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We developed spatial summary (GIS) layers for a study of factors influencing the distribution of cave and karst associated fauna within the Appalachian Landscape Conservation Cooperative region, one of 22 public-private partnerships established by the United States Fish and Wildlife Service to aid in developing landscape scale solutions to conservation problems (https://lccnetwork.org/lcc/appalachian). We gathered occurrence data on cave-limited terrestrial and aquatic troglobiotic species from a variety of sources within the Appalachian LCC region covering portions of 15 states. Occurrence records were developed from the scientific literature, existing biodiversity databases, personal records of the authors, museum...
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We developed spatial summary (GIS) layers for a study of factors influencing the distribution of cave and karst associated fauna within the Appalachian Landscape Conservation Cooperative region, one of 22 public-private partnerships established by the United States Fish and Wildlife Service to aid in developing landscape scale solutions to conservation problems (https://lccnetwork.org/lcc/appalachian). We gathered occurrence data on cave-limited terrestrial and aquatic troglobiotic species from a variety of sources within the Appalachian LCC region covering portions of 15 states. Occurrence records were developed from the scientific literature, existing biodiversity databases, personal records of the authors, museum...
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wy_lvl5_coarsescale: Wyoming hierarchical cluster level 5 (coarse-scale) for Greater sage-grouse We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies that identify the processes and mechanisms causing population trends to change among spatial scales. The spatial variability in the amount and quality of habitat resources can affect local population success and result in different...
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wy_lvl4_moderatescale: Wyoming hierarchical cluster level 4 (moderate-scale) for Greater sage-grouse We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies that identify the processes and mechanisms causing population trends to change among spatial scales. The spatial variability in the amount and quality of habitat resources can affect local population success and result...
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wy_lvl1_finescale: Wyoming hierarchical cluster level 1 (fine-scale) for Greater sage-grouse We developed a hierarchical clustering approach that identifies biologically relevant landscape units that can 1) be used as a long-term population monitoring framework, 2) be repeated across the Greater sage-grouse range, 3) be used to track the outcomes of local and regional populations by comparing population changes across scales, and 4) be used to inform where to best spatially target studies that identify the processes and mechanisms causing population trends to change among spatial scales. The spatial variability in the amount and quality of habitat resources can affect local population success and result in different...
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This dataset represents the prevalence of tamarisk (tamarisk penalty) as mapped along the Colorado River bottomland from the Colorado state line (San Juan and Grand Counties, Utah) to the southern Canyonlands NP boundary, as of September 2010. Traditional image interpretation cues were used to develop the polygons, such as shape, size, pattern, tone, texture, color, and shadow, from high resolution, true color, aerial imagery (0.3m resolution), acquired for the project. Additional, public available aerial photos (NAIP, 2011) were used to cross-reference cover classes. As with any digital layer, this layer is a representation of what is actually occurring on the ground. Errors are inherent in any interpretation of...
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This dataset represents the diversity of woody cover types (averaged per 1.5 ha) as mapped along the Colorado River bottomland from the Colorado state line (San Juan and Grand Counties, Utah) to the southern Canyonlands NP boundary, as of September 2010. This mapping was conducted as part of the Colorado River Conservation Planning Project, a joint effort between the National Park Service, The Nature Conservancy, US Geological Survey, Bureau of Land Management, and Utah Forestry Fire and State Lands.
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This is a habitat suitability model riparian understory species in the Colorado River bottomland in Utah. The model incorporates the density of shrubs, the number of shrub species present, and the stillness of adjacent water.
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This data set defines boundaries of oil and gas project areas, greater sage-grouse (Centrocercus urophasianus) core areas, and non-core and non-project areas within the Wyoming Landscape Conservation Initiative (WLCI; southwestern Wyoming). Specifically, the data represents results from the manuscript “Combined influences of future oil and gas development and climate on potential Sage-grouse declines and redistribution” for low oil and gas development, low population size, and with effects of climate change under an RCP 8.5 scenario (2050). The oil and gas development scenario were based on an energy footprint model that simulates well, pad, and road patterns for oil and gas recovery options that vary in well types...
