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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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Preserving native species diversity is fundamental to ecosystem conservation. Selecting appropriate native species for use in restoration is a critical component of project design and may emphasize species attributes such as life history, functional type, pollinator services, and nutritional value for wildlife. Determining which species are likely to establish and persist in a particular environment is a key consideration. Species distribution models (SDMs) characterize relationships between species occurrences and the physical environment (e.g., climate, soil, topographic relief) and provide a mechanism for assessing which species may successfully propagate at a restoration site. In conjunction with information...
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Preserving native species diversity is fundamental to ecosystem conservation. Selecting appropriate native species for use in restoration is a critical component of project design and may emphasize species attributes such as life history, functional type, pollinator services, and nutritional value for wildlife. Determining which species are likely to establish and persist in a particular environment is a key consideration. Species distribution models (SDMs) characterize relationships between species occurrences and the physical environment (e.g., climate, soil, topographic relief) and provide a mechanism for assessing which species may successfully propagate at a restoration site. In conjunction with information...
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Preserving native species diversity is fundamental to ecosystem conservation. Selecting appropriate native species for use in restoration is a critical component of project design and may emphasize species attributes such as life history, functional type, pollinator services, and nutritional value for wildlife. Determining which species are likely to establish and persist in a particular environment is a key consideration. Species distribution models (SDMs) characterize relationships between species occurrences and the physical environment (e.g., climate, soil, topographic relief) and provide a mechanism for assessing which species may successfully propagate at a restoration site. In conjunction with information...
These data include potential Yuma Ridgway’s rail (Rallus obsoletus yumanensis) habitat classified from concurrently occurring Landsat images taken during telemetry field studies of and call count surveys for Yuma Ridgway's rail in 2016.
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Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing the expected inundation frequency. We generated a corrected digital elevation mode (DEM) for tidal marsh areas around San Francisco Bay using the Lidar Elevation Adjustment with NDVI (LEAN) technique (Buffington et al. 2016). Survey-grade GPS survey data (6614 points), NAIP-derived Normalized Difference Vegetation Index, and original 1 m lidar DEM from 2010 were used to generate a model of predicted bias across tidal marsh areas. The predicted bias was then subtracted from the original lidar DEM and merged with the NOAA...
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We evaluated the expected success of habitat recovery in priority areas under 3 different restoration scenarios: passive, planting, and seeding. Passive means no human intervention following a fire disturbance. Under a planting scenario, field technicians methodically plant young sagebrush saplings at the burned site. The seeding scenario involves distributing large amounts of sagebrush seeds throughout the affected area.
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Preserving native species diversity is fundamental to ecosystem conservation. Selecting appropriate native species for use in restoration is a critical component of project design and may emphasize species attributes such as life history, functional type, pollinator services, and nutritional value for wildlife. Determining which species are likely to establish and persist in a particular environment is a key consideration. Species distribution models (SDMs) characterize relationships between species occurrences and the physical environment (e.g., climate, soil, topographic relief) and provide a mechanism for assessing which species may successfully propagate at a restoration site. In conjunction with information...
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Preserving native species diversity is fundamental to ecosystem conservation. Selecting appropriate native species for use in restoration is a critical component of project design and may emphasize species attributes such as life history, functional type, pollinator services, and nutritional value for wildlife. Determining which species are likely to establish and persist in a particular environment is a key consideration. Species distribution models (SDMs) characterize relationships between species occurrences and the physical environment (e.g., climate, soil, topographic relief) and provide a mechanism for assessing which species may successfully propagate at a restoration site. In conjunction with information...
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Map of cumulative 38-day nest survival predicted from a Bayesian hierarchical shared frailty model of sage-grouse nest fates. The midpoint of coefficient conditional posterior distributions of 38-day nest survival were used for prediction at each 30 meter pixel across the landscape.
