This map represents estimated flow accumulation from a hydrologically corrected digital elevation model. The map was derived in GRASS GIS using a single flow-direction (D8) algorithm that does not allow channel braiding. Values represent the area (in square meters) of land that contributes flow to a

This is a hydrologically corrected digital elevation model derived from the 2018 NEON AOP dataset. It represents the height above sea level for impervious objects attached to the ground, such as buildings, but not vegetation. Bridges and culverts have been "cut" to allow realistic surface flow for h

This is a digital surface model from the 2018 NEON AOP dataset. It represents the height above sea level for objects attached to the ground, such as buildings. This version of the data includes the elevation of buildings and other non-vegetation objects such as bridges. Areas of deciduous vegetation

This is a digital surface model from the 2018 NEON AOP dataset. It represents the height above sea level for objects attached to the ground, such as buildings. This version of the data includes the elevation of buildings and other non-vegetation objects such as bridges, but areas of vegetation refle

This is a digital surface model from the 2018 NEON AOP dataset. It represents the height above sea level for objects attached to the ground, such as buildings and trees. This version of the data includes the elevation of the tops of deciduous vegetation, consistent with the data collection interval

1m Resolution bare-earth Digital Elevation Model for the Upper East River Derived from 2018 NEON AOP Data. This version has been re-processed to remove artifacts associated with sharp ridges and dense vegetation, and was based on original data from NEON: Goulden T ; Hass B ; Brodie E ; Chadwick K D

This data package contains a series of datasets aimed at understanding the seasonal origins of water used by the dominant conifer species, Abies lasiocarpa and Picea engelmannii, in the East River Watershed. There is a distinct difference in the stable isotopic ratio of summer rain and snowpack and

This data set includes all trails, bikeways and public paths within Gunnison County. It was created by RMBL GIS and is a compilation of trail data from multiple sources such as the Crested Butte Mountain Bike Association, US Forest Service and Gunnison County. The data download link goes to the shap

These are the US Forest Service designated districts for the Gunnison County area. This dataset was created in 2015 by Rocky Mountain Biological Lab GIS off documents and legal boundaries from the USFS. These districts are broken into 4 different districts: West Zone/Aspen Ranger District (White Riv

These are the parcel lands within Gunnison County that are either managed or owned by the US forest Service or the Bureau of Land Management. This layer was created by RMBL GIS, and is a subset of data from the original Exempt shapefile downloaded from the Gunnison County website. The data download

Airborne LiDAR data were acquired over the East River Watershed on June 8, 2015 to August 10, 2015. The area covered was approximately 4933 square kilometers with an average point density of 10-12 points per square meter to comply with USGS's QL1 standard. Additional products include the LiDAR point

Data comprise measurements of spectral reflectance for quaking aspen (Populus tremuloides Michx.) trees at a range of sites in southwestern Colorado near the town of Crested Butte. Spectra were measured in three different ways: hyperspectral measurements of leaves, hyperspectral measurements of bark

Fragmentation is ubiquitous across tropical forests and drives marked shifts in tree community composition by differentially affecting species’ dispersal, establishment and survival. Such compositional shifts can potentially alter ecosystem-level properties such as above-ground carbon storage, but o

Forest inventory surveys were initiated in 1965, repeated in 1977, and repeated at 5 year intervals after that; this data set was collected in summer of 2017. The inventory consists of a total inventory of all trees =10 cm diameter-at-breast-height (dbh) on the whole of the watershed (13.23 ha), as

Cleaned (quality checked) and continuous hourly records of snow energy and mass balance variables from Grand Mesa Study Plot (GMSP). GMSP is located in an opening in a pine forest on the northern rim of the Grand Mesa (39.050802, -108.061435) in west central Colorado at 3239 m. The site was funded b

Cleaned (quality checked) and continuous hourly records of snow energy and mass balance variables from Grand Mesa Study Plot (GMSP). GMSP is located in an opening in a pine forest on the northern rim of the Grand Mesa (39.050802, -108.061435) in west central Colorado at 3239 m. The site was funded b

Cleaned (quality checked) and continuous hourly records of snow energy and mass balance variables from Grand Mesa Study Plot (GMSP). GMSP is located in an opening in a pine forest on the northern rim of the Grand Mesa (39.050802, -108.061435) in west central Colorado at 3239 m. The site was funded b

Cleaned (quality checked) and continuous hourly records of snow energy and mass balance variables from Grand Mesa Study Plot (GMSP). GMSP is located in an opening in a pine forest on the northern rim of the Grand Mesa (39.050802, -108.061435) in west central Colorado at 3239 m. The site was funded b

Cleaned (quality checked) and continuous hourly records of snow energy and mass balance variables from Grand Mesa Study Plot (GMSP). GMSP is located in an opening in a pine forest on the northern rim of the Grand Mesa (39.050802, -108.061435) in west central Colorado at 3239 m. The site was funded b

Cleaned (quality checked) and continuous hourly records of snow energy and mass balance variables from Grand Mesa Study Plot (GMSP). GMSP is located in an opening in a pine forest on the northern rim of the Grand Mesa (39.050802, -108.061435) in west central Colorado at 3239 m. The site was funded b