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The NABat sampling frame is a grid-based finite-area frame spanning Canada, the United States, and Mexico consisting of N total number of 10- by 10-km (100-km2) grid cell sample units for the continental United States, Canada, and Alaska and 5- by 5-km (25km2) for Hawaii and Puerto Rico. This grain size is biologically appropriate given the scale of movement of most bat species, which routinely travel many kilometers each night between roosts and foraging areas and along foraging routes. A Generalized Random-Tessellation Stratified (GRTS) Survey Design draw was added to the sample units from the raw sampling grids (https://doi.org/10.5066/P9M00P17). This dataset represents the final 2018 NABat Sampling grid with...
This sampling frame is a set of grid-based finite-area frames spanning Canada, the United States, and Mexico. The grid for the United States is broken into individual grids for the continental United States, Hawaii, and Puerto Rico. Alaska is combined with Canada into a single grid. Each country/state/territory extent consists of four nested sampling grids at 50x50km, 10x10km, 5x5km, and 1x1km resolutions. The original 10x10km continental United States grid was developed by the Forest Service, U.S. Department of Agriculture for use in the interagency “Bat Grid” monitoring program in the Pacific Northwest and was expanded across Canada, the United States, and Mexico for the North American Bat Monitoring Program (NABat)....
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We used the 1951/1960 historical imagery of the Escalante River, Utah in ArcGIS to quantify channel area and average width and quantify woody riparian vegetation cover in two reaches of the river. Reach 1 was approximately 15 river kilometers (rkms) long and located between Sand and Boulder creeks within Grand Staircase Escalante National Monument. For Reach 1 we used the earliest available imagery which was from 1960. Reach 2 was approximately 16 rkms in length, extending from the Glen Canyon National Recreation Area boundary to just upstream of Choprock Canyon. For Reach 2 the earliest imagery was from 1951. We delineated the extent of active channel. Active channel was defined as the portion of the channel free...
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This dataset represents the prevalence of native trees as mapped along the Colorado River bottomland from the Colorado state line (San Juan and Grand Counties, Utah) to the southern Canyonlands NP boundary, as of September 2010. This mapping was conducted as part of the Colorado River Conservation Planning Project, a joint effort between the National Park Service, The Nature Conservancy, US Geological Survey, Bureau of Land Management, and Utah Forestry Fire and State Lands.
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This dataset represents the presence/absence of non-native, woody and herbaceous cover types in vegetation patches, as mapped from high resolution imagery from 2010. Each type (woody or herbaceous) requires different techniques, equipment and approaches, impacting treatment costs. This mapping was conducted as part of the Colorado River Conservation Planning Project, a joint effort between the National Park Service, The Nature Conservancy, US Geological Survey, Bureau of Land Management, and Utah Forestry Fire and State Lands.
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This dataset represents the prevalence of tamarisk as mapped along the Colorado River bottomland from the Colorado state line (San Juan and Grand Counties, Utah) to the southern Canyonlands NP boundary, as of September 2010. photos, this cover layer reflects conditions that existed when the imagery was collected (September, 2010). This mapping was conducted as part of the Colorado River Conservation Planning Project, a joint effort between the National Park Service, The Nature Conservancy, US Geological Survey, Bureau of Land Management, and Utah Forestry Fire and State Lands.
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This is a fire risk model for riparian trees on the Colorado River bottomland in Utah. The model incorporates the prevalence of riparian trees and tamarisk, and proximity to human caused ignition sources (campgrounds and roads). See Open File Report, Rasmussen and Shafroth, Colorado River Conservation Planning, for geoprocessing details.


