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52 results for “Colorado River”
Subspecies and Distribution. S. p. putorius Linnaeus, 1758 — E & SE USA (Mississippi, Alabama & N Florida, through Georgia, N to SC Pennsylvania). S. p. ambarvalis Bangs, 1898 — SE USA (Peninsular Florida). S. p. interrupta Rafinesque, 1820 — USA (Canadian border in Minnesota, C North Dakota, E Wyoming, E Colorado, W Oklahoma, NW Texas, south to C Texas, and east to the Mississippi River along Louisiana, Arkansas, Missouri & Iowa, up to Wisconsin. in Mephitidae
Subspecies and Distribution. S. p. putorius Linnaeus, 1758 — E & SE USA (Mississippi, Alabama & N Florida, through Georgia, N to SC Pennsylvania). S. p. ambarvalis Bangs, 1898 — SE USA (Peninsular Florida). S. p. interrupta Rafinesque, 1820 — USA (Canadian border in Minnesota, C North Dakota, E Wyoming, E Colorado, W Oklahoma, NW Texas, south to C Texas, and east to the Mississippi River along Louisiana, Arkansas, Missouri & Iowa, up to Wisconsin.
Subspecies and Distribution. G.a.attwateriMerriam,1895—GulfcoastofSETexas(betweentheBrazosandNuecesrivers),USA. G. a. ammophilus Davis, 1940 — between Colorado and Guadalupe rivers in SE Texas, USA. in Geomyidae
Subspecies and Distribution. G.a.attwateriMerriam,1895—GulfcoastofSETexas(betweentheBrazosandNuecesrivers),USA. G. a. ammophilus Davis, 1940 — between Colorado and Guadalupe rivers in SE Texas, USA.
Subspecies and Distribution. D. m. microps Merriam, 1904 — SW USA (Owens River drainage of W Mojave Desert, S California). D. m. alfredi Goldman, 1937 — W USA (Gunnison I, Great Salt Lake, Utah). D. m. aquilonius Willett, 1935 — W USA (lower elevations of the Great Basin Desert of NE California and NW Nevada). D. m. bonneuvillei Goldman, 1937 — W USA (Great Basin Desert of NE Nevada and NW Utah, corresponding closely with the former outline of Pleistocene Lake Bonneville). D. m. celsus Goldman, 1924 — SW USA (possibly disjunct distribution in Virgin River Valley of SW Utah and adjacent NW Arizona). D. m. centralis Hall & Dale, 1939 — W USA (Great Basin Desert of C & E Nevada). D. m. idahoensis Hall & Dale, 1939 — W USA (restricted to the Snake River Valley, SW Idaho). D. m. leucotis Goldman, 1931 — SW USA (restricted distribution between the Vermilion Cliffs and the brink of Marble Canyon of the Colorado River in N Arizona). D. m. levipes Merriam, 1904 — SW USA (restricted to Panamint Valley, S California). D. m. occidentalis Hall & Dale, 1939 — SW USA (Great Basin Desert in W & S Nevada and disjunct, restricted populations in the W Mojave Desert, SE California). D. m. preblei Goldman, 1921 — W USA (Great Basin Desert of SE Oregon and NW Nevada). D. m. russeolus Goldman, 1939 — W USA (Dolphin I, Great Salt Lake, Utah). D. m. subtenuis Goldman, 1939 -W USA (Badger, Carrington, and Stansbury Is, Great Salt Lake, and S on the mainland to Cedar Valley, NC Utah). in Heteromyidae
Subspecies and Distribution. D. m. microps Merriam, 1904 — SW USA (Owens River drainage of W Mojave Desert, S California). D. m. alfredi Goldman, 1937 — W USA (Gunnison I, Great Salt Lake, Utah). D. m. aquilonius Willett, 1935 — W USA (lower elevations of the Great Basin Desert of NE California and NW Nevada). D. m. bonneuvillei Goldman, 1937 — W USA (Great Basin Desert of NE Nevada and NW Utah, corresponding closely with the former outline of Pleistocene Lake Bonneville). D. m. celsus Goldman, 1924 — SW USA (possibly disjunct distribution in Virgin River Valley of SW Utah and adjacent NW Arizona). D. m. centralis Hall & Dale, 1939 — W USA (Great Basin Desert of C & E Nevada). D. m. idahoensis Hall & Dale, 1939 — W USA (restricted to the Snake River Valley, SW Idaho). D. m. leucotis Goldman, 1931 — SW USA (restricted distribution between the Vermilion Cliffs and the brink of Marble Canyon of the Colorado River in N Arizona). D. m. levipes Merriam, 1904 — SW USA (restricted to Panamint Valley, S California). D. m. occidentalis Hall & Dale, 1939 — SW USA (Great Basin Desert in W & S Nevada and disjunct, restricted populations in the W Mojave Desert, SE California). D. m. preblei Goldman, 1921 — W USA (Great Basin Desert of SE Oregon and NW Nevada). D. m. russeolus Goldman, 1939 — W USA (Dolphin I, Great Salt Lake, Utah). D. m. subtenuis Goldman, 1939 -W USA (Badger, Carrington, and Stansbury Is, Great Salt Lake, and S on the mainland to Cedar Valley, NC Utah).
