98 datasets found
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Federal
Weekly Changes of Exotic Annual Grasses (EAG) abundance in the Sagebrush Biome, USA, 2024
Department of the Interior —
These datasets provide weekly differences of early estimates of 2024 fractional cover for exotic annual grass (EAG) that were released from April to late June. The... -
Federal
Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2024 (ver. 6.0, May 2024)
Department of the Interior —
These datasets provide early estimates of 2024 fractional cover for exotic annual grass (EAG) species and one native perennial grass species on a weekly basis from... -
Federal
Biological soil crust and vascular plant data from Horse Heaven Hills, Washington, measured in 1999 and remeasured in 2020
Department of the Interior —
This dataset contains biocrust lichen and moss cover at 186 plots at Horse Heaven Hills in Washington, USA. These data were measured by Jeanne Ponzetti in 1999 and... -
Federal
Near-real-time Herbaceous Annual Cover in the Sagebrush Ecosystem, (June 19, 2017)
Department of the Interior —
This dataset provides a near-real-time estimate of 2017 herbaceous annual cover with an emphasis on annual grass (Boyte and Wylie. 2016. Near-real-time cheatrass... -
Federal
Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2024
Department of the Interior —
These datasets provide early estimates of 2024 fractional cover for exotic annual grass (EAG) species and one native perennial grass species on a weekly basis from... -
Federal
Fractional Estimates of Multiple Exotic Annual Grass (EAG) Species in the Sagebrush Biome, USA - 2019
Department of the Interior —
This dataset release provides historical (2016 - 2023) estimates of fractional cover for Exotic Annual Grass (EAG) species and a native perennial bunch grass in the... -
Federal
Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2023 (ver. 6.0, May 2023)
Department of the Interior —
These datasets provide early estimates of 2023 fractional cover for exotic annual grass (EAG) species and one native perennial grass species on a weekly basis from... -
Federal
Annual Herbaceous Cover across Rangelands of the Sagebrush Biome
Department of the Interior —
Cheatgrass (Bromus tectorum) and other invasive annual grasses represent one of the single largest threats to the health and resilience of western rangelands. To... -
Federal
Maps of habitat suitability improvement potential for the Crawford Gunnison Sage-grouse (Centrocercus minimus) satellite population in Southwestern Colorado
Department of the Interior —
Habitat restoration efforts to conserve wildlife species are often conducted along a range of local site conditions, with limited information available to gauge... -
Federal
Predicted exotic annual grass abundance in rangelands of the western United States using various precipitation scenarios for 2022
Department of the Interior —
Invasion of exotic annual grass (EAG), such as cheatgrass (Bromus tectorum), red brome (Bromus rubens), and medusahead (Taeniatherum caput-medusae), could have... -
Federal
Early Estimates of Herbaceous Annual Cover in the Sagebrush Ecosystem (May 1, 2017)
Department of the Interior —
The dataset provides an estimate of 2017 herbaceous annual percent cover predicted on May 1st with an emphasis on annual grasses. The pixel values range from 0 to100... -
Federal
Fractional Estimates of Multiple Exotic Annual Grass (EAG) Species in the Sagebrush Biome, USA - 2023
Department of the Interior —
This dataset release provides historical (2016 - 2023) estimates of fractional cover for Exotic Annual Grass (EAG) species and a native perennial bunch grass in the... -
Federal
Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, May 2021, v1
Department of the Interior —
This dataset provides early estimates of 2021 exotic annual grasses (EAG) fractional cover predicted on May 3rd. We develop and release EAG fractional cover map with... -
Federal
Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2024 (ver. 9.0, June 2024)
Department of the Interior —
These datasets provide early estimates of 2024 fractional cover for exotic annual grass (EAG) species and one native perennial grass species on a weekly basis from... -
Federal
Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2022 (ver 4.0, June 2022)
Department of the Interior —
These datasets provide early estimates of 2022 fractional cover for exotic annual grass (EAG) species and one native perennial grass species on a bi-weekly basis from... -
Federal
Fractional Estimates of Multiple Exotic Annual Grass (EAG) Species in the Sagebrush Biome, USA - 2020
Department of the Interior —
This dataset release provides historical (2016 - 2023) estimates of fractional cover for Exotic Annual Grass (EAG) species and a native perennial bunch grass in the... -
Federal
Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2022 (ver 5.0, June 2022)
Department of the Interior —
These datasets provide early estimates of 2022 fractional cover for exotic annual grass (EAG) species and one native perennial grass species on a bi-weekly basis from... -
Federal
Early Estimates of Herbaceous Annual Cover in the Sagebrush Ecosystem (May 1, 2019)
Department of the Interior —
The dataset provides a spatially explicit estimate of 2019 herbaceous annual percent cover predicted on May 1st with an emphasis on annual grasses. The estimate is... -
Federal
Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2022 (ver 6.0, July 2022)
Department of the Interior —
These datasets provide early estimates of 2022 fractional cover for exotic annual grass (EAG) species and one native perennial grass species on a bi-weekly basis from... -
Federal
Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2023 (ver. 4.0, May 2023)
Department of the Interior —
These datasets provide early estimates of 2023 fractional cover for exotic annual grass (EAG) species and one native perennial grass species on a weekly basis from...
98 datasets found