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Design Based Sampling as a Technique for Estimating Arthropod Populations in Cotton over Large Land Masses

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Estimation and Analysis of Insect Populations

Part of the book series: Lecture Notes in Statistics ((LNS,volume 55))

Abstract

The Mesilla Valley, New Mexico, cotton arthropod ecosystem is chosen to exemplify the complexity found in large interacting cropping ecosystems. Here arthropod density is greatly modified by migration from neighboring plant ecosystems; the complex group of arthropods exists in three trophic levels; the beneficial complex may be composed of host-specific, host-nonspecific and hyperparasitoid species; and clumping may be related to a variety of cultural and behavioral factors within and between fields. It may not be possible to predict arthropod density in this ecosystem without consistent periodic updates. In order to set economic thresholds, there is a need for an economical means to determine between field variation and density estimates.

Sweepnet, D-vac, clamshell and Insectavac samplers were utilized to evaluate the most suitable arthropod sampling method. A portable computer-based vision system has been developed and used to count and classify insects based on size, shape and color at the field site to an overall 80% level of accuracy, and a motel-based sampling method has been proposed to evaluate questions or conjectures regarding the structure of sampling design and biological relationships.

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Author information

Authors and Affiliations

  1. Department of Entomology, Plant Pathology and Weed Science, New Mexico State University, Las Cruces, New Mexico, 88003, USA

    Joe Ellington, Karl Kiser & Gaye Ferguson Faubion

  2. Department of Experimental Statistics, New Mexico State University, Las Cruces, New Mexico, 88003, USA

    Morris Southward

Authors
  1. Joe Ellington
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  2. Morris Southward
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  3. Karl Kiser
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  4. Gaye Ferguson Faubion
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Editor information

Editors and Affiliations

  1. Departments of Statistics and Zoology, University of Wyoming, Laramie, WY, 82071, USA

    Lyman L. McDonald

  2. Department of Mathematics and Statistics, University of Otago, Dunedin, New Zealand

    Bryan F. J. Manly

  3. Department of Plant, Soil and Insect Sciences, University of Wyoming, Laramie, WY, 82071, USA

    Jeffrey A. Lockwood

  4. Departments of Entomology and Forestry, Virginia Polytechnic Institute, Blacksburg, VA, 24061, USA

    Jesse A. Logan

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© 1989 Springer-Verlag Berlin Heidelberg

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Ellington, J., Southward, M., Kiser, K., Faubion, G.F. (1989). Design Based Sampling as a Technique for Estimating Arthropod Populations in Cotton over Large Land Masses. In: McDonald, L.L., Manly, B.F.J., Lockwood, J.A., Logan, J.A. (eds) Estimation and Analysis of Insect Populations. Lecture Notes in Statistics, vol 55. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-3664-1_32

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  • DOI: https://doi.org/10.1007/978-1-4612-3664-1_32

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-96998-5

  • Online ISBN: 978-1-4612-3664-1

  • eBook Packages: Springer Book Archive

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