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This raster represents a continuous surface of sage-grouse habitat suitability index (HSI) values for northeastern California during summer (July to mid-October), which is a surrogate for habitat conditions during the sage-grouse brood-rearing period.
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This raster dataset represents groundwater-level change from 2007 to 2020 in Smith Valley and Mason Valley, Nevada, calculated using approach 2. For this approach, depth-to-water measurements from 53 monitoring wells, represented as point values, were differenced between 2006 and 2020. Point values of change were interpolated into a raster to calculate valley-wide groundwater-level change. Groundwater-level change was estimated using two methods (approach 1 and 2) to address groundwater-level measurement uncertainty and constrain groundwater-level change estimates.
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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 May to early July. The EAG estimates are developed typically within 7-13 days of the latest satellite observation used for that version. Each weekly release contains four fractional cover maps along with their corresponding confidence maps for: 1) a group of 16 species of EAGs, 2) cheatgrass (Bromus tectorum); 3) medusahead (Taeniatherum caput-medusae); and 4) Sandberg bluegrass (Poa secunda). These datasets were generated leveraging field observations from Bureau of Land Management (BLM) Assessment, Inventory, and Monitoring (AIM) data plots; Harmonized...
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This raster represents a continuous surface of sage-grouse habitat suitability index (HSI) values for Nevada. HSIs were calculated for spring, summer, and winter sage-grouse seasons, and then multiplied together to create this composite dataset.
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This raster represents a continuous surface of sage-grouse habitat suitability index (HSI) values for northeastern California during spring (mid-March to June), which is a surrogate for habitat conditions during the sage-grouse breeding and nesting period.
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This raster represents a continuous surface of sage-grouse habitat suitability index (HSI) values for northeastern California during the winter season (November to March), and is a surrogate for habitat conditions during periods of cold and snow.
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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 May to early July. The EAG estimates are developed within one week of the latest satellite observation used for that version. Each bi-weekly release contains four fractional cover maps along with their corresponding confidence maps for: 1) a group of 16 species of EAGs, 2) cheatgrass (Bromus tectorum); 3) medusahead (Taeniatherum caput-medusae); and 4) Sandberg bluegrass (Poa secunda). These datasets were generated leveraging field observations from Bureau of Land Management (BLM) Assessment, Inventory, and Monitoring (AIM) data plots; Harmonized Landsat...
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Invasion of exotic annual grass (EAG), such as cheatgrass (Bromus tectorum), red brome (Bromus rubens), and medusahead (Taeniatherum caput-medusae), could have irreversible degradation impact to arid and semiarid rangeland ecosystems in the western United States. The distribution and abundance of these EAG species are highly influenced by weather variables such as temperature and precipitation. We set out to develop a machine learning modelling approach using a lightGBM algorithm to predict how changes in annual and immediate past precipitation regimes impact the abundance of EAG in the study area. The predictive model primarily utilized edaphic and weather variables and a seed source proxy from previous years to...
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This raster dataset represents groundwater-level change from 2007 to 2020 in Smith Valley and Mason Valley, Nevada, calculated using approach 1. For this approach, groundwater-level contours from 2006 and 2020 were interpolated into rasters and differenced to calculate groundwater-level change. Groundwater-level change was estimated using two methods (approach 1 and 2) to address groundwater-level measurement uncertainty and constrain groundwater-level change estimates.
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This raster dataset represents groundwater-level change from 1970 to 2020 in Smith Valley and Mason Valley, Nevada, calculated using approach 1. For this approach, groundwater-level contours from 1970 and 2020 were interpolated into rasters and differenced to calculate groundwater-level change. Groundwater-level change was estimated using two methods (approach 1 and 2) to address groundwater-level measurement uncertainty and constrain groundwater-level change estimates.
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The dataset delineates ecological zones within California deserts. We derived ecological zones by reclassifying LANDFIRE vegetation biophysical setting types, plus defined various non-wildland (e.g. developed urban/agriculture/roads) and non-burnable (e.g. open water/barren) areas using LANDFIRE existing vegetation types. The 43 biophysical setting types present within the study area were grouped into 13 general vegetation types, which were further grouped into 4 elevation-based ecological zones plus one riparian zone according to their constituent plant associations.
