2006 Ventenata dubia distribution in the Blue Mountains Ecoregion of Oregon, Washington, and Idaho - probability
Principal Investigator(s): View help for Principal Investigator(s) US Department of Agriculture; US Forest Service
Version: View help for Version V1
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Project Citation:
US Department of Agriculture, and US Forest Service. 2006 Ventenata dubia distribution in the Blue Mountains Ecoregion of Oregon, Washington, and Idaho - probability. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2026-06-03. https://doi.org/10.3886/E249232V1
Project Description
Project Title:
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2006 Ventenata dubia distribution in the Blue Mountains Ecoregion of Oregon, Washington, and Idaho - probability
Summary:
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This data publication contains two (2) georeferenced raster (GeoTIFF) files representing the 2006 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 2006 prediction of ventenata was produced from a model trained from land surface phenology in 2017. To improve model transferability, 2006 was chosen based on climatic similarity as measured by a drought severity index and RAWs weather station data. 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.
Original Distribution URL:
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https://www.fs.usda.gov/rds/archive/catalog/RDS-2022-0010
Scope of Project
Subject Terms:
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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;
Ecosystems;
Environment;
Geography;
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
Geographic Coverage:
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Oregon,
Washington,
Idaho
Time Period(s):
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2005 – 2007
Data Type(s):
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geographic information system (GIS) data
Collection Notes:
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DOI: https://doi.org/10.2737/RDS-2022-0010
Authors: Nietupski, Ty C. ; Kerns, Becky K.
Publication year: 2023 (Downloaded 2026-05-31)
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