382 results — topic: Soil Science

Dataset

Depth and elevation of floodplain fine sediment along the East River near Crested Butte, Colorado measured in 2016 and 2017.

The depth of floodplain fine sediment was measured at 1,601 points along the East River near Crested Butte, Colorado spanning a study reach approximately 800 m in length in 2016 and 2017. These depths are being used to estimate the volume of floodplain sediment present along the study reach, convert

Sutfin N, Rowland J2021DOI: 10.15485/1574502
Dataset

Hillslope subsurface flow and transport data for the PLM transect in East River, Colorado.

This file contains data used to calculate subsurface flow and transport at the Pumphouse Lower Montane (PLM) hillslope transect. Information includes locations, weather data, hydraulic conductivities, hydraulic head profiles, soil water profiles, depths to the water table, specific conductance (SC)

Tokunaga T, Carroll R, Conrad M2021DOI: 10.21952/WTR/1506941Cited 1 times
Dataset

Soil Nitrogen, Water Content, Microbial Biomass, and Archaeal, Bacterial and Fungal Communities from the East River Watershed, Colorado collected in 2016-2017.

This data set contains soil measurements made at the Pumphouse Hillslope to Floodplain transect at the locations of the early snowmelt-timing manipulation experiments in the East River Watershed in Colorado, USA. The data were collected in 2016 and 2017 to determine soil microbial responses to snow

Sorensen P, Brodie E, Beller H2021DOI: 10.15485/1577267Cited 3 times
Dataset

Plant species distribution within the Upper Colorado River Basin estimated by using hyperspectral and LiDAR airborne data.

This package is part of the Watershed Function SFA project and contains a remote sensing dataset acquired at the East River, Colorado. The remote sensing dataset is composed of vegetation maps computed from hyperspectral and LiDAR airborne data acquired by the NEON team in June 2018. The maps show t

Falco N, Balde A, Breckheimer I2021DOI: 10.15485/1602034Cited 3 times
Dataset

Predicting sedimentary bedrock subsurface weathering fronts and weathering rates: Dataset.

Although bedrock weathering strongly influences water quality and global carbon and nitrogen budgets, the weathering depths and rates within subsurface are not well understood nor predictable. Determination of both porewater chemistry and subsurface water flow are needed in order to develop more com

Wan J, Tokunaga T K, Williams K H2021DOI: 10.15485/1601290
Dataset

Genome-resolved metagenomics and metatranscriptomics of microbial communities in three meander-bound floodplain soils along the East River, Colorado.

This dataset comprises paired environmental and genomic data for soil samples collected across meander-bound floodplains G (ERMG), L (ERML) and Z (ERMZ). A total of 96 soil samples (32 per floodplain) from the ~ 10-25 cm layer were collected in September 2015, during base flow conditions. An additio

Matheus Carnevali P, Hobson C, Geller-McGrath D2021DOI: 10.15485/1631979Cited 1 times
Dataset

Genome-resolved metagenomics and metatranscriptomics of microbial communities in three meander-bound floodplain soils along the East River, Colorado.

This dataset comprises paired environmental and genomic data for soil samples collected across meander-bound floodplains G (ERMG), L (ERML) and Z (ERMZ). A total of 96 soil samples (32 per floodplain) from the ~ 10-25 cm layer were collected in September 2015, during base flow conditions. An additio

Matheus Carnevali P, Hobson C, Geller-McGrath D2021DOI: 10.15485/1631979Cited 1 times
Dataset

Sapflow and xylem water isotopes from Snodgrass Mountain, East River Watershed, Colorado USA.

This dataset includes sapflux and stable water isotopes of soil water and xylem water for aspen, fir and spruce trees along the Snodgrass Mountain transect in the East River Watershed, Colorado USA. The purpose of generating this dataset was to understand: (1) the total flux of water being used by t

Berkelhammer M2021DOI: 10.15485/1647654
Dataset

Time-domain reflectometer survey across the East River Watershed, Colorado.

Lawrence Berkeley National Laboratory (LBNL) collected near-surface point-measurements of soil temperature (file variable TDR_T(C)), volumetric water content (file variable TDR_SM(VWC%)), and soil electrical conductivity (file variable TDR_EC(mS/m)) using a time-domain reflectometer (TDR) at a depth

Falco N, Dafflon B, Devadoss J2021DOI: 10.15485/1648526
Dataset

Soil Environmental Conditions in the East River Watershed, CO.