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Five principal components are used to represent the climate variation in an original set of 12 composite climate variables reflecting complex precipitation and temperature gradients. The dataset provides coverage for future climate (defined as the 2040-2070 normal period) under the RCP8.5 emission scenarios. Climate variables were chosen based on their known influence on local adaptation in plants, and include: mean annual temperature, summer maximum temperature, winter minimum temperature, annual temperature range, temperature seasonality (coefficient of variation in monthly average temperatures), mean annual precipitation, winter precipitation, summer precipitation, proportion of summer precipitation, precipitation...
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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 May to early July. The EAG estimates are developed typically within 7-13 days of the latest satellite observation used for that version. Each weekly release contains four fractional cover maps along with their corresponding confidence maps for: 1) a group of 16 species of EAGs, 2) cheatgrass (Bromus tectorum); 3) medusahead (Taeniatherum caput-medusae); and 4) Sandberg bluegrass (Poa secunda). These datasets were generated leveraging field observations from Bureau of Land Management (BLM) Assessment, Inventory, and Monitoring (AIM) data plots; Harmonized...
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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 May to early July. The EAG estimates are developed typically within 7-13 days of the latest satellite observation used for that version. Each weekly release contains four fractional cover maps along with their corresponding confidence maps for: 1) a group of 16 species of EAGs, 2) cheatgrass (Bromus tectorum); 3) medusahead (Taeniatherum caput-medusae); and 4) Sandberg bluegrass (Poa secunda). These datasets were generated leveraging field observations from Bureau of Land Management (BLM) Assessment, Inventory, and Monitoring (AIM) data plots; Harmonized...
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This raster dataset depicts phase 1 pinyon-juniper expansion , where shrubs and herbs are the dominant vegetation and conifers occupy greater than zero percent to ten percent, intersecting documented sage-grouse habitat management categories (Coates et al., 2016a, Coates et al., 2016b). These data support the following publication: K. Benjamin Gustafson, Peter S. Coates, Cali L. Roth, Michael P. Chenaille, Mark A. Ricca, Erika Sanchez-Chopitea, Michael L. Casazza, Using object-based image analysis to conduct high- resolution conifer extraction at regional spatial scales, International Journal of Applied Earth Observation and Geoinformation, Volume 73, December 2018, Pages 148-155, ISSN 0303-2434, https://doi.org/10.1016/j.jag.2018.06.002....
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Map of nesting habitat selection scores predicted from a resource selection function (RSF) developed from sage-grouse nest locations. Nest site selection was modeled using a generalized linear mixed model of used and random locations in a Bayesian modeling environment, and the midpoint of coefficient conditional posterior distributions were used for prediction. Continuous values were reclassified and ranked using a percent isopleth approach with respect to observed nest locations.
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Five principal components are used to represent the climate variation in an original set of 12 composite climate variables reflecting complex precipitation and temperature gradients. The dataset provides coverage for current climate (defined as the 1980-2010 normal period). Climate variables were chosen based on their known influence on local adaptation in plants, and include: mean annual temperature, summer maximum temperature, winter minimum temperature, annual temperature range, temperature seasonality (coefficient of variation in monthly average temperatures), mean annual precipitation, winter precipitation, summer precipitation, proportion of summer precipitation, precipitation seasonality (coefficient of variation...
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This raster dataset represents groundwater-level change from 1996 to 2006 in Smith Valley and Mason Valley, Nevada, calculated using approach 2. For this approach, depth-to-water measurements from 53 monitoring wells, represented as point values, were differenced between 1996 and 2006. Point values of change were interpolated into a raster to calculate valley-wide groundwater-level change. Groundwater-level change was estimated using two methods (approach 1 and 2) to address groundwater-level measurement uncertainty and constrain groundwater-level change estimates.
