Exotic Forest Insects and FreightTransportation in the U.S.

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Frequently-anticipated questions:


What does this data set describe?

Title: Exotic Forest Insects and FreightTransportation in the U.S.
Abstract:
This dataset depicts the origin (world regions) and destination data (U.S. urban area) of three categories of imported goods. It also depicts hypothetical risk levels of urban and periurban forest areas in the contiguous United States to introductions of exotic insects based solely on the amount of urban and periurban forestland and the tonnage of imported goods (rate of entry of exotic species is assumed to be proportional to the amount of tonnage). The selected imported goods are known to be pathways for the introduction of bark- and wood-infesting insects.
Supplemental_Information:
Colunga-Garcia M, RA Haack, and AO Adelaja. 2009. Freight transportation and the potential for invasions of exotic insects in urban and periurban forests of the United States. Journal of Economic Entomology 102: 237-246. The research resulting in this dataset was supported by a NRI-USDA/CSREES/Plant Biosecurity Program grant 2006-55605-16658.
  1. How should this data set be cited?

    REQUIRED: The name of an organization or individual that developed the data set., REQUIRED: The date when the data set is published or otherwise made available for release., Exotic Forest Insects and FreightTransportation in the U.S..

    Online Links:

    • \\MCG-E4300\C$\Work_2010\metroinvasive\datasets\EFI_FreightTransportation\EFI_FreightTransportation.shp

  2. What geographic area does the data set cover?

    West_Bounding_Coordinate: -124.412381
    East_Bounding_Coordinate: -67.280197
    North_Bounding_Coordinate: 48.990564
    South_Bounding_Coordinate: 24.582254

  3. What does it look like?

  4. Does the data set describe conditions during a particular time period?

    Calendar_Date: unknown
    Currentness_Reference: 2002

  5. What is the general form of this data set?

    Geospatial_Data_Presentation_Form: vector digital data

  6. How does the data set represent geographic features?

    1. How are geographic features stored in the data set?

      This is a Vector data set. It contains the following vector data types (SDTS terminology):

      • Entity point (36012)

    2. What coordinate system is used to represent geographic features?

      Horizontal positions are specified in geographic coordinates, that is, latitude and longitude. Latitudes are given to the nearest 0.000000. Longitudes are given to the nearest 0.000000. Latitude and longitude values are specified in Decimal degrees.

      The horizontal datum used is North American Datum of 1983.
      The ellipsoid used is Geodetic Reference System 80.
      The semi-major axis of the ellipsoid used is 6378137.000000.
      The flattening of the ellipsoid used is 1/298.257222.

  7. How does the data set describe geographic features?

    EFI_FreightTransportation

    FID
    Internal feature number. (Source: ESRI)

    Sequential unique whole numbers that are automatically generated.

    Shape
    Feature geometry. (Source: ESRI)

    Coordinates defining the features.

    World_Reg
    World Region (Freight Analysis Framework) (Source: <http://ops.fhwa.dot.gov/freight/freight_analysis/faf/index.htm>)

    SCTG_D
    2-digit Standard Classification of Transported Goods

    CODE
    Unique code to define each World Region x SCTG combinations

    UA
    Urban area code by the U.S. Census Bureau (including both urbanized area and urban cluster) (Source: <http://www.census.gov/geo/www/ua/ua_2k.html>)

    NAME
    Urban area name by the U.S. Census Bureau (including both urbanized area and urban cluster) (Source: <http://www.census.gov/geo/www/ua/ua_2k.html>)

    LON
    Longitude (NAD 83)

    LAT
    Latitude (NAD 83)

    U02
    Estimated gigagrams (thousand tonnes) of imported products arriving at an urban area after international and domestic movement of goods (Source: Journal of Economic Entomology 102: 237-246)

    MaxOfU02
    Total gigagrams (thousand tonnes) of imported products arriving at the U.S. for each World Region x SCTG combination. (Source: Journal of Economic Entomology 102: 237-246)

    ForestM2
    Forest landcover area (m2) within and around an urban area (square meters) out to a distance of 3 km (Source: Journal of Economic Entomology 102: 237-246)

    MaxOfFores

    Risk
    Risk of entry of an exotic forest insect into a urban area via commodity imports (Source: Journal of Economic Entomology 102: 237-246)

    Rank
    Rank (1 = highest) of an urban area based on risk of entry of an exotic forest insect into an urban areas for each World Region x SCTG combination (Source: Journal of Economic Entomology 102: 237-246)


Who produced the data set?

  1. Who are the originators of the data set? (may include formal authors, digital compilers, and editors)

  2. Who also contributed to the data set?

    Manuel Colunga-Garcia

  3. To whom should users address questions about the data?

    Manuel Colunga-Garcia
    Michigan State University

    colunga@msu.edu


Why was the data set created?

To determine what urban areas are more vulnerable to human-mediated invasions by exotic forest insects


How was the data set created?

  1. From what previous works were the data drawn?

  2. How were the data generated, processed, and modified?

  3. What similar or related data should the user be aware of?


How reliable are the data; what problems remain in the data set?


How can someone get a copy of the data set?

Are there legal restrictions on access or use of the data?

Access_Constraints: None
Use_Constraints: The data is free to use (acknowledging the source)

  1. Who distributes the data set?[Distributor contact information not provided.]

  2. What's the catalog number I need to order this data set?

    <http://metroinvasive.info>

  3. What legal disclaimers am I supposed to read?

  4. How can I download or order the data?


Who wrote the metadata?

Dates:
Last modified: 21-Jul-2010
Metadata author:
Michigan State University
c/o Manuel Colunga-Garcia
REQUIRED: The city of the address., REQUIRED: The state or province of the address. REQUIRED: The ZIP or other postal code of the address.

colunga@msu.edu

Metadata standard:
FGDC Content Standards for Digital Geospatial Metadata (FGDC-STD-001-1998)
Metadata extensions used:


Generated by mp version 2.9.6 on Wed Jul 21 09:46:04 2010