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Chapter 7 - Sampling for detection, estimation and IPM decision making

Published online by Cambridge University Press:  01 September 2010

By
Roger D. Moon  and
L. T. (Ted) Wilson
Edited by
Edward B. Radcliffe ,
William D. Hutchison  and
Rafael E. Cancelado
Edward B. Radcliffe
Affiliation:
University of Minnesota
William D. Hutchison
Affiliation:
University of Minnesota
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Summary

IPM requires information about populations of pest and beneficial organisms in managed and constructed habitats. A recurring question is whether potentially injurious pests are abundant enough to warrant intervention, or whether beneficial organisms or other factors are likely to maintain control. Because most managed habitats are too large to be examined completely, practitioners must sample them and draw an inference about the whole.

Sampling plans in IPM can be grouped into three categories, depending on the sampler's goal. First, detection sampling is used in surveillance and regulatory applications, where the critical density of a target organism is effectively zero. Detection plans are designed to control the chance that the organism is erroneously missed. Second, estimation sampling is used where the goal is to quantify abundance, usually with desired levels of precision and reliability. Estimation sampling is used mainly in research, but it can also be used to evaluate IPM implementation and effectiveness. Finally, decision sampling is used where a choice to intervene with one or more management tactics depends on whether abundance has or will soon exceed a threshold density. Rather than estimate density, the goal is more simply to classify the habitat as needing or not needing intervention.

In all three situations, the basic process is the same. A sampler selects a set of sample units from the habitat using a defined procedure, assesses each for presence or abundance of the target organism, and then draws a conclusion based on the results.

Type
Chapter
Information
Integrated Pest Management
Concepts, Tactics, Strategies and Case Studies
 , pp. 75 - 89
Publisher: Cambridge University Press
Print publication year: 2008

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References

Alexander, C. J., Holland, J. H., Winder, L., Woolley, C. & Perry, J. (2005). Performance of sampling strategies in the presence of known spatial patterns. Annals of Applied Biology, 146, 361–370.CrossRefGoogle Scholar
Binns, M. R. (1994). Sequential sampling for classifying pest status. In Handbook of Sampling Methods for Arthropods in Agriculture, eds. Pedigo, L. P. & Buntin, G. D., pp. 137–174. Boca Raton, FL: CRC Press.Google Scholar
Binns, M. R., Nyrop, J. P. & Werf, W. (2000). Sampling and Monitoring in Crop Protection: The Theoretical Basis for Developing Practical Decision Guides. Wallingford, UK: CABI Publishing.CrossRefGoogle Scholar
Cochran, W. G. (1977). Sampling Techniques. New York: John Wiley.Google Scholar
Espino, L. A, Way, M. O. & Wilson, L. T. (2007). Determination of Oebalus pugnax (Hemiptera: Pentatomidae) spatial pattern in rice and development of visual sampling methods and population sampling plans. Journal of Economic Entomology, 101, 216–225.CrossRefGoogle Scholar
Fleischer, S. J., Blom, P. E. & Weisz, R. (1999). Sampling in precision IPM: when the objective is a map. Phytopathology, 89, 1112–1118.CrossRefGoogle ScholarPubMed
Hutchison, W. D. (1994). Sequential sampling to determine population density. In Handbook of Sampling Methods for Arthropods in Agriculture, eds. Pedigo, L. P. & Buntin, G. D., pp. 207–243. Boca Raton, FL: CRC Press.Google Scholar
Iwao, S. (1975). A new method of sequential sampling to classify populations relative to a critical density. Research in Population Ecology, 16, 281–288.CrossRefGoogle Scholar
Karandinos, M. G. (1976). Optimum sample size and comments on some published formulae. Bulletin of the Entomological Society of America, 22, 417–421.CrossRefGoogle Scholar
Kogan, M. & Herzog, D. C. (eds.) (1980). Sampling Methods in Soybean Entomology. New York: Springer-Verlag.CrossRef
Kuno, E. (1991). Verifying zero-infestation in pest control: a simple sequential test based on the succession of zero-samples. Research in Population Ecology, 33, 29–32.CrossRefGoogle Scholar
Lohr, S. L. (1999). Sampling: Design and Analysis. Pacific Grove, CA: Brooks/Cole Publishing.Google Scholar
Madden, L. V. & Hughes, G. (1999). Sampling for plant disease incidence. Phytopathology, 89, 1088–1103.CrossRefGoogle ScholarPubMed
Moon, , R. D. (2007a). Estimation of Canada thistle areas along roadway right-of-ways. In Radcliffe's IPM World Textbook, eds. Radcliffe, E. B., Hutchison, W. D. & Cancelado, R. E.. St. Paul, MN: University of Minnesota. Available at http://ipmworld.umn.edu/textbook/moon1.htm.Google Scholar
Moon, R. D. (2007b). Detection of leafy spurge along roadway right-of-ways. In Radcliffe's IPM World Textbook, eds. Radcliffe, E. B., Hutchison, W. D. & Cancelado, R. E.. St. Paul, MN: University of Minnesota. Available at http://ipmworld.umn.edu/textbook/moon2.htm.Google Scholar
Naranjo, S. E. & Hutchison, W. D. (1997). Validation of arthropod sampling plans using a resampling approach: software and analysis. American Entomologist, 43, 48–57.CrossRefGoogle Scholar
Pedigo, L. P. & Buntin, G. D. (eds.) (1994). Handbook of Sampling Methods for Arthropods in Agriculture. Boca Raton, FL: CRC Press.
Perry, J. N. (1981). Taylor's power law for dependence of variance on mean in animal populations. Applied Statistics, 30, 254–263.CrossRefGoogle Scholar
Ruesink, W. G. (1980). Introduction to sampling theory. In Sampling Methods in Soybean Entomology, eds. Kogan, M. & Herzog, D. C., pp. 61–78. New York: Springer-Verlag.CrossRefGoogle Scholar
Southwood, T. R. E. & Henderson, P. A. (2000). Ecological Methods, 3rd edn. London: Blackwell Science.Google Scholar
Taylor, L. R. (1961). Aggregation, variance and the mean. Nature, 189, 732–735.CrossRefGoogle Scholar
Taylor, L. R., Woiwod, I. P. & Perry, J. N. (1978). The density-dependence of spatial behavior and the rarity of randomness. Journal of Animal Ecology, 47, 383–406.CrossRefGoogle Scholar
Venette, R. C., Moon, R. D. & Hutchison, W. D. (2002). Strategies and statistics of sampling for rare individuals. Annual Review of Entomology, 47, 143–174.CrossRefGoogle ScholarPubMed
Wearing, C. H. (1988). Evaluating the IPM implementation process. Annual Review of Entomology, 33, 17–38.CrossRefGoogle Scholar
Wilson, L. T. (1982). Development of an optimal monitoring program in cotton: emphasis on spider mites and Heliothis spp. Entomophaga, 27, 45–50.CrossRefGoogle Scholar
Wilson, L. T. (1994). Estimating abundance, impact, and interactions among arthropods in cotton agroecosystems. In Handbook of Sampling Methods for Arthropods in Agriculture, eds. Pedigo, L. P. & Buntin, G. D., pp. 475–514. Boca Raton, FL: CRC Press.Google Scholar
Wilson, L. T. & Room, P. M. (1983). Clumping patterns of fruit and arthropods in cotton, with implications for binomial sampling. Environmental Entomology, 12, 50–54.CrossRefGoogle Scholar

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