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Predictive Equations for Local Spread of Oak Wilt in Southern Wisconsin

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Abstract:

Oak wilt, caused by the fungus Ceratocystis fagacearum, is an important vascular wilt disease of oaks in the United States. In some areas, the pathogen spreads among adjacent trees of the red oak group through natural root grafts. Mapped data on oak wilt mortality were analyzed to predict probabilities of local spread between pairs of susceptible trees. Such probabilities were best predicted by the combined diameters at breast height (CDBH) and the intertree distance (D) as CDBH/D or CDBH - D. Regressions predicting transmission probability differed in slope between sites. But slopes were similar for tree-to-tree spread of different durations within sites, confirming that time for spread is not related to tree size or intertree distance. These relationships may be used to determine which trees in a woodlot or urban planting are in greatest danger of local transmission of oak wilt. They indicate where physical or chemical barriers to root-graft transmission should be placed. Forest Sci. 31:43-51.

Keywords: Ceratocystis fagacearum; Quercus spp; disease spread models; root-graft transmission

Document Type: Journal Article

Affiliations: Professor, Department of Plant Pathology, University of Wisconsin, Madison, WI 53706

Publication date: 1985-03-01

More about this publication?
  • 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
    Other SAF Publications
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