Subspecies and Distribution. P. l. longimembris Coues, 1875 — SW USA (Mojave Desert and Transverse Ranges, SW California). P. l. aestivus Huey, 1928 — NW Mexico (W base Sierra Juarez to Valle de la Trinidad, N Baja California). P.l. arizonensis Goldman, 1931 — SW USA (SC Utah and NC Arizona to SE Nevada). P. l.bangsi Mearns, 1898 — SW USA (W Colorado Desert of S California). P. l. bombycinus Osgood, 1907 — SW USA and NW Mexico (lower Colorado River Valley of SE California, SW Arizona, NE Baja California, and NW Sonora). P. l. brevinasus Osgood, 1900 — SW USA (arid coastal basins of SW California). P. l. gulosus Hall, 1941 — W USA (along the W margin of former Pleistocene Lake Bonneville in the Great Basin of E Nevada and W Utah). P. l. internationalis Huey, 1939 — SW USA and NW Mexico (SC California and adjacent NC Baja California). P. l. kinoensis Huey, 1935 — NW Mexico (disjunct and geographically restricted population along Bahia Kino, W Sonora), but may be extinct. P. l. nevadensis Merriam, 1894 — W USA (Great Basin of SE Oregon, NE California, and NC Nevada). P. l. pacificus Mearns, 1898 — SW USA (coastal plains of SW California to the USA-Mexico border). P. I. panamintinus Merriam, 1894 — SW USA (Great Basin of W Nevada and SE California). P. l. pimensis Huey, 1937 — SW USA (disjunct distribution in SC Arizona). P. l. salinensis Bole, 1937 — SW USA (restricted distribution in the Salinas Valley of SE California). P. l. tularensis Richardson, 1937 — SW USA (restricted distribution in the upper valley of the Kern River, SC California). P. l. venustus Huey, 1930 — NW Mexico (known only from the type locality of San Agustin, NC Baja California). in Heteromyidae
Subspecies and Distribution. P. l. longimembris Coues, 1875 — SW USA (Mojave Desert and Transverse Ranges, SW California). P. l. aestivus Huey, 1928 — NW Mexico (W base Sierra Juarez to Valle de la Trinidad, N Baja California). P.l. arizonensis Goldman, 1931 — SW USA (SC Utah and NC Arizona to SE Nevada). P. l.bangsi Mearns, 1898 — SW USA (W Colorado Desert of S California). P. l. bombycinus Osgood, 1907 — SW USA and NW Mexico (lower Colorado River Valley of SE California, SW Arizona, NE Baja California, and NW Sonora). P. l. brevinasus Osgood, 1900 — SW USA (arid coastal basins of SW California). P. l. gulosus Hall, 1941 — W USA (along the W margin of former Pleistocene Lake Bonneville in the Great Basin of E Nevada and W Utah). P. l. internationalis Huey, 1939 — SW USA and NW Mexico (SC California and adjacent NC Baja California). P. l. kinoensis Huey, 1935 — NW Mexico (disjunct and geographically restricted population along Bahia Kino, W Sonora), but may be extinct. P. l. nevadensis Merriam, 1894 — W USA (Great Basin of SE Oregon, NE California, and NC Nevada). P. l. pacificus Mearns, 1898 — SW USA (coastal plains of SW California to the USA-Mexico border). P. I. panamintinus Merriam, 1894 — SW USA (Great Basin of W Nevada and SE California). P. l. pimensis Huey, 1937 — SW USA (disjunct distribution in SC Arizona). P. l. salinensis Bole, 1937 — SW USA (restricted distribution in the Salinas Valley of SE California). P. l. tularensis Richardson, 1937 — SW USA (restricted distribution in the upper valley of the Kern River, SC California). P. l. venustus Huey, 1930 — NW Mexico (known only from the type locality of San Agustin, NC Baja California).
