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This dataset represents ease of access to bottomland areas for vegetation treatments. Access may be by road, 4x4 near road, hike in by field crews or requiring overnight camping or raft access. Access is considered for each side of the river separately.
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This data set shows the extent of the Colorado River Conservation Planning project bottomland area as delineated by topography and vegetation, The bottomland area is subdivided into 1 km polygons measured from the upstream project boundary. Reach breaks were determined by large topographic shifts and/or tributary junctions by John Dohrenwend. Please see the project report for more details.
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This is a model showing general habitat diversity, including both the structural and cover type diversity. See Open File Report, Rasmussen and Shafroth, Colorado River Conservation Planning for geoprocessing details.
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This dataset represents the relative average amount of non-woody cover within 2 ha) of bottomland along the Colorado River 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...
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This dataset represents the variety (unique structural classes: water, bare, herbaceous, short shrubs, medium shrubs, short trees, tall trees) within 1 ha of bottomland areas. 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 ground qualities. Due to the "snapshot" nature of the aerial photos,...
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This map shows the channel boundary (2011) of the Colorado River mainstem between the Utah Colorado border and the upper pool of Lake Powell, Utah (146 miles). The channel boundary was mapped from public available NAIP imagery flown on June 28, 2011, when the river flow was 886 m3/s at the Cisco gage. The channel is subdivided into channel types: fast water (main channel, secondary channel), and still water types (backwater, isolated pool and tributary channel).
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This data release presents observations of riparian vegetation, topography, sediment quality, and river corridor geomorphology in four river reaches of the Lower Virgin River extending downstream 62 river kilometers (rkm) from near the town of Littlefield (AZ) and the Arizona-Nevada border at rkm 119. Methods included field observations and analysis of remotely-sensed data before (2010) and after (2011-2012) a 40-year return period flood (December 2010, at the gaging station “Virgin River near Littlefield” (USGS gage #09415000)). The data release includes four .csv files related to field observations: UTM coordinates of field transect locations; vegetation and geomorphology; species codes; and sediment quality....
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Active channel as defined by remote sensing before (2010 and after (2011) a 40 year return period flood (December 2010) within the lower Virgin River, Nevada.
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These layers show the relative abundance of native, non-native and tree cover types as mapped for the Colorado River Conservation Planning Project. Relative abundance (Dominant, Common, Mapped by Sparse and Not Mapped) is determined by the listing of cover types per patch.
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Two models of fire risk are presented here. One shows risk of natural fire based on abundance of tamarisk and native trees only. The other shows risk of all fire, which includes abundance of tamarisk and native trees, but also proximity of human ignition sources (roads and campgrounds). Associated layers of the river channel at low flow and bottomland boundaries are included for reference.
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This dataset represents the prevalence of 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 map shows stillness of water near bank vegetation within 15 m of the channel boundary (2011) of the Colorado River mainstem between the Utah Colorado border and the upper pool of Lake Powell, Utah (146 miles). The channel boundary was mapped from public available NAIP imagery flown on June 28, 2011, when the river flow was 886 m3/s at the Cisco gage. The channel is subdivided into channel types: main channel, secondary channel, backwater, isolated pool and tributary channel.
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Our objective was to model minimum flow coefficient of variation (CV) on small, ungaged streams in the Upper Colorado River Basin. Modeling streamflows is an important tool for understanding landscape-scale drivers of flow and estimating flows where there are no gaged records. We focused our study in the Upper Colorado River Basin, a region that is not only critical for water resources but also projected to experience large future climate shifts toward a drier climate. We used a random forest modeling approach to model the relation between minimum flow CV (the standard deviation of annual minimum flows times 100 divided by the mean of annual minimum flows) on gaged streams (115 gages) and environmental variables....
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These data were compiled to understand the effects of riparian vegetation health on local abundance and species diversity of land birds. The primary objective of our study was to to determine the effects of riparian restoration on birds in the Colorado River delta. These tabular data represent vegetation indices and evapotranspiration (ET) data at varying spatial scales that correspond to avian use circles of 100 to 2000 meters. Three vegetation reflectance indices (VIs): NDVI, EVI, and EVI2 were obtained from Landsat imagery with a biweekly temporal frequency, and covering the entire period of bird surveys (2002-2020). The Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) and two-band...
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Removal of two large dams from the Elwha River, Washington USA, in 2011-2014 released ~20.5 metric tons (Mt) of impounded sediment, ~5.4 Mt of which was deposited in the river delta and estuary. This dataset presents measurements of geomorphic surfaces, vegetation colonization, and plant community development in the Elwha River delta and estuary after dam removal. Geomorphic surfaces and vegetation colonization were estimated from aerial imagery of the delta and estuary in 2016 and 2018. Plant community development was quantified from field plot surveys of pioneer plant communities on new surfaces in 2014 and 2018 and of established delta and estuarine plant communities on older surfaces in 2007, 2014, and 2018....
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This portion of the data release presents fish abundance data from samples collected in the Elwha River estuary, Washington, in 2006, 2007, 2013, and 2014 (no associated USGS Field Activities numbers because data were collected predominantly by biologists from the Lower Elwha Klallam Tribe). We used the Puget Sound beach seining protocol (Simenstad and others, 1991) to sample fish populations in the Elwha River estuary complex. The beach seine was 38 m long x 2 m deep, with a 2 m x 2 m bag in the center of the net; mesh size was 3.18 mm, 6.35 mm, and 31.75 mm, for the bag, center panel, and wings, respectively. The seine net was deployed from bank to bank by a small skiff and then pulled on shore. The number of...
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This portion of the data release presents terrestrial invertebrate abundance data from samples collected in emergent and shrub vegetation along the edge of the Elwha River estuary, Washington, in 2007 and 2013 (no associated USGS Field Activities numbers because data were collected predominantly by biologists from the Lower Elwha Klallam Tribe). We deployed terrestrial insect fallout traps at ten locations in the east estuary, five replicates each in shrub and emergent (littoral) vegetation habitats. Clear, rectangular traps (2,400 cm2 in 2007 and 3,526 cm2 in 2013) were filled with 5 cm of filtered soapy water and deployed for 72 hours. Invertebrate counts from 2013 were standardized to the 2007 bin size to account...
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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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To examine potential influence of tributaries on riparian habitat complexity along ~216 km of the Colorado River in Utah and ~300km of the Dolores River in Colorado and Utah, we first classified fluvial features and land cover of the bottomland on remotely sensed imagery. We then examined riparian and geomorphic patterns within the near channel zone with variably-sized spatial units. We used supervised image classification to create a 2-m resolution map of the primary land cover types within bottomlands of the Colorado and Dolores rivers, including two anthropogenic classes, four vegetation classes, bare ground, water and shadow. We selected these cover classes as major vegetation and land cover types that could...
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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...