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Lidar-derived digital elevation models often contain a vertical bias due to vegetation. In areas with tidal influence the amount of bias can be ecologically significant, for example, by decreasing the expected inundation frequency. We generated a corrected digital elevation model (DEM) for wetlands throughout Collier county using a modification of the Lidar Elevation Adjustment with NDVI (LEAN) technique (Buffington et al. 2016). GPS survey data (15,223 points), NAIP-derived Normalized Difference Vegetation Index (2010), a 10 m lidar DEM from 2007, and a 10 m canopy surface model were used to generate a model of predicted bias across marsh, mangrove, and cypress habitats. The predicted bias was then subtracted from...
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Preserving native species diversity is fundamental to ecosystem conservation. Selecting appropriate native species for use in restoration is a critical component of project design and may emphasize species attributes such as life history, functional type, pollinator services, and nutritional value for wildlife. Determining which species are likely to establish and persist in a particular environment is a key consideration. Species distribution models (SDMs) characterize relationships between species occurrences and the physical environment (e.g., climate, soil, topographic relief) and provide a mechanism for assessing which species may successfully propagate at a restoration site. In conjunction with information...
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Preserving native species diversity is fundamental to ecosystem conservation. Selecting appropriate native species for use in restoration is a critical component of project design and may emphasize species attributes such as life history, functional type, pollinator services, and nutritional value for wildlife. Determining which species are likely to establish and persist in a particular environment is a key consideration. Species distribution models (SDMs) characterize relationships between species occurrences and the physical environment (e.g., climate, soil, topographic relief) and provide a mechanism for assessing which species may successfully propagate at a restoration site. In conjunction with information...
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Preserving native species diversity is fundamental to ecosystem conservation. Selecting appropriate native species for use in restoration is a critical component of project design and may emphasize species attributes such as life history, functional type, pollinator services, and nutritional value for wildlife. Determining which species are likely to establish and persist in a particular environment is a key consideration. Species distribution models (SDMs) characterize relationships between species occurrences and the physical environment (e.g., climate, soil, topographic relief) and provide a mechanism for assessing which species may successfully propagate at a restoration site. In conjunction with information...
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Preserving native species diversity is fundamental to ecosystem conservation. Selecting appropriate native species for use in restoration is a critical component of project design and may emphasize species attributes such as life history, functional type, pollinator services, and nutritional value for wildlife. Determining which species are likely to establish and persist in a particular environment is a key consideration. Species distribution models (SDMs) characterize relationships between species occurrences and the physical environment (e.g., climate, soil, topographic relief) and provide a mechanism for assessing which species may successfully propagate at a restoration site. In conjunction with information...
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Preserving native species diversity is fundamental to ecosystem conservation. Selecting appropriate native species for use in restoration is a critical component of project design and may emphasize species attributes such as life history, functional type, pollinator services, and nutritional value for wildlife. Determining which species are likely to establish and persist in a particular environment is a key consideration. Species distribution models (SDMs) characterize relationships between species occurrences and the physical environment (e.g., climate, soil, topographic relief) and provide a mechanism for assessing which species may successfully propagate at a restoration site. In conjunction with information...
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We evaluated nest site selection and nest survival both before and after a fire disturbance occurred. We then combined those surfaces to determine the areas which were most heavily impacted by the fire.
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These data represent an resource selection function (RSF) for translocated sage-grouse in North Dakota during the summer. Human enterprise has led to large‐scale changes in landscapes and altered wildlife population distribution and abundance, necessitating efficient and effective conservation strategies for impacted species. Greater sage‐grouse (Centrocercus urophasianus; hereafter sage‐grouse) are a widespread sagebrush (Artemisia spp.) obligate species that has experienced population declines since the mid‐1900s resulting from habitat loss and expansion of anthropogenic features into sagebrush ecosystems. Habitat loss is especially evident in North Dakota, USA, on the northeastern fringe of sage‐grouse’ distribution,...
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Preserving native species diversity is fundamental to ecosystem conservation. Selecting appropriate native species for use in restoration is a critical component of project design and may emphasize species attributes such as life history, functional type, pollinator services, and nutritional value for wildlife. Determining which species are likely to establish and persist in a particular environment is a key consideration. Species distribution models (SDMs) characterize relationships between species occurrences and the physical environment (e.g., climate, soil, topographic relief) and provide a mechanism for assessing which species may successfully propagate at a restoration site. In conjunction with information...
