Emerald Ash Borer Detection Likelihood 2012 Surface Emerald Ash Borer Agrilus planipennis Fairmaire Detection Likelihood Surface with Positive Locations from 2012 Data format: Raster Dataset - ESRI GRID File or table name: Detection Likelihood 2012 Coordinate system: NAD 83 Albers Theme keywords: : Forest Pest, Forest Insect, Invasive Species, Exotic, Emerald Ash Borer, Agrilus planipennis, Detection Likelihood, MaxEnt Abstract: The 2012 Detection Likelihood model for the Emerald Ash Borer (EAB), Agrilus planipennis, was produced for the Contiguous 48 United States (CONUS) at a 1 square kilometer (1 km2) resolution by the U.S. Forest Service, Forest Health Protection, Forest Health Technology Enterprise Team (FHTET), in collaboration with Animal and Plant Health Service, Plant Protection and Quarantine (APHIS PPQ) staff members. The intended use of the 2012 Detection Likelihood is to inform the 2013 EAB sample design. FGDC and ESRI Metadata: • • • • • • • Identification Information Data Quality Information Spatial Data Organization Information Spatial Reference Information Entity and Attribute Information Distribution Information Metadata Reference Information Metadata elements shown with blue text are defined in the Federal Geographic Data Committee's (FGDC) Content Standard for Digital Geospatial Metadata (CSDGM). Elements shown with green text are defined in the ESRI Profile of the CSDGM. Elements shown with a green asterisk (*) will be automatically updated by ArcCatalog. ArcCatalog adds hints indicating which FGDC elements are mandatory; these are shown with gray text. Identification Information: Citation: Citation information: Originators: Downing, M. C., I. I. F. Leinwand, P. H. Chaloux, J. R. Withrow, and F. J. Sapio. 2011. Emerald Ash Borer (EAB) “Agrilus planipennis Fairmaire Risk Assessment” U.S. Forest Service Forest Health Technology Enterprise Team (FHTET) Forest Health Protection USDA Forest Service, http://www.fs.fed.us/foresthealth/technology/invasives_agrilusplanipennis_riskmaps.shtml Title: Detection Likelihood Surface for Agrilus planipennis *File or table name: eab_avg_2012 Publication date: 20121116 *Geospatial data presentation form: raster digital data Emerald Ash Borer Detection Likelihood 2012 Surface Series information: Series name: Version 1.0 Issue identification: 20121116 Publication information: Publication place: Fort Collins, Colorado Publisher: Marla C. Downing Online linkage: http://www.fs.fed.us/foresthealth/technology/invasives_agrilusplanipennis_riskmaps.shtml Larger work citation: Citation information: Originators: Downing, M. C., I. I. F. Leinwand, P. H. Chaloux, J. R. Withrow, and F. J. Sapio. 2011. Emerald Ash Borer (EAB) “Agrilus planipennis Fairmaire Risk Assessment” U.S. Forest Service Forest Health Technology Enterprise Team (FHTET) Forest Health Protection USDA Forest Service, http://www.fs.fed.us/foresthealth/technology/invasives_agrilusplanipennis_riskmaps.shtml Title: Detection Likelihood 2012 Surface for Agrilus planipennis the Emerald Ash Borer (EAB). Description: Abstract: The 2012 Detection Likelihood model for the Emerald Ash Borer (EAB), Agrilus planipennis, was produced for the Contiguous 48 United States (CONUS) at a 1 square kilometer (1 km2) resolution by the U.S. Forest Service, Forest Health Protection, Forest Health Technology Enterprise Team (FHTET), in collaboration with Animal and Plant Health Service, Plant Protection and Quarantine (APHIS PPQ) staff members. The intended use of the 2012 Detection Likelihood is to inform the 2013 EAB sample design. Pest information for EAB was taken from the Exotic Forest Pest (ExFor) website (http://foresthealth.fs.usda.gov/exfor). The likelihood of detecting EAB was modeled using the Maximum Entropy (MaxEnt) interpolation technique. MaxEnt identifies significant associations between presence and absence trap data from 2012 with selected site variables and then maps the probability of EAB presence in a geographic context. This non-parametric approach has been demonstrated to have utility for generating species distributions, because of its treatment of locations where a species has not been observed as pseudo-absence locations. Pseudo-absence is defined as a species being absent from an area for one of three reasons: 1) the habitat cannot support the species, 2) the species has not completely filled its geographic niche, or 3) the species is present but was not detected. For a species such as EAB that is still emerging and expanding into its full geographic range this is an appropriate modeling