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Frequency Sampling to Predict Densities in Sparse Populations of the Douglas-Fir Tussock Moth

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Density in the middle crown of the tree is a widely used index of abundance of the Douglas-fir tussock moth (Orgyia pseudotsugata [McDunnough]). Midcrown density is usually estimated by the destructive sampling of branches in the middle crown, but in sparse populations it can also be predicted by observing the frequency of occurrence of larvae or pupae on lower branches. Predictions are made from a prior calibration between the proportion of infested samples in lower branches and midcrown density. Two models for calibration were developed: an empirical relation based on regression analyses of population data, and a theoretical relation derived from the frequency distribution of individuals in a Poisson series and the vertical distribution of insects in the tree. The models produced almost identical results in predicting midcrown densities from estimated proportion values. The theoretical model is recommended because of its versatility for different-aged larvae and generality over a wider range of low densities. For. Sci. 33(1): 145-156.

Keywords: Insect sampling methods; Orgyia pseudotsugata; insect surveys

Document Type: Journal Article

Affiliations: Principal Insect Ecologist, USDA Forest Service, Pacific Northwest Research Station, La Grande, OR 97850

Publication date: 1987-03-01

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  • Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
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    2015 Impact Factor: 1.702
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    June 1, 2016 to Feb. 28, 2017

    Also published by SAF:
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