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This raster dataset represents groundwater-level change from 1970 to 1995 in Smith Valley and Mason Valley, Nevada, calculated using approach 2. For this approach, depth-to-water measurements from 53 monitoring wells, represented as point values, were differenced between 1970 and 1995. Point values of change were interpolated into a raster to calculate valley-wide groundwater-level change. Depth-to-water was measured at the same 53 monitoring wells in 1995, 2006, and 2020. Depth-to-water measurements from 1970 were calculated by interpolating groundwater-level contours and extracting point values at the monitoring well locations. Groundwater-level change was estimated using two methods (approach 1 and 2) to address...
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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 May to early July. The EAG estimates are developed typically within 7-13 days of the latest satellite observation used for that version. Each weekly release contains four fractional cover maps along with their corresponding confidence maps for: 1) a group of 16 species of EAGs, 2) cheatgrass (Bromus tectorum); 3) medusahead (Taeniatherum caput-medusae); and 4) Sandberg bluegrass (Poa secunda). These datasets were generated leveraging field observations from Bureau of Land Management (BLM) Assessment, Inventory, and Monitoring (AIM) data plots; Harmonized...


map background search result map search result map Composite Habitat Suitability Index raster dataset Ecological zones of California deserts Sage-grouse habitat management categories within phase 1 Pinyon-Juniper expansion in Nevada and northeastern California, derived from 2016 and 2017 Raster Products Principal components of climate variation in the Desert Southwest for the time period 1980-2010 Principal components of climate variation in the Desert Southwest for the future time period 2040-2070 (RCP 8.5) Spring Season Habitat Suitability Index Raster Dataset Summer Season Habitat Suitability Index Raster Dataset Winter Season Habitat Suitability Index Raster Dataset Greater Sage-grouse Nest Selection, Nevada and California 2019 07) Groundwater-level change for Smith Valley and Mason Valley, Nevada, 2007-2020, approach 1 08) Groundwater-level change for Smith Valley and Mason Valley, Nevada, 1970-2020, approach 1 09) Groundwater-level change for Smith Valley and Mason Valley, Nevada, 1970-1995, approach 2 11) Groundwater-level change for Smith Valley and Mason Valley, Nevada, 2007-2020, approach 2 10) Groundwater-level change for Smith Valley and Mason Valley, Nevada, 1996-2006, approach 2 2. Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2022 (ver 3.0, May 18th, 2022) Predicted exotic annual grass abundance in rangelands of the western United States using various precipitation scenarios for 2022 Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2023 (ver. 5.0, May 2023) Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2023 (ver. 6.0, June 2023) Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2023 (ver. 7.0, June 2023) Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2023 (ver. 8.0, June 2023) 07) Groundwater-level change for Smith Valley and Mason Valley, Nevada, 2007-2020, approach 1 08) Groundwater-level change for Smith Valley and Mason Valley, Nevada, 1970-2020, approach 1 09) Groundwater-level change for Smith Valley and Mason Valley, Nevada, 1970-1995, approach 2 11) Groundwater-level change for Smith Valley and Mason Valley, Nevada, 2007-2020, approach 2 10) Groundwater-level change for Smith Valley and Mason Valley, Nevada, 1996-2006, approach 2 Spring Season Habitat Suitability Index Raster Dataset Summer Season Habitat Suitability Index Raster Dataset Winter Season Habitat Suitability Index Raster Dataset Sage-grouse habitat management categories within phase 1 Pinyon-Juniper expansion in Nevada and northeastern California, derived from 2016 and 2017 Raster Products Composite Habitat Suitability Index raster dataset Greater Sage-grouse Nest Selection, Nevada and California 2019 Ecological zones of California deserts Principal components of climate variation in the Desert Southwest for the future time period 2040-2070 (RCP 8.5) Principal components of climate variation in the Desert Southwest for the time period 1980-2010 2. Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2022 (ver 3.0, May 18th, 2022) Predicted exotic annual grass abundance in rangelands of the western United States using various precipitation scenarios for 2022 Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2023 (ver. 5.0, May 2023) Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2023 (ver. 6.0, June 2023) Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2023 (ver. 7.0, June 2023) Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2023 (ver. 8.0, June 2023)