approach. Presence and absence EAB data from 2012 was provided by APHIS PPQ and state cooperators. Independent variables were investigated and selected to represent where EAB is likely to establish (Table 1). A bias raster, based on the autocorrelation of positive EAB locations, was used to correct for sampling biases. The MaxEnt bootstrap option was used to generate 100 iterations to develop an average Detection Likelihood model. For display purposes and ease of interpretation the data were partitioned into four classes (Table 2). Purpose: The product's intended use is to predict where A. planipennis is most likely to be detected in the U.S and to aid in the development of a detection and management strategy for A. planipennis. Emerald Ash Borer Detection Likelihood 2012 Surface Modeling datasets: EAB Positives 2002 to 2012– EAB trap catches and visual detection within the U.S. from 2002 to 2012, referred to as the “EAB presence-only” dataset. Acquired and compiled from APHIS PPQ and state cooperators. Input Variables: Elevation- Digital Elevation Model (DEM 30m) from National Elevation Dataset (NED) resampled (bilinear interpolation) to 1km resolution and converted from meters to feet. Distance to Rest Area- Euclidean distance from Rest Areas (POI Factory 2012 http://www.poifactory.com/node/14656). Rest area point locations were identified as potential introduction locations. Distance to Rest Area- Euclidean distance from Rest Areas (POI Factory 2012 http://www.poifactory.com/node/14656). Rest Area point locations were identified as potential introduction locations. Traffic Volume- Traffic Volume point locations, from across the U.S., were compiled from TrafficMetrix and used to interpolate a Traffic Volume raster using simple variable distance kriging. Road Density-Developed from rasterized 2003 Tele Atlas Dynamp Transportation v. 5.2 layer for each state at 100m. Density was calculated by summing the number of 100m road pixels within a 1 km pixel. Housing Density- Housing density data developed by Theobald (2005) using the 2000 U.S. census data. Moisture Surplus/ Deficit- 1, 3, 5 Year moisture surplus and deficit for 2010 from PRISM climate data (Koch 2011). Distance to Campground- Euclidean distance from campgrounds identified by federal and state cooperators. Campgrounds were identified as potential introduction locations. Urban Areas- Urban areas within the ash range identified as having a population greater than 100 persons per square mile from the 2000 census (Withrow 2010). References: Emerald Ash Borer Detection Likelihood 2012 Surface APHIS 2012, Compiled Traffic Volume data. Data compiled from “trafficmetrix” current year estimates, March 2011 Release. Market Planning Solutions Inc. (www.mpsisolutoins.com). Downing, M. C., I. I. F. Leinwand, P. H. Chaloux, J. R. Withrow, and F. J. Sapio. 2011. Emerald Ash Borer (EAB) “Agrilus planipennis Fairmaire Risk Assessment” U.S. Forest Service Forest Health Technology Enterprise Team (FHTET) Forest Health Protection USDA Forest Service, http://www.fs.fed.us/foresthealth/technology/invasives_agrilusplanipennis_riskmaps.shtml Koch, F.H.; Smith, W.D.; Coulston, J.W. In press. Recent drought conditions in the conterminous United States. Chapter 4 in Potter, K.M.; Conkling, B.L. (eds.) Forest Health Monitoring 2011 National Technical Report. Gen. Tech. Rep. SRS-xxx. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station. Kowalski, D. 2011. USDA APHIS PPQ, Personal communication 7/18/2011. POI Factory 2012. U.S. Rest Area point of interest. http://www.poi-factory.com/node/14656 Salesgenie, 2010. Campgrounds_SG. https://www.salesgenie.com Schaetzl, R.J., Krist, F.J. Jr., Stanley, K.E., and C.M. Hupy. 2009. The Natural Soil Drainage Index: An Ordinal Estimate of Long-Term, Soil Wetness. Physical Geography 30:383 409. http://www.geo.msu.edu/schaetzl/PDFs/DI%20paper.pdf Theobald, D. 2005. Landscape patterns of exurban growth in the USA from 1980 to 2020. Ecology and Society 10(1): 32. URL: http://www.ecologyandsociety.org/vol10/iss1/art32/. USDA APHIS PPQ, 2009. Campsites. Withrow, J. 2010. Production of Urban Host Layers. Deliverable document prepared for USDA Forest Service, Forest Health Protection, Forest Health Technology Enterprise Team (FHTET), Task Order No: AG7604-D-09-0542. WAO No: FHTET-10-Pest-Host. Data Display: Table 1: For display purposes and ease of interpretation the data were partitioned into the following four classes. Detection Likelihood Raster Value 0 to 0.05 0.05 to 0.25 0.25 to 0.50 0.50 to 1 Likelihood Class Low Moderate