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  2. USGS Rangeland Exotic Plant Monitoring System
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  4. Fractional Estimates of Multiple Exotic Annual Grass (EAG) Species in the Sagebrush Biome, USA, 2016 - 2023 (ver. 4.0, July 2024)
  5. Fractional Estimates of Multiple Exotic Annual Grass (EAG) Species in the Sagebrush Biome, USA - 2017

Fractional Estimates of Multiple Exotic Annual Grass (EAG) Species in the Sagebrush Biome, USA - 2017

Dates

Publication Date
Info Date
2017
Last Revision
2024-07-25

Citation

Dahal, D., Boyte, S.P., Postma, K., Pastick, N.J., and Megard, L., 2021, Fractional Estimates of Multiple Exotic Annual Grass (EAG) Species in the Sagebrush Biome, USA, 2016 - 2023 (ver. 4.0, July 2024): U.S. Geological Survey data release, https://doi.org/10.5066/P9GC5JVG.

Summary

This dataset release provides historical (2017) estimates of fractional cover for Exotic Annual Grass (EAG) species and a native perennial bunch grass in the arid and semi-arid rangelands of the western United States. The dataset includes four fractional cover maps per year, accompanied by corresponding confidence maps, for a group of 16 species of EAGs, Cheatgrass (Bromus tectorum); Medusahead (Taeniatherum caput-medusae); and Sandberg Bluegrass (Poa secunda).

Contacts

Point of Contact :
Devendra Dahal (CTR)
Originator :
Devendra Dahal, Stephen P. Boyte, Kory Postma, Neal J. Pastick, Logan J. Megard
Metadata Contact :
Audra J Griebel
Publisher :
U.S. Geological Survey
SDC Data Owner :
Earth Resources Observation and Science (EROS) Center
USGS Mission Area :
Core Science Systems
Distributor :
U.S. Geological Survey - ScienceBase

Attached Files

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Fractional_EAG_all_species_2017_metadata.xml
Original FGDC Metadata
View 		106.85 KB application/fgdc+xml
1 GB image/tiff
337.88 MB image/geotiff
918.78 MB image/tiff
367.04 MB image/geotiff
thumbnail 315.72 MB image/tiff
thumbnail 184.64 MB image/tiff
627.53 MB image/tiff
249.07 MB image/geotiff

Purpose

The purpose for these datasets is to provide historical context with spatially explicit exotic annual grasses abundance in the study area. Appropriate use of the data should be defined by the user; however, this data comes with caveats. First, these estimates should be viewed as relative abundances. Second, comparing this dataset to similar datasets with different spatial resolutions or different dates can lead to substantial differences between dataset values.

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