The Establishment Potential Surface for Sirex noctilio was produced for
the conterminous United States in 1 square kilometer (km2) units by the
U.S. Forest Service, Forest Health Technology Enterprise Teams (FHTET)
Invasive Species Steering Committee. The products intended use in
conjunction with the Introduction Potential Surface is to develop a
Susceptibility Potential Surface for Sirex noctilio. Four primary
datasets with standardized values from 0 to 10 were used as variables in
the analysis. Each dataset was multiplied by its arithmetic weight and
the resultant values were combined in a weighted overlay (Eastman 1999).
The final Establishment Potential Surface output values also range from
0 to 10; with 10 being the highest potential of establishment.
Reference: Eastman, J.R. 1999. IDRISI 32: Guide to GIS and Image
Processing Volume 2. Software Manual. Worcester, MA: Clark Labs, Clark University.
Total Pine Basal Area. Source: Basal Area (BA) measurements from the
US Forest Service, Forest Inventory and Analysis (FIA) data. North
American pine species data from FIA were used (See Appendix A for
measurement years). In places where Sirex noctilio is currently present,
dense areas are attacked while thinned areas within the same stand are
not. Therefore, total BA was used to assign a risk value from 0 to 10 to
each 1 km pixel.
Host Species. Source: Species occurrence from the FIA data. Each
species will undergo different levels of susceptibility from a Sirex
noctilio attack. Susceptibility values were assigned to each species
(e.g. very high, high, medium, and low) (Appendix B).
Urban forest was added to these data as a very high susceptible host.
Soil Wetness Dryness Index (SOIL_WDI). The Dryness Index (DI) values
for each soil series were determined from the taxonomic subgroup,
textural family, drainage class, and slope class of every soil series
(USDA Forest Service FHTET Mapping Risk from Forest Insects and Diseases
(in press)). These data have values that range from 0 to 100. Where 0 is
very dry, 100 is open water, values close to 50 are considered optimal
with respect to soil wetness dryness. These data were reclassed into 10
classes using Table 3.
Urban Forest is the result of the coincidence of urban areas and
NLCD Evergreen Forest. These data were classified as highly susceptible
host and combined into the Host Species
data set using a maximum overlay process.