Distribution. USA and Mexico, from S Nebraska, SE Colorado, and SE Arizona E to Virginia, the Carolinas, Georgia, and Florida, and S through Texas to Nuevo Leon and Tamaulipas, with an isolated population in the lower Colorado River of SW Arizona, SE California, and extreme NW Sonora. in Cricetidae
Distribution. USA and Mexico, from S Nebraska, SE Colorado, and SE Arizona E to Virginia, the Carolinas, Georgia, and Florida, and S through Texas to Nuevo Leon and Tamaulipas, with an isolated population in the lower Colorado River of SW Arizona, SE California, and extreme NW Sonora.
VIC5 source code, parameter for the Colorado River Basin and USBR natural flow data records
<p>This parameter file is for VIC5 baseline simulation over the Colorado River basin.</p> <p>The spatial resolution is 1/16 degree.</p> <p>A few extra grid cells in the Mexico near the boarder is also unnecessarily included, which do not drainage to the CRB.</p> <p>Users can get rid of those pixels with a more precise domain mask.</p> <p>Also include VIC source code (see the readme.txt in the zipped file for details)</p> <p>The updates in Sep, 2022 includes the natural flow dataset used in the study for VIC streamflow evaluation</p>
On the Sensitivity of Future Hydrology in the Colorado River to the Selection of the Precipitation Partitioning Method
<p>This dataset contains the simulation results of the sensitivity of future hydrology to the selection of different precipitation partitioning method in the Colorado River Basin. The simulation is conducted with the Variable Infiltration Capacity (VIC) model at 8-km, hourly resolution from 1976-2095 (water year) and aggregated to 30-yr average for historical period (1976-2005) and far future period (2066-2095) in this dataset. </p> <p>The 30-yr average results are compressed and organized into three folders: <strong>TA</strong>, <strong>TW</strong>, and <strong>TWC</strong>. The filename of modeling results contains the associated experiments, GCM, and simulation period as follows: "fluxes.CRB.$EXP.$GCM.$PER.nc", where <em>$EXP</em> is the VIC experiments (TA, TW, and TWC), <em>$GCM</em> is the GCM used (eight in total), $PER is the simulation period (his, RCP45, and RCP85)</p> <p>More details can be found on the associated paper (this record will be updated when the paper is published):</p> <p>Wang, Z., Vivoni, E.R., Whitney, K.M., Xiao, M., and Mascaro, G. 2024. On the Sensitivity of Future Hydrology in the Colorado River to the Precipitation Partitioning Method. <em>Water Resources Research</em>. (In Revision). </p>
FIG. 1. Colorado Pikeminnow and Razorback Sucker larvae for this study were selected from 2009 in Otolith Microstructure Analysis Elucidates Spawning and Early Life Histories of Federally Endangered Fishes in the San Juan River
FIG. 1. Colorado Pikeminnow and Razorback Sucker larvae for this study were selected from 2009 to 2017 larval fish collections made in the San Juan River between reach 6, near Farmington, NM, and reach 1, near the terminus of the San Juan River in Lake Powell.
FIGURE 2 in A new fossil katydid of the genus Arethaea Stål (Orthoptera: Tettigoniidae) with exceptionally preserved internal organs from the Eocene Green River Formation of Colorado
FIGURE 2. Arethaea solterae sp. nov. (holotype male INHS-P2190-1). A, Habitus, right lateral view. B, Close-up view of head and pronotum.
