Spatial analysis of non-indigenous forest insect pest species richness across the continental United States

Sunday, December 13, 2009: 12:50 PM

Room 201, Second Floor (Convention Center)

Andrew M. Liebhold , Northern Research Station, USDA - Forest Service, Morgantown, WV

Deborah G. McCullough , Department of Entomology / Department of Forestry, Michigan State University, East Lansing, MI

Laura M. Blackburn , Northern Research Station, USDA Forest Service, Morgantown, WV

Kerry Britton , USDA Forest Service Research & Development, Arlington, VA

Susan J. Frankel , USDA Forest Service, Pacific Southwest Research Station, Berkeley, CA

Juliann Aukema , The Nature Conservency, Seattle, WA

We assembled data consisting of maps of the current ranges of 74 non-indigenous forest pest species in the US that were recorded at the county level. These data were summarized by calculating the total number of species per county. This species richness was analyzed as a function of several potentially explanatory variables. We applied a spatial autorgressive model that accounted for the inherent autocorrelation of the data. Results indicated that the richness of overstory tree genera explained most of the spatial variation. These results indicate that host tree diversity provides more opportunities for pest invasions and consequently pest species richness.

doi: 10.1603/ICE.2016.40341

See more of: Bringing Geospatial Colleagues, Science and Ideas Together: Opportunities for Spatial Analysis and Remote Sensing in Entomology
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0018 Spatial analysis of non-indigenous forest insect pest species richness across the continental United States