Moderate High High *Language of dataset: en Time period of content: Time period information: Single date/time: Calendar date: 20121116 Emerald Ash Borer Detection Likelihood 2012 Surface Currentness reference: publication date Status: Progress: Planned Maintenance and update frequency: As needed Spatial domain: Bounding coordinates: *West bounding coordinate: -128.146914 *East bounding coordinate: -65.086930 *North bounding coordinate: 51.759317 *South bounding coordinate: 22.714584 Local bounding coordinates: *Left bounding coordinate: -2370945.000000 *Right bounding coordinate: 2273055.000000 *Top bounding coordinate: 3189315.000000 *Bottom bounding coordinate: 255315.000000 Place: Place keywords: Conterminous United States Place keyword thesaurus: Lower 48 States Access constraints: None Use constraints: None Point of contact: Contact information: Contact organization primary: Contact person: Marla C. Downing Contact organization: Forest Health Technology Enterprise Team (FHTET) Forest Health Protection Contact position: FHTET Lead, Biological Scientist Contact address: Address type: mailing and physical address Address: 2150 Centre’ Ave., Bldg A, Suite 331 City: Fort Collins State or province: Colorado Postal code: 80526-1891 Country: USA Contact voice telephone: 970-295-5843 Contact electronic mail address: mdowning@fs.fed.us Hours of service: 9:00 AM - 5:00 PM MT Data set credit: Ian Leinwand Security information: Security classification: Unclassified Emerald Ash Borer Detection Likelihood 2012 Surface *Native dataset format: Raster Dataset *Native data set environment: ESRI ArcGIS 10.0 Cross reference: Citation information: Originators: Downing, M. C., I. I. F. Leinwand, P. H. Chaloux, J. R. Withrow, and F. J. Sapio. 2011. Emerald Ash Borer (EAB) “Agrilus planipennis Fairmaire Risk Assessment” U.S. Forest Service Forest Health Technology Enterprise Team (FHTET) Forest Health Protection USDA Forest Service, http://www.fs.fed.us/foresthealth/technology/invasives_agrilusplanipennis_riskmaps.shtml Spatial Reference Information: Horizontal coordinate system definition: Coordinate system name: *Projected coordinate system name: NAD_1983_Albers *Geographic coordinate system name: GCS_North_American_1983 Planar: Map projection: *Map projection name: Albers Conical Equal Area Albers conical equal area: *Standard parallel: 29.500000 *Standard parallel: 45.500000 *Longitude of central meridian: -96.000000 *Latitude of projection origin: 23.000000 *False easting: 0.000000 *False northing: 0.000000 Planar coordinate information: *Planar coordinate encoding method: row and column Coordinate representation: *Abscissa resolution: 1000 *Ordinate resolution: 1000 *Planar distance units: meters Geodetic model: *Horizontal datum name: North American Datum of 1983 *Ellipsoid name: Geodetic Reference System 80 *Semi-major axis: 6378137.000000 *Denominator of flattening ratio: 298.257222 Back to Top Spatial Data Organization Information: *Direct spatial reference method: Raster Raster object information: *Image format: GRID *Number of bands: 1 *Row count: 2934 *Column count: 4644 *Vertical count: 1 Emerald Ash Borer Detection Likelihood 2012 Surface *Cell size X direction: 1000.000000 *Cell size Y direction: 1000.000000 *Bits per pixel: 32 *Pyramid layers: TRUE *Image colormap: FALSE *Compression type: Default *Raster object type: Grid Cell *Raster display type: matrix values *Raster origin: Upper Left Distribution Information: Resource description: Downloadable Data Standard order process: Digital form: Digital transfer information: *Transfer size: 51.98 MB *Dataset size: 51.98 MB Metadata Reference Information: *Metadata date: 20121116 *Language of metadata: en Metadata contact: Contact information: Contact organization primary: Contact person: Marla C. Downing Contact organization: Forest Health Technology Enterprise Team (FHTET) USDA Forest Service Contact position: FHTET, Lead and Biological Scientist Contact address: Address type: mailing and physical address Address: 2150 Centre’ Ave., Bldg A, Suite 331 City: Fort Collins State or province: Colorado Postal code: 80526-1891 Country: USA Contact voice telephone: 970-295-5843 Contact electronic mail address: mdowning@fs.fed.us Hours of service: 9:00 AM - 5:00 PM MT Emerald Ash Borer Detection Likelihood 2012 Surface *Metadata standard name: FGDC Content Standards for Digital Geospatial Metadata *Metadata standard version: FGDC-STD-001-1998 *Metadata time convention: local time Metadata security information: Metadata security classification: Unclassified