U.S. flag

An official website of the United States government

Pacific Northwest Region (Region 6) Geospatial Data

    The Pacific Northwest Region (Region 6) of the US Forest Service contains 17 National Forests, two National Scenic Areas, a National Grassland, and two National Volcanic Monuments, all within the States of Oregon and Washington. These national forests provide timber for people, forage for cattle and wildlife, habitat for fish, plants, and animals, and some of the finest recreation lands in the country. This database contains links to the Pacific Northwest Forests with GIS data currently available online.

    Shawnee National Forest Geospatial Data

      GIS data is available on the Forest’s FTP site in the form of “shape files” or layers and is available free for downloading. To utilize these data layers you will need a program that uses the Geographic Information System (GIS) such as ESRI’s ArcMap, ArcView or the free map reading program ArcGIS Explorer. ArcGIS Explorer has tools that let you zoom in/out, print the map, and query data. It also has map tips to identify features, and a help menu. Included is a list of GIS data files available for the Shawnee National Forest. These GIS data files are updated on a continuing basis.

      The GRIN-Global Project

        GRIN-Global (GG) is a database application that enables genebanks to store and manage information associated with plant genetic resources (germplasm) and deliver that information globally. The GRIN-Global project's mission is to provide a scalable version of the Germplasm Resource Information Network (GRIN) suitable for use by any interested genebank in the world.

        Data from: Shoot transcriptome of the giant reed, Arundo donax

          The giant reed, *Arundo donax*, is a perennial grass species that has become an invasive plant in many countries. To establish a foundational molecular dataset, an llumina Hi-Seq protocol was used to sequence the transcriptome of actively growing shoots from an invasive genotype collected along the Rio Grande River, bordering Texas and Mexico. The assembly of 27,491 high confidence transcripts (≥200 bp) are reported with at least 70% coverage of known genes in other Poaceae species.

          IPM Images: The Source for Agriculture and Pest Management Pictures

            A joint project of The University of Georgia - Warnell School of Forestry and Natural Resources and College of Agricultural and Environmental Sciences, The Center for Invasive Species and Ecosystem Health, USDA National Institute of Food and Agriculture, Southern Integrated Pest Management Center, Southern Plant Diagnostic Network, and USDA/APHIS Identification Technology Program, [IPM Images](https://www.ipmimages.org/) image categories include: Commodity Groups; Taxonomy; Biological Controls; Damage Types; and Diseases.