W.T. (in press). The effect of sampler size on forest litterfall collection and analysis. Canadian Journal of Forest Research.Google Scholar
Manning, W.J. & Feder, W.A. (1980). Biomonitoring Air Pollutants with Plants. Applied Science Publishers, London, England, UK: x + 142 pp., illustr.Google Scholar
National Research Council (1977). Analytical Studies for the US Environmental Protection Agency, Volume IV. National Academy of Sciences, Washington, DC, USA: xiii + 181 pp., illustr.Google Scholar
National Research Council (1980). The International Mussel Watch. National Academy of Sciences, Washington, DC, USA: xvi + 248 pp., illustr.Google Scholar
National Research Council (1981). Testing for Effects of Chemicals on Ecosystems. Committee to Review Methods for Ecotoxicology, National Research Council. National Academy Press, Washington, DC, USA: xv + 103 pp., illustr.Google Scholar
National Science Foundation (1977). Long Term Ecological Measurements. National Science Foundation, Washington, DC, USA: 26 pp.Google Scholar
Newton, I. (1979). Population Ecology of Raptors. Buteo Books, Vermillion, South Dakota, USA: 399 pp., illustr.Google Scholar
O'Neill, R.V., Ausmus, B.S., Jackson, D.R., Hook, R.I. Van, Voris, P. Van, Washburne, C. & Watson, A.P. (1977). Monitoring terrestrial ecosystems by analysis of nutrient export. Water, Air, and Soil Pollution, 8, pp. 271–7.CrossRefGoogle Scholar
Rickard, W.H., Hedlund, J.D. & Schreckhise, R.G. (1978). Rejecta cast from Heron nests as an indicator of food-chain contamination. The Auk, 95, pp. 425–7.Google Scholar
Severinghaus, W.D. (1981). Guild theory development as a mechanism for assessing environmental impact. Environmental Management, 5, pp. 187–90.CrossRefGoogle Scholar
Skalski, J.R., & McKenzie, D.H., (1982). A design for aquatic monitoring programs. J. Environmental Management, 14, pp. 237–51.Google Scholar
Smith, W.H. (1981). Air Pollution and Forests. Springer Verlag, New York, NY, USA: xv + 379 pp., illustr.Google Scholar
Snedecor, G.W. & Cochran, W.G. (1967). Statistical Methods. Iowa State University Press, Ames, Iowa, USA: xiv + 593 pp., illustr.Google Scholar
Suter, G.W. (1981). Ecosystem theory and NEPA assessment. Bulletin of the Ecological Society of America, 62, pp. 186–92.Google Scholar
Symeonides, C. (1979). Tree-ring analysis for tracing the history of pollution: application to a study in Northern Sweden. J. Environmental Quality, 8, pp. 482–6.CrossRefGoogle Scholar
Thomas, J.M., McKenzie, D.H. & Eberhardt, L.L. (1981). Some limitations of biological monitoring. Environment International, 5, pp. 3–10.CrossRefGoogle Scholar
Vanderhorst, J.R. & Wilkinson, P. (1979). The Littleneck Clam, Protothaca staminea, as a tool for potential oil pollution assessment, Part 1: Density of stock. Marine Environmental Research, 2, pp. 223–37.CrossRefGoogle Scholar
Waring, R.H. & Franklin, J.F. (1979). Evergreen coniferous forests of the Pacific Northwest. Science, 204, pp. 1380–6.CrossRefGoogle ScholarPubMed
Williams, W.I. (1983). Tree growth and smog disease in the forests of California: case history, Ponderosa Pine in the southern Sierra Nevada. Environmental Pollution (Series A), 30, pp. 59–75.CrossRefGoogle Scholar
Worf, D.L. (Ed.) 1980. Biological Monitoring for Environmental Effects. Lexington Books, D.C.Heath and Company, Lexington, Massachusetts, USA: xii + 227 pp., illustr.Google Scholar