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Statistics for Environmental Change

Published online by Cambridge University Press:  03 October 2008

Vic Barnett
Affiliation:
Institute of Arable Crops Research, Rothamsted Experimental Station, Harpenden, Hertfordshire, AL5 2JQ, England
Janet Riley
Affiliation:
Institute of Arable Crops Research, Rothamsted Experimental Station, Harpenden, Hertfordshire, AL5 2JQ, England

Summary

Major changes to the global environment and their impact upon statistical requirements are presented. The need for extensive yet accurate datasets is stressed and the difficulties of achieving appropriate sampling strategies are described. Examples are presented of environmental studies in use in diverse field such as global warming, sustainability, agroforestry and intercropping, and local community studies. The history of the use of environmental statistics is highlighted as is the need for modern methods to handle large, multivariate datasets likely to be subject to both spatial and temporal variability.

Type
Research Article
Copyright
Copyright © Cambridge University Press 1995

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References

REFERENCES

Anderson, C. W. & Nadarajah, S. (1993). Environmental factors affecting reservoir safety. In Statistics for the Environment (Eds Barnett, V. and Turkman, K. F.). Chichester: Wiley.Google Scholar
Barnett, V. (1993). Multivariate environmental statistics in agriculture. In Multivariate Environmental Statistics (Eds Patil, G. P. and Rao, C. R.). New York and Amsterdam: North Holland/Elsevier.Google Scholar
Barnett, V. (1994). Statistics and the long-term experiments: past achievements and future challenges. In Long-Term Experiments in Agricultural Ecological Sciences (Eds Leigh, R. A. and Johnston, A. E.). Wallingford: CAB International.Google Scholar
Barnett, V. & Turkman, K. F. (Eds) (1993). Statistics for the Environment. (Proceedings of SPRUCE Conference held in Lisbon, April 1992). Chichester: Wiley.Google Scholar
Barnett, V., Landau, S. & Welham, S. J. (1994 a). Measuring sustainability. journal of Environmental and Ecological Statistics (in press).CrossRefGoogle Scholar
Barnett, V., Johnston, A. E., Landau, S., Payne, R. W., Welham, S. J. & Rayner, A. I. (1994 b). Sustainability-the Rothamsted Experience. In Agricultural Sustainability: Economic, Environmental and Statistical Considerations, Chapter 9 (Eds Barnett, V. D., Payne, R. W. and Steiner, R.). Chichester: Wiley.Google Scholar
Jenkinson, D. S., Potts, J. M., Perry, J. N., Barnett, V., Coleman, K. & Johnston, A. E. (1994). Trends in herbage yields over the last century on the Rothamsted long-term continuous hay experiment. journal of Agricultural Science, Cambridge 122 (in press).CrossRefGoogle Scholar
Langton, S. D. & Riley, J. (1989). Implications of statistical analysis of initial agroforestry experiments. Agroforestry Systems 9:211232.CrossRefGoogle Scholar
Mead, R. & Riley, J. (1981). A review of statistical ideas relevant to intercropping research (with discussion). journal of the Royal Statistical Society A 144:462509.CrossRefGoogle Scholar
Muetzenfeldt, R. I. & Sinclair, F. L. (1993). Ecological modelling of agroforestry systems. Agroforestry Abstracts 6:207247.Google Scholar
Okigbo, B. N. (1991). Development of Sustainable Agricultural Production Systems in Africa. Distinguished African Scientist Lecture Series. Ibadan, Nigeria: International Institute of Tropical Agriculture.Google Scholar
Patil, G. P. (1991). Encountered data, statistical ecology, environmental statistics, and weighted distribution methods. Environmetrics 2:377423.CrossRefGoogle Scholar
Patil, G. P. (1993). Encountered data analysis in ecological and environmental studies using weighted distribution methods. In Statistics for the Environment (Eds Barnett, V. and Turkman, K. F.). Chichester: Wiley.Google Scholar
Patil, G. P., Gore, S. D. & Sinha, A. K. (1992). Environmental sampling and statistical modelling with examples. In Proceedings of the XVIth International Biometric Conference,Hamilton, New Zealand,7th–11th December, 1992.Google Scholar
Rao, M. R. & Coe, R. D. (1991). Measuring crop yields in on-farm agroforestry studies. Agroforestry Systems 15:275290.CrossRefGoogle Scholar
Riley, Janet (1992). Biometrical perspectives under global change. In Proceedings of the XVIth International Biometric Conference,Hamilton, New Zealand,7th–11th December 1992.Google Scholar
Riley, Janet (1994). Aspects of statistical technique and presentation. Experimental Agriculture 30:381394.CrossRefGoogle Scholar
Riley, J. & Smyth, S. (1993). A study of alley cropping data from Northern Brazil. I. Distributional properties. Agroforestry Systems 22:241258.CrossRefGoogle Scholar
Schnute, J. T. (1993). Ambiguous inferences from fisheries data. In Statistics for the Environment (Eds Barnett, V. and Turkman, K. F.). Chichester: Wiley.Google Scholar
Shepherd, K. D. & Roger, J. H. (1991). Approaches to on-farm testing and evaluation of agroforestry technology. Working Paper Number 67. Nairobi: International Council for Research in Agroforestry.Google Scholar
Smith, R. L. (1993). Long-range dependence and global warming. In Statistics for the Environment (Eds Barnett, V. and Turkman, K. F.). Chichester: Wiley.Google Scholar
Winpenny, J. T. (1991). Values for the Environment. A Guide to Economic Appraisal. London: HMSO.Google Scholar
World Resources Institute (1990). World Resources, 1990–91. Oxford: University Press.Google Scholar
World Resources Institute (1992). World Resources, 1992–93. Oxford: University Press.Google Scholar