Skip to main content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

USDA Logo U.S. Department of Agriculture

Publication Details

Title:
2017 Ventenata dubia distribution in the Blue Mountains Ecoregion of Oregon, Washington, and Idaho - probability Data publication contains GIS data
Author(s):
Nietupski, Ty C.; Kerns, Becky K.
Publication Year:
2023
How to Cite:
These data were collected using funding from the U.S. Government and can be used without additional permissions or fees. If you use these data in a publication, presentation, or other research product please use the following citation:
Nietupski, Ty C.; Becky K. 2023. 2017 Ventenata dubia distribution in the Blue Mountains Ecoregion of Oregon, Washington, and Idaho - probability. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2022-0011
Abstract:
This data publication contains two (2) georeferenced raster (GeoTIFF) files representing the 2017 probability and probability classes of Ventenata dubia (ventenata) presence throughout the Blue Mountains Ecoregion located within Oregon, Washington, and Idaho. The Blue Mountains Ecoregion is part of the Environmental Protection Agency (EPA) Level III Ecoregion classification (https://www.epa.gov/eco-research/ecoregions). Presence of ventenata in these data was defined based on field observations of aerial cover, where 20% and greater cover was classified as presence and less than 20% cover was classified as absence. Thus, the probability and probability classes of ventenata presence corresponds to populations with greater than or equal to 20% cover (not individual ventenata plants). Field observations were aggregated from sources including the United States Department of Agriculture (USDA), Forest Service; the Bureau of Land Management (BLM); and Oregon State University (OSU). Ventenata was mapped using the random forests classification method with land surface phenology, climate, soils, and terrain attributes. The model was used to determine a probability threshold that is optimal for differentiating both presence and absence (Threshold = 0.58). This threshold was used to split the probability gradient into 6 classes, 2 classes below the threshold and 4 above.

Keywords:
Ventenata dubia; land surface phenology; mapping; invasive annual grass; species distribution modelling; remote sensing; Landsat; MODIS; time series; Joint Fire Science Program; JFSP; biota; imageryBaseMapsEarthCover; Ecology, Ecosystems, & Environment; Geography; Ecology; Plant ecology; Forest & Plant Health; Invasive species; Blue Mountains Ecoregion; Oregon; Washington; Idaho; Umatilla National Forest; Malheur National Forest; Wallowa-Whitman National Forest; Payette National Forest
Related publications:
  • Lemons, Rebecca E.; Dye, Alex W.; Kerns, Becky K. 2021. Ecosystem change in the Blue Mountains Ecoregion: Exotic invaders, shifts in fuel structure, and management implications. Joint Fire Science Program Final Report. JFSP # 16-1-01-21. (Report is included in full data publication download: \Supplements\16-1-01-21_final_report.pdf.). https://www.firescience.gov/projects/16-1-01-21/project/16-1-01-21_final_report.pdf
  • Nietupski, Ty C.; Kennedy, Robert E.; Temesgen, Hailemariam; Kerns, Becky K. 2021. Spatiotemporal image fusion in Google Earth Engine for annual estimates of land surface phenology in a heterogenous landscape. International Journal of Applied Earth Observation and Geoinformation. 99: 102323. https://doi.org/10.1016/j.jag.2021.102323 https://research.fs.usda.gov/treesearch/63024
  • Nietupski, Ty C. 2021. Characterizing an annual grass invasion and its link to environmental and disturbance factors using remote sensing: new tools and applications. Ph.D. Dissertation. Corvallis, OR: Oregon State University. (Included in data publication download: \Supplements\NietupskiTyC2021.pdf). https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/3n2046091
  • More (5 total)
Metrics:
Visit count : 130
Download count: 6
More details
Data Access:
  • View metadata (HTML)
  • View file index (HTML), which lists all files in this data publication and short description of their contents
  • Download all files below for the complete publication:

Need information about Using our Formats?