1,912 results — topic: Gunnison Basin

Dataset

SUMMA model output for surface hoar study

SUMMA model output for a single site in the East River Watershed, Colorado using downscaled forcings from the WUS-D3 dataset of downscaled CMIP6 GCMS. For a full description, see .

Rudisill, William2026DOI: 10.5281/zenodo.18636461
Dataset

UAV Imagery of Marmot Burrows in Colorado

UAV flights were conducted between August 26, 2024, and September 1, 2024, at and around the Rocky Mountain Biological Laboratory in the East River Valley, Gothic, Colorado, USA (38°57′ N, 106°59′ W; approximately 2900 m elevation). The study area included marmot colonies located in two core zones,

Duporge, Isla2026DOI: 10.6084/m9.figshare.29114009.v1
Dataset

Data from: Wild foundress queen bumble bees make numerous, short foraging trips and exhibit frequent nest failure: Insights from trap-nesting and RFID tracking

The overwhelming majority of research on wild bumble bees has focused on the social colony stage. Nest-founding queens in the early season are difficult to study because incipient nests are challenging to find in the wild, and the foundress queen's flight period is very short relative to the entire

Sarro Gustilo, Erica, Grover, William, Woodard, S. Hollis2026DOI: 10.5061/dryad.70rxwdc70Cited 1 times
Dataset

Herbarium specimens reliably track plant phenological responses to climate change in understudied montane biomes

File: Peng_et_al._20206.zip Description: There are three folders here. The Data folder contains the raw specimen phenology data and the RMBL phenology data. The Analyses folder contains the data frames used to build the linear mixed-effects models. The Codes folder contains R codes

peng, shijia, Inouye, Brian, Ramirez-Parada, Tadeo Hernan2026DOI: 10.5281/zenodo.18866958
Dataset

Herbarium specimens reliably track plant phenological responses to climate change in understudied montane biomes

File: Peng_et_al._20206.zip Description: There are three folders here. The Data folder contains the raw specimen phenology data and the RMBL phenology data. The Analyses folder contains the data frames used to build the linear mixed-effects models. The Codes folder contains R codes

peng, shijia, Inouye, Brian, Ramirez-Parada, Tadeo Hernan2026DOI: 10.5281/zenodo.18866957
Dataset

CHESS 2025: Field-collected vegetation attributes and site photos

This dataset represents field observations of vegetation samples collected as part of the Colorado Headwaters Ecological Spectroscopy Study (CHESS) during June and July of 2025. Samples were collected in the field using tablet computers and digital forms, with target data differing by sample type (i

Breckheimer, Ian, Carroll, Erin, Chadwick, K. Dana2026DOI: 10.15485/3014404
Dataset

SOS: Terrestrial Scanning Lidar Derived Land/Snow Surfaces. Version 1.0

Surface grids of the snow, ground, and vegetation surfaces derived from the six terrestrial scanning lidars that were deployed on three flux towers near Crested Butte, Colorado for the SOS (Sublimation of Snow) campaign. The data were collected to support the analysis of snow depth, snow surface var

Gutmann, E., Lundquist, J.2026DOI: 10.26023/a5yf-gd43-3900
Dataset

CHESS 2025: Leaf Area Index (LAI) for meadow, shrub, tree, and understory vegetation

This dataset contains Leaf Area Index (LAI) measurements made as part of the Colorado Headwaters Ecological Spectroscopy Study (CHESS) during June and July of 2025. Data were collected in the Upper Gunnison Basin, Colorado, across three study domains: the Upper East River (CRBU), Almont Triangle (AL

Todorov *, Sophia, Worsham *, H. Marshall, Breckheimer, Ian2026DOI: 10.15485/3022242
Dataset

SOS: Terrestrial Scanning Lidar L1 Upwind East Tower Raw Point Clouds. Version 1.0

Raw point clouds from the terrestrial scanning lidar #1 (L1) that was deployed on the upwind east flux tower near Crested Butte, Colorado for the SOS (Sublimation of Snow) campaign. The raw point clouds provide information about the distribution of blowing