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Characterizing Spatial Patterns of Gypsy Moth Regional Defoliation

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Abstract:

Aerial sketch maps of defoliation caused by the gypsy moth, Lymantria dispar (L.), in Massachusetts from 1961 to 1986 were digitized into an array of 1.9 x 1.9 km cells. Defoliation frequency was mapped by summing defoliation incidence for each cell. Spatial autocorrelation analysis indicated that defoliation was not distributed randomly over the state but was instead distributed in clumps of varying size. Directional spatio-temporal autocorrelation analysis showed no evidence for unidirectional spread of defoliation through time. Yearly defoliation, as a proportion of maximum, was used in a clustering algorithm to categorize different portions of the state in terms of defoliation synchrony, Two-state transition models were used to characterize defoliation initiation and termination. Different regions showed different probabilities of both outbreak initiation and termination. Transition probabilities varied substantially relative to the amount of defoliation in adjoining areas, indicating an apparent "spread" of defoliation. For. Sci. 35(2):557-568.

Keywords: Lymantria dispar; Spatial autocorrelation; population dynamics; spatial dynamics

Document Type: Journal Article

Affiliations: Associate Professor, Department of Entomology, University of Massachusetts, Amherst, MA 01003

Publication date: June 1, 1989

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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.
    Forest Science is published bimonthly in February, April, June, August, October, and December.

    2015 Impact Factor: 1.702
    Ranking: 16 of 66 in forestry

    Also published by SAF:
    Journal of Forestry
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