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Steven L Garman

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Limits on the time and financial resources available for monitoring efforts, coupled with the complexities of natural resources and stakeholders, are challenges in resource monitoring. To help address these and related challenges, the USGS Monitoring Team (MT) has linked conceptual monitoring specialists with habitat and wildlife biologists to inform and develop creative, scientifically defensible approaches for monitoring the status and trends of populations and habitats across the WLCI region. This collaboration has led to spatially balanced monitoring designs that will make it possible to interpret conditions across the WLCI region and a mechanism for integrating species’ distributions and population responses...
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Data are composite estimates (and standard errors) of the percentage of sagebrush area in desired conditions for 13 vegetation and soil indicators of land health on Bureau of Land Management (BLM) lands in Wyoming. Composite estimates were obtained using composite estimation to combine estimates from two overlapping BLM terrestrial, field-based monitoring surveys: the Assessment, Inventory, and Monitoring terrestrial survey and the Landscape Monitoring Framework survey. Both are probability sample surveys. The case study area was sagebrush communities in Wyoming Greater Sage-Grouse (sage-grouse) Core and NonCore conservation areas on BLM lands in Western Association of Fish and Wildlife Agencies Greater Sage-Grouse...
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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 high oil and gas development, low population size, and no climate component. 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 (vertical and directional) and number...
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The recent proliferation of oil and natural gas energy development in the Greater Green River Basin of southwest Wyoming has accentuated the need to understand wildlife responses to this development. The location and extent of surface disturbance that is created by oil and natural gas well pad scars are key pieces of information used to assess the effects of energy infrastructure on wildlife populations and habitat. A digital database of oil and natural gas pad scars had previously been generated from 1-meter (m) National Agriculture Imagery Program imagery (NAIP) acquired in 2009 for a 7.7-million hectare (ha) (19,026,700 acres) region of southwest Wyoming (Garman and McBeth, 2014). Scars included the pad area...
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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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