This is data collected to explore the impacts of warming and dominant species removal on the quantity and quality of plants for cattle foraging. The data were collected from the Colorado low elevation site (Almont) of the Warming and Removal in Mountains experiment which examines the direct and indi

This is data collected to explore the impacts of warming and dominant species removal on the quantity and quality of plants for cattle foraging. The data were collected from the Colorado low elevation site (Almont) of the Warming and Removal in Mountains experiment which examines the direct and indi

This data package includes hourly meteorological and soil sensor data at eight ecohydrology monitoring sites in East River Watershed, Colorado as part of the Watershed Function Scientific Focus Area (WFSFA) research led by Lawrence Berkeley National Lab (LBNL). Four field sites were located on the h

This data set consists of results from soil nutrient profile, untargeted metabolomics, mass spec imaging, and amplicon sequencing. Data for soil nutrient profile includes common cations (Ca, Mg, Na, and K etc.) extracted from 3 digesting steps – ammonia acetate (for exchangeable cations), nitric aci

A regression-based analysis quantifies how basin characteristics modulate the snow-to-streamflow signal. First, we use the ERA5-Land reanalysis gridded product (European Centre for Medium Range Weather Forecasts reanalysis 5 -Land component) for 4,655 hydrologic unit code - 10 (HUC10) mountain basin

Redox gradients, often driven by changes in sediment moisture levels in porous, heterogeneous groundwater systems, create dynamic conditions that may promote the production and transport of colloids within natural waters. While much research has focused on the inorganic composition of colloids, the

The data set consists of strontium (Sr) isotope ratios (87Sr/86Sr), water isotopes, soil cation concentrations, soil water potential sensor data, and results of 87Sr/86Sr mixing model. The plant canopy size files include the dataset of canopy dimension of sagebrush, lupine, and sunflower. The soil a

The package contains data layers developed and used in Falco et al. 2024: “EcoImaging: Advanced Sensing to Investigate Plant and Abiotic Hierarchical Spatial Patterns in Mountainous Watersheds". The package is part of the DOE Watershed Function Science Focus Area (SFA) project and includes geophysic

Climate change has brought intense disruptions to the natural patterns of growth and reproduction in sub-alpine ecosystems, generating changes to the food sources that Broad-tailed hummingbirds (Selasphorus platycerus), which breed in the Rocky Mountains, depend on. A hotter, dryer climate results i

The Soil, Vegetation, and snow model version 2.0 (SVS2) is a land surface model developed by Environment and Climate Change Canada (ECCC) to be used in the context of land surface prediction. SVS2 is described in a manuscript submitted to GMD (https://egusphere.copernicus.org/preprints/2025/eguspher

The Soil, Vegetation, and snow model version 2.0 (SVS2) is a land surface model developed by Environment and Climate Change Canada (ECCC) to be used in the context of land surface prediction. SVS2 is described in a manuscript submitted to GMD (https://egusphere.copernicus.org/preprints/2025/eguspher

The Soil, Vegetation, and snow model version 2.0 (SVS2) is a land surface model developed by Environment and Climate Change Canada (ECCC) to be used in the context of land surface prediction. SVS2 is described in a manuscript submitted to GMD (https://egusphere.copernicus.org/preprints/2025/eguspher

These data are from a 2023 snowmelt manipulation experiment in Vera Meadow at the Rocky Mountain Biological Laboratory. We experimentally advanced the snowmelt date in a montane meadow by approximately 12 days using black shade cloths and assessed the effect on plant and carbon dynamics. We measured

The Soil, Vegetation, and snow model version 2.0 (SVS2) is a land surface model developed by Environment and Climate Change Canada (ECCC) to be used in the context of land surface prediction. SVS2 is described in a manuscript submitted to GMD (https://egusphere.copernicus.org/preprints/2025/eguspher

Clyde E. Oakley. USDA Soil Conservation Service.

Gunnison Soil Conservation District