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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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These data depict reptile species richness within the range of the Greater Sage-grouse. Species boundaries were defined as the total extent of a species geographic limits. This raster largely used species range data from "U.S. Geological Survey - Gap Analysis Project Species Range Maps CONUS_2001", however in order for a more complete picture of species richness, additional sources were used for species missing from the Gap Analysis program.
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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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This habitat model was developed to delineate suitable habitat for coastal cactus wren (Campylorhynchus brunneicapillus) in southern California. A primary purpose of the model is to identify potential restoration sites that may not currently support cactus patches required by wrens, but which are otherwise highly suitable. These are areas that could be planted with cactus to increase wren populations, an important management objective for many land managers. We used the Partitioned Mahalanobis D2 modeling technique to construct alternative models with different combinations of environmental variables. Variables were calculated at each point in the center of a 150 m x 150 m cell in a grid of points across the landscape....
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This Data Release accompanies the publication "State of stress in areas of active unconventional oil and gas development in North America" by J.-E. Lund Snee (now J.-E. Lundstern) and M.D. Zoback (2022) in the AAPG Bulletin. This dataset provides maximum horizontal stress (SHmax) orientation and relative stress magnitude (faulting regime) information that comprise a new-generation crustal stress map for North America. Relative stress magnitudes are presented using the Aϕ (A_phi) parameter, a single scalar that represents the ratio of the three principal stress magnitudes. Data were collected between 2015 and 2022. Data points for SHmax orientations, relative stress magnitudes, and the earthquake focal mechanisms...
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The Human Modification (HM) model is designed to provide a comprehensive, but parsimonious approach, that uses several stressor/threats datasets to estimate level of human modification. There are three important elements that define the HM approach: (a) the human modification stressors and their data sources (b) the measurement unit used for each stressor, and (c) the method used to combine the effects of multiple stressors into an overall score of human modification. The way in which these various data layers are combined into a single index is quite important. We use a method that minimizes bias associated with non-independence among several stressor/threats layers (Theobald 2013). The HM model assumes the contribution...
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The landscape permeability model represents the structural connectivity of sagebrush ecosystem habitat in the Green River Basin (including ~5-10 km boundary outside of the GRB. This model connects patches of habitat, across the landscape using resistances that represent the degree of human modification and slope (energetic costs), using the Multi-Scale Landscape Permeability model (Theobald et al. 2012; Theobald unpublished). We used two metrics: (a) patch importance and (b) betweeness centrality amongst patches. These metrics were summarized for each HUC12. This dataset represents the vulnerability of sagebrush ecosystem permeability to human modification summarized for each HUC12 watershed within the Green River...


    map background search result map search result map Human Modification Index for the Green River Basin Sagebrush Ecosystem Permeability Patch Importance and Flow Lines LEAN-corrected San Francisco Bay Digital Elevation Model, 2018 Reptile Richness in the Range of the Sage-grouse, Derived From Species Range Maps LEAN-Corrected Collier County DEM for wetlands Coastal Cactus Wren Habitat Suitability Model for Southern California (2015) Maximum horizontal stress orientation and relative stress magnitude (faulting regime) data throughout North America LEAN-corrected San Francisco Bay Digital Elevation Model, 2018 LEAN-Corrected Collier County DEM for wetlands Coastal Cactus Wren Habitat Suitability Model for Southern California (2015) Sagebrush Ecosystem Permeability Patch Importance and Flow Lines Human Modification Index for the Green River Basin Reptile Richness in the Range of the Sage-grouse, Derived From Species Range Maps Maximum horizontal stress orientation and relative stress magnitude (faulting regime) data throughout North America