map background search result map search result map Cave and Karst Biota Modeling in the Appalachian LCC - Predicted troglobiotic fish in all 20km grid cells in karst Cave and Karst Biota Modeling in the Appalachian LCC - Observed springtails in 20km grid cells Conservation Planning for the Colorado River in Utah - Tamarisk Penalty for Riparian Overstory Model Conservation Planning for the Colorado River in Utah - Diversity of Woody Structure for Riparian Overstory Model Conservation Planning for the Colorado River in Utah - Riparian Understory Model Output Data for Colorado River in Utah Conservation Planning for the Colorado River in Utah - Distance to Permanent Water for Rocky Fringe Snakes Model Conservation Planning for the Colorado River in Utah - Structural Types of Non-Native Species for Relative Cost of Restoration Model Conservation Planning for the Colorado River in Utah - Density of Native Riparian Trees for Fire Risk Model Conservation Planning for the Colorado River in Utah - Density of Tamarisk for Fire Risk Model Conservation Planning for the Colorado River in Utah - Fire Risk Model with Human Ignition Sources Output Data for Colorado River in Utah Cottonwood Lake Study Area-Wetland Vegetation Zones-1988 Cottonwood Lake Study Area-Wetland Vegetation Zones-2000 Cottonwood Lake Study Area-Wetland Vegetation Zones-2009 A polygon shapefile of bottomland vegetation cover and geomorphic features of the Escalante River, Utah mapped from 1951/1960 aerial imagery Attributed North American Bat Monitoring Program (NABat) Master Sample and Grid-Based Sampling Frame: Canada North American Grid-Based Sampling Frame: Continental United States at a 1x1km resolution Greater sage-grouse population change (percent change) over 50-years in a low oil and gas development, low population estimate scenario, and with effects of climate change under an RCP 8.5 scenario (2050) Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 1 (Wyoming), Interim Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 4 (Wyoming), Interim Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 5 (Wyoming), Interim Cottonwood Lake Study Area-Wetland Vegetation Zones-1988 Cottonwood Lake Study Area-Wetland Vegetation Zones-2000 Cottonwood Lake Study Area-Wetland Vegetation Zones-2009 A polygon shapefile of bottomland vegetation cover and geomorphic features of the Escalante River, Utah mapped from 1951/1960 aerial imagery Conservation Planning for the Colorado River in Utah - Riparian Understory Model Output Data for Colorado River in Utah Conservation Planning for the Colorado River in Utah - Structural Types of Non-Native Species for Relative Cost of Restoration Model Conservation Planning for the Colorado River in Utah - Diversity of Woody Structure for Riparian Overstory Model Conservation Planning for the Colorado River in Utah - Tamarisk Penalty for Riparian Overstory Model Conservation Planning for the Colorado River in Utah - Density of Tamarisk for Fire Risk Model Conservation Planning for the Colorado River in Utah - Density of Native Riparian Trees for Fire Risk Model Conservation Planning for the Colorado River in Utah - Fire Risk Model with Human Ignition Sources Output Data for Colorado River in Utah Conservation Planning for the Colorado River in Utah - Distance to Permanent Water for Rocky Fringe Snakes Model Greater sage-grouse population change (percent change) over 50-years in a low oil and gas development, low population estimate scenario, and with effects of climate change under an RCP 8.5 scenario (2050) Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 1 (Wyoming), Interim Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 4 (Wyoming), Interim Hierarchically nested and biologically relevant monitoring frameworks for Greater Sage-grouse, 2019, Cluster Level 5 (Wyoming), Interim Cave and Karst Biota Modeling in the Appalachian LCC - Observed springtails in 20km grid cells Cave and Karst Biota Modeling in the Appalachian LCC - Predicted troglobiotic fish in all 20km grid cells in karst North American Grid-Based Sampling Frame: Continental United States at a 1x1km resolution Attributed North American Bat Monitoring Program (NABat) Master Sample and Grid-Based Sampling Frame: Canada