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

This is 1 meter resolution landcover map developed for the RMBL Spatial Data Platform. Source datasets include 2017 and 2019 4-band imagery from the National Aerial Imagery Program, and 2019 LiDAR data collected by Quantum Geospatial for the Colorado Hazard Mapping Program. The numeric codes for the

This is a 1 m resolution map of topographic slope (measured in degrees) computed using a 3*3 pixel kernel and Horn's formula. It is derived from a 1m resolution Digital Elevation Model (DEM) for the Upper Gunnison River derived from public LiDAR datasets. The primary data source was a 2019 LiDAR col

This is a 1 m resolution map of the relative "westness" of topographic aspect, computed from the cosine of the topographic aspect using the equation: cos(aspect_radians) * -1 Where the aspect is computed clockwise with east having a value of 0. In this map, east-facing aspects have a value of -1 and

This is a 1 m resolution map of the relative "southness" of topographic aspect, computed from the cosine of the topographic aspect using the equation: cos(aspect_radians) * -1 North-facing aspects have a value of -1 and south-facing aspects have a value of 1. East and west-facing aspects have a valu

This is a map of vegetation canopy cover or density for the Upper Gunnison River Basin based on 2015 and 2019 LiDAR data. Cover is measured as a proportion (0 representing no cover, and 1 representing complete cover). This measure of cover is the inverse of the canopy gap fraction. This dataset was

This is a map of 20th percentile canopy height above the ground for the Upper Gunnison River Basin based on 2015 and 2019 LiDAR data. Height is measured in meters. This dataset was generated from the terrain-normalized point clouds using functions in the R package lidR. The ground-classified points

This is a map of 20th percentile canopy height above the ground for the Upper Gunnison River Basin based on 2015 and 2019 LiDAR data. Height is measured in meters. This dataset was generated from the terrain-normalized point clouds using functions in the R package lidR. The ground-classified points

This is a map of vegetation canopy height above the ground for the Upper Gunnison River Basin based on 2015 and 2019 LiDAR data. Height is measured in meters. This dataset was generated from the original point clouds using a pit-free algorithm implemented in the R package lidR. The ground-classified

This is a map of vegetation understory cover or density for the Upper Gunnison River Basin based on 2015 and 2019 LiDAR data. Cover is measured as a proportion (0 representing no cover, and 1 representing complete cover). This dataset was generated from the normalized, elevation-corrected LiDAR poin

This is a 3 m resolution Digital Elevation Model (DEM) for the Upper Gunnison River domain derived from public LiDAR datasets. The primary data source was a 2019 LiDAR collection for Gunnison County. A small portion of the upper basin was not covered by this dataset, and for those areas, data from a

This is a 1 m resolution Digital Elevation Model (DEM) for the Upper Gunnison River domain derived from public LiDAR datasets. The primary data source was a 2019 LiDAR collection for Gunnison County. A small portion of the upper basin was not covered by this dataset, and for those areas, data from a

This dataset represents potential clear-sky incident solar radiation (in w/m^2) for day of year 355 (winter solstice), taking into account shading from topography, buildings, and vegetation greater than 1m in height. This map was generated with the GRASS GIS program r.sun and a subcanopy solar radia

This dataset represents potential clear-sky incident solar radiation (in w/m^2) for day of year 265 (fall equinox), taking into account shading from topography, buildings, and vegetation greater than 1m in height. This map was generated with the GRASS GIS program r.sun and a subcanopy solar radiatio

This dataset represents potential clear-sky incident solar radiation (in w/m^2) for day of year 172 (summer solstice), taking into account shading from topography, buildings, and vegetation greater than 1m in height. This map was generated with the GRASS GIS program r.sun and a subcanopy solar radia

This dataset represents potential clear-sky incident solar radiation (in w/m^2) for day of year 265 (fall equinox), taking into account shading from topography, buildings, and vegetation greater than 1m in height. This map was generated with the GRASS GIS program r.sun and a subcanopy solar radiatio

This dataset represents potential clear-sky incident solar radiation (in w/m^2) for day of year 355 (winter solstice), taking into account shading from topography and buildings, but not vegetation. This map was generated with the GRASS GIS program r.sun.

This dataset represents potential clear-sky incident solar radiation (in w/m^2) for day of year 172 (summer solstice), taking into account shading from topography and man-made structures, but not vegetation. This map was generated with the GRASS GIS program r.sun.

Individual differences in fecundity often serve as proxies for differences in overall fitness, especially when it is difficult to track the fate of an individual's offspring to reproductive maturity. Using fecundity may be biased, however, if density-dependent interactions between siblings affect su