This dataset contains depth-resolved soil environmental variables collected between June 2016 and October 2018 from the Bradley Meadow site in the East River watershed. Datalogger output from 7 Campbell CS655 12 cm Soil Moisture and Temperature Sensors including depth, temperature, volumetric water

Winnick M, Lawrence C, Maher K2021DOI: 10.15485/1660455
Dataset

Soil bulk density and texture data collected during field survey associated with NEON AOP survey, East River, CO 2018.

The purpose of soil core sampling was to determine soil bulk density, volumetric water content, and soil texture across the sites that were sampled in association with the National Ecological Observatory Network's Airborne Observation Platform (NEON AOP) in 2018. Soil cores were collected from surfa

Chadwick K D, Pierce S, Sirles M2021DOI: 10.15485/1671826
Dataset

Unsaturated and Saturated Hydraulic Parameters of Soils at the East River Watershed, Colorado Calculated using the Pedotransfer Function Method

The purpose of the data package is to present the results of calculations of the following unsaturated-saturated hydraulic parameters of soils of the East River Watershed, Colorado: fully saturated water content (Qs), residual saturation (Qr), van genuchten parameters alpha and n, field capacity (FC

Faybishenko B2021DOI: 10.15485/1734577Cited 2 times
Dataset

1 m Resolution Multiscale Height-above-stream Wetness Index for the Upper Gunnison Domain

This map is a soil moisture proxy derived from analysis of the UG 1m hydrologically corrected digital elevation model. The intuition behind this map is that areas that have flat topography and are near the elevation of local streams are likely to have high soil moisture. This index builds on the wor

Nobre, A. D., Cuartas, L. A., Hodnett2021
Thesis

Rare-Earth Element mineralization and formation of the Iron Hill carbonatite complex, Gunnison County, Colorado, USA

Erickson J.G.2015Digital Collections of Colorado (Colorado State University)
Article

Convergent ecosystem responses to 23-year ambient and manipulated warming link advancing snowmelt and shrub encroachment to transient and long-term climate–soil carbon feedback

Ecosystem responses to climate change can exert positive or negative feedbacks on climate, mediated in part by slow- moving factors such as shifts in vegetation community composition. Long-term experimental manipulations can be used to examine such ecosystem responses, but they also present another

Harte J., Saleska S., Levy C.2015Global Change BiologyDOI: 10.1111/gcb.12831Cited 93 times
Article

Interspecific competition between a non-native metal-hyperaccumulating plant (Noccaea caerulescens, Brassicaceae) and a native congener across a soil-metal gradient

Adaptive traits are hypothesised to incur fitness trade-offs, and a classical example is metal-tolerant plants that exhibit reduced competitive ability when grown on low-metal substrates. In the present study, we examined whether metal-hyperaccumulating plants exhibit a similar trade-off, by assessi

Che-Castaldo J., Inouye D. W.2015Australian Journal of BotanyDOI: 10.1071/bt15045Cited 14 times
Thesis

Quantitative mineralogy and distributions of minerals of the Green River Formation, Piceance Creek Basin, western Colorado

Over thirty-five minerals have been identified in the Green River formation of the Piceance Creek Basin, using quantitative X-Ray Diffraction (XRD) bulk analysis.Fifteen major phases occur at over 5 wt% average in 117 samples spanning the thickness of the formation.Integrated data from cores, outcro

Poole Sheven2014Digital Collections of Colorado (Colorado State University)
Article

Field germination and survival of experimentally introduced metal hyperaccumulator Noccaea caerulescens (Brassicaceae) across a soil metal gradient

Noccaea caerulescens (formerly Thlaspi caerulescens, Brassicaceae) is a model species for studying the genetics and physiology of metal hyperaccumulation and is economically valuable for phytoremediation. Its growth and survival under varying natural conditions remain relatively unstudied but such i

Che-Castaldo J. P., Inouye D. W.2014American Midland NaturalistDOI: 10.1674/0003-0031-171.2.229Cited 2 times
Document

For Reviewing Subdivision Plans in Colorado

US Department of Agriculture, Soil Conservation Service. 1973.

1973
Document

Using Soil Information for Land Planning in Colorado

Robert D. Heil & Joe Nichols. Colorado State University: Experiment Station. October 1971.

1971