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Preserving native species diversity is fundamental to ecosystem conservation. Selecting appropriate native species for use in restoration is a critical component of project design and may emphasize species attributes such as life history, functional type, pollinator services, and nutritional value for wildlife. Determining which species are likely to establish and persist in a particular environment is a key consideration. Species distribution models (SDMs) characterize relationships between species occurrences and the physical environment (e.g., climate, soil, topographic relief) and provide a mechanism for assessing which species may successfully propagate at a restoration site. In conjunction with information...


map background search result map search result map LEAN-corrected San Francisco Bay Digital Elevation Model, 2018 Principal components of climate variation in the Desert Southwest for the future time period 2040-2070 (RCP 8.5) LEAN-Corrected Collier County DEM for wetlands Greater Sage-grouse Nest Survival, Nevada and California 2019 Summer RSF of Translocated Greater Sage-grouse in North Dakota, 2017 - 2018 Species Distribution Model (SDM) for Ambrosia dumosa in the Mojave Desert Species Distribution Model (SDM) for Amsinckia tessellata in the Mojave Desert Species Distribution Model (SDM) for Astragalus didymocarpus in the Mojave Desert Species Distribution Model (SDM) for Descurainia pinnata in the Mojave Desert Species Distribution Model (SDM) for Ericameria cooperi in the Mojave Desert Species Distribution Model (SDM) for Hilaria rigida in the Mojave Desert Species Distribution Model (SDM) for Larrea tridentata in the Mojave Desert Species Distribution Model (SDM) for Lupinus odoratus in the Mojave Desert Species Distribution Model (SDM) for Muhlenbergia porteri in the Mojave Desert Species Distribution Model (SDM) for Oenothera deltoides in the Mojave Desert Species Distribution Model (SDM) for Stephanomeria parryi in the Mojave Desert Species Distribution Model (SDM) for Yucca brevifolia in the Mojave Desert Rail Potential Habitat, Salton Sea, California, 2016 Sagebrush Restoration Under Passive, Planting, and Seeding Scenarios Following Fire Disturbance in the Virginia Mountains, Nevada (2018) Post-Fire Change in Greater Sage-Grouse Nest Selection and Survival in the Virginia Mountains, Nevada (2018) Rail Potential Habitat, Salton Sea, California, 2016 Post-Fire Change in Greater Sage-Grouse Nest Selection and Survival in the Virginia Mountains, Nevada (2018) Sagebrush Restoration Under Passive, Planting, and Seeding Scenarios Following Fire Disturbance in the Virginia Mountains, Nevada (2018) Summer RSF of Translocated Greater Sage-grouse in North Dakota, 2017 - 2018 LEAN-corrected San Francisco Bay Digital Elevation Model, 2018 LEAN-Corrected Collier County DEM for wetlands Species Distribution Model (SDM) for Ambrosia dumosa in the Mojave Desert Species Distribution Model (SDM) for Amsinckia tessellata in the Mojave Desert Species Distribution Model (SDM) for Astragalus didymocarpus in the Mojave Desert Species Distribution Model (SDM) for Descurainia pinnata in the Mojave Desert Species Distribution Model (SDM) for Ericameria cooperi in the Mojave Desert Species Distribution Model (SDM) for Hilaria rigida in the Mojave Desert Species Distribution Model (SDM) for Larrea tridentata in the Mojave Desert Species Distribution Model (SDM) for Lupinus odoratus in the Mojave Desert Species Distribution Model (SDM) for Muhlenbergia porteri in the Mojave Desert Species Distribution Model (SDM) for Oenothera deltoides in the Mojave Desert Species Distribution Model (SDM) for Stephanomeria parryi in the Mojave Desert Species Distribution Model (SDM) for Yucca brevifolia in the Mojave Desert Greater Sage-grouse Nest Survival, Nevada and California 2019 Principal components of climate variation in the Desert Southwest for the future time period 2040-2070 (RCP 8.5)