FIGURE 1 in A new fossil katydid of the genus Arethaea Stål (Orthoptera: Tettigoniidae) with exceptionally preserved internal organs from the Eocene Green River Formation of Colorado
FIGURE 1. Map showing the surface geology and location of the collecting site (indicated by a red star) in northwestern Colorado, redrawn and modified from Self et al. (2010).
FIGURE 3 in A new fossil katydid of the genus Arethaea Stål (Orthoptera: Tettigoniidae) with exceptionally preserved internal organs from the Eocene Green River Formation of Colorado
FIGURE 3. Arethaea solterae sp. nov. (holotype male INHS-P2190-1). A, Wings. B, Thorax and abdomen with interpretation of internal structures. C, Metatibiae and metatarsi. Abbreviations: ag, accessory glands; fb, fat body; tes, testis; txm, thoracic muscles; vt, ventriculus (anterior midgut).
Data from: CO-RIP: a riparian vegetation and corridor extent dataset for Colorado River Basin streams and rivers
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Winter inputs buffer streamflow sensitivity to snowpack losses in the Salt River Watershed in the Lower Colorado River Basin
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Estimating densities of larval Salmonflies (Pteronarcys californica) through multiple pass removal of post-emergent exuvia in Colorado rivers
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The Colorado River Delta and California's Central Valley are critical regions for many migrating North American landbirds
<p>Migration is an important component of some species full annual cycle. California's Central Valley and the Colorado River Delta provide important riparian and wetland habitats for migrating waterbirds in the arid west of North America, but little is known about whether these locations are important at the population level to migrating landbirds. We used eBird Status and Trends abundance data to quantify the importance of the Central Valley and Colorado River Delta to landbirds by estimating the proportion of the breeding population of 112 species that use each site during migration. We found that ~17 million landbirds use the Colorado River Delta in the spring and ~14 million in the fall. Across four study regions in the Central Valley, up to ~65 million landbirds migrate through in the spring and up to ~48 million in the fall. In the spring and fall, respectively, up to 37 and up to 30 species had at least 1% of their continental population migrate through the study regions. We also quantified the spatial concentration of each species across latitudinal transects to determine the extent to which study regions were acting as migratory bottlenecks. Landbird abundances were spatially concentrated in study regions 29.4% of all migration weeks, indicating that each study region acts as a migratory bottleneck. This application of eBird data is a powerful approach to quantifying the importance of sites to migrating birds. Our results provide evidence of population-level importance of the Central Valley and Colorado River Delta for many migratory landbirds.</p>
The Colorado River Delta and California’s Central Valley are critical regions for many migrating North American landbirds
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Subspecies and Distribution. S.a.cienegaeA.B.Howell,1919—CArnizona,USA,StoCSonora,Mexico. S.a.majorBailey,1902—SSonora,Sinaloa,WDurango,andNayarit,Mexico. S. a. plenus Goldman, 1928 — lower Colorado River in E California and W Arizona, USA; extinct in S Nevada. in Cricetidae
Subspecies and Distribution. S.a.cienegaeA.B.Howell,1919—CArnizona,USA,StoCSonora,Mexico. S.a.majorBailey,1902—SSonora,Sinaloa,WDurango,andNayarit,Mexico. S. a. plenus Goldman, 1928 — lower Colorado River in E California and W Arizona, USA; extinct in S Nevada.
Depth to top of root or water soil restrictive layer (resdept) soil maps of the Upper Colorado River Basin
<p>The data here were originally posted to facilitate timely and transparent peer review. The final public data release with formal metadata is now available from at the following location:</p> <p>Nauman, T.W., and Duniway, M.C., 2020, Predictive soil property maps with prediction uncertainty at 30 meter resolution for the Colorado River Basin above Lake Mead: U.S. Geological Survey data release,<a href="http://https://doi.org/10.5066/P9SK0DO2"> https://doi.org/10.5066/P9SK0DO2</a>.</p> <p>Associated publication:</p> <p>Nauman, T. W., and Duniway, M. C., 2020, A hybrid approach for predictive soil property mapping using conventional soil survey data: Soil Science Society of America Journal, v. 84, no. 4, p. 1170-1194. <a href="https://doi.org/10.1002/saj2.20080">https://doi.org/10.1002/saj2.20080</a>.</p> <p>This version includes updated training data that accounts for making sure that if multiple restrictions are in a soil, the first is chosen. It also incorporates the updates in version 2 that included very deep soils with no restriction not included in version 1.</p> <p>Repository includes maps describing the depth (cm) to the top of any water or root soil restrictive layer (resdept) as defined by United States soil survey program.</p> <p>These data are preliminary or provisional and are subject to revision. They are being provided to meet the need for timely best science. The data have not received final approval by the U.S. Geological Survey (USGS) and are provided on the condition that neither the USGS nor the U.S. Government shall be held liable for any damages resulting from the authorized or unauthorized use of the data.</p> <p>The creation and interpretation of this data is documented in the following article.</p> <p>Nauman, T. W., and Duniway, M. C., 2020, A hybrid approach for predictive soil property mapping using conventional soil survey data: Soil Science Society of America Journal, v. 84, no. 4, p. 1170-1194.</p> <p>File Name Details:</p> <p>ACCURACY!! Please see manuscript and Github repository (https://github.com/usgs/Predictive-Soil-Mapping/tree/master/SoilSurvReconstrProperties) for full details on accuracy. We do provide 10-fold cross validation (CV) accuracy plots in this repository for the training sample (file ending _CV_plots.tif). These plots compare CV predictions with observed values relative to a 1:1 line. Values plotted near the 1:1 line are more accurate. Note that values are plotted in hex-bin density scatter plots because of the large number of observations (most are >3000).</p> <p>Elements are separated by underscore (_) in the following sequence:</p> <p>property_r_depth_cm_geometry_model_additional_elements.extension</p> <p>Example: resdept_r_cm_2D_QRF.tif</p> <p>Indicates depth to top of restriction (resdept; in cm) using a 2D model (separate model for each depth) employing a quantile regression forest. This file is the raster prediction map for this model. There may be additional GIS files associated with this file (e.g. pyramids) that have the same file name, but different extensions. </p> <p>The following elements may also exist on the end of filenames indicating other spatial files that characterize a given model's uncertainty (see below).</p> <p>_95PI_h: Indicates the layer is the upper 95% prediction interval value.</p> <p>_95PI_l: Indicates the layer is the lower 95% prediction interval value.</p> <p>_95PI_relwidth: Indicates the layer is the 95% relative prediction interval (RPI). The RPI is a standardization of the prediction interval that indicates that model is constraining uncertainty relative to the original sample. RPI values less than one represent uncertainty is being improved by the model relative to the original sample, and values less than 0.5 indicate low uncertainty in predictions. See paper listed above and also Nauman and Duniway (2019) for more details on RPI.</p> <p>References</p> <p> Nauman, T. W., and Duniway, M. C., 2019, Relative prediction intervals reveal larger uncertainty in 3D approaches to predictive digital soil mapping of soil properties with legacy data: Geoderma, Vol 347, pp 170-184.</p>
Available water capacity (awc) soil maps of the Upper Colorado River Basin
<p>The data here were originally posted to facilitate timely and transparent peer review. The final public data release with formal metadata is now available from at the following location:</p> <p>Nauman, T.W., and Duniway, M.C., 2020, Predictive soil property maps with prediction uncertainty at 30 meter resolution for the Colorado River Basin above Lake Mead: U.S. Geological Survey data release,<a href="http://https//doi.org/10.5066/P9SK0DO2"> https://doi.org/10.5066/P9SK0DO2</a>.</p> <p>Associated publication:</p> <p>Nauman, T. W., and Duniway, M. C., 2020, A hybrid approach for predictive soil property mapping using conventional soil survey data: Soil Science Society of America Journal, v. 84, no. 4, p. 1170-1194. <a href="https://doi.org/10.1002/saj2.20080">https://doi.org/10.1002/saj2.20080</a>.</p> <p>Repository includes maps of available water capacity as defined by United States soil survey program (1/3 to 15 bar).</p> <p>These data are preliminary or provisional and are subject to revision. They are being provided to meet the need for timely best science. The data have not received final approval by the U.S. Geological Survey (USGS) and are provided on the condition that neither the USGS nor the U.S. Government shall be held liable for any damages resulting from the authorized or unauthorized use of the data.</p> <p>The creation and interpretation of this data is documented in the following article. Please note this article has not been reviewed yet and this citation will be updated as the peer review process proceeds.</p> <p>Nauman, T. W., Duniway, M. C., In Preparation. Predictive reconstruction of soil survey property maps for field scale adaptive land management. Soil Science Society of America Journal.</p> <p>File Name Details:</p> <p>ACCURACY!! Please see manuscript and Github repository for full details on accuracy. We do provide cross validation (CV) accuracy plots in this repository for both the overall sample (NRCS field pedons plus NRCS laboratory pedons; file ending _CV_plots.tif) and for just the CV results at laboratory pedons (file ending _CV_SCD_plots.tif). These plots compare CV predictions with observed values relative to a 1:1 line. Values plotted near the 1:1 line are more accurate. Note that values are plotted in hex-bin density scatter plots because of the large number of observations (most are >3000).</p> <p>Elements are separated by underscore (_) in the following sequence:</p> <p>property_r_depth_cm_geometry_model_additional_elements.extension</p> <p>Example: awc_r_0_cm_2D_QRF.tif</p> <p>Indicates available water content (awc) at 0 cm depth using a 2D model (separate model for each depth) employing a quantile regression forest. This file is the raster prediction map for this model. There may be additional GIS files associated with this file (e.g. pyramids) that have the same file name, but different extensions.</p> <p>The following elements may also exist on the end of filenames indicating other spatial files that characterize a given model's uncertainty (see below).</p> <p>_95PI_h: Indicates the layer is the upper 95% prediction interval value.</p> <p>_95PI_l: Indicates the layer is the lower 95% prediction interval value.</p> <p>_95PI_relwidth: Indicates the layer is the 95% relative prediction interval (RPI). The RPI is a standardization of the prediction interval that indicates that model is constraining uncertainty relative to the original sample. RPI values less than one represent uncertainty is being improved by the model relative to the original sample, and values less than 0.5 indicate low uncertainty in predictions. See paper listed above and also Nauman and Duniway (In revision) for more details on RPI.</p> <p>References</p> <p> Nauman, T. W., and Duniway, M. C., In Revision, Relative prediction intervals reveal larger uncertainty in 3D approaches to predictive digital soil mapping of soil properties with legacy data: Geoderma.</p> <p> </p> <p> </p>
Salinity Yield Modeling Data - Upper Colorado River Basin, Nauman et al
<p>The data here were originally posted to facilitate timely and transparent peer review. The final public data release with formal metadata is now available from at the following location:</p> <p>Nauman, T.W., 2019, Salinity yield modeling spatial data for the Upper Colorado River Basin, USA: U.S. Geological Survey data release, <a href="https://doi.org/10.5066/P9QSFDJN">https://doi.org/10.5066/P9QSFDJN</a>.</p> <p>Associated publication:</p> <p>Nauman, T. W., Ely, C. P., Miller, M. P., and Duniway, M. C., 2019, Salinity Yield Modeling of the Upper Colorado River Basin Using 30-m Resolution Soil Maps and Random Forests: Water Resources Research, v. 55, no. 6, p. 4954-4973. <a href="https://doi.org/10.1029/2018WR024054">https://doi.org/10.1029/2018WR024054</a></p> <p>This data set was developed for salinity yield modeling in the Upper Colorado River Basin in preparation of the paper "Salinity yield modeling of the Upper Colorado River Basin using 30-meter resolution soil maps and machine learning" that is to be submitted to Water Resources Research. A github repository was also prepared to document the use of this data in the paper, and is available at https://github.com/naumi421/UCRB_Salinity.</p> <p>Please see the included file "README_SalinityYieldModel_documentation_initial_table_ReviewData.docx" for detailed descriptions of all included files.</p> <p>These data are preliminary or provisional and are subject to revision. They are being provided to meet the need for timely best science. The data have not received final approval by the U.S. Geological Survey (USGS) and are provided on the condition that neither the USGS nor the U.S. Government shall be held liable for any damages resulting from the authorized or unauthorized use of the data.</p>
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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