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Title: An assessment of the relationship between emerald ash borer presence and landscape pattern

Author: Crocker, Susan J.; Meneguzzo, Dacia M.

Date: 2009

Source: In: McWilliams, Will; Moisen, Gretchen; Czaplewski, Ray, comps. Forest Inventory and Analysis (FIA) Symposium 2008; October 21-23, 2008; Park City, UT. Proc. RMRS-P-56CD. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 9 p.

Publication Series: Proceedings (P)

   Note: This article is part of a larger document. View the larger document

Description: Six years after its 2002 detection near Detroit, MI, the emerald ash borer (EAB) (Agrilus planipennis Fairmaire) has spread hundreds of miles across the Upper Midwest and Mid-Atlantic regions of the United States. Human-assisted transportation of infested ash materials is the primary mechanism of EAB dispersal over long distances. Natural spread occurs locally and is influenced by factors, such as host availability, meteorological conditions, and landscape configuration. This study looks at the effects of ash density and landscape pattern on current EAB distribution. Forest Inventory and Analysis (FIA) data were used to calculate plot-level landscape metrics (total edge length, edge density, and forest proportion) in Ohio, Indiana, Illinois, and Wisconsin. Initial results indicate that while EAB is primarily found in areas with a low proportion of forest land, it is also found in areas with a relatively high concentration of ash. Counties containing EAB infestations were also found to have high relative edge densities.

Keywords: emerald ash borer, landscape metrics, forest inventory

Publication Notes:

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  • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
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Citation:


Crocker, Susan J.; Meneguzzo, Dacia M. 2009. An assessment of the relationship between emerald ash borer presence and landscape pattern. In: McWilliams, Will; Moisen, Gretchen; Czaplewski, Ray, comps. Forest Inventory and Analysis (FIA) Symposium 2008; October 21-23, 2008; Park City, UT. Proc. RMRS-P-56CD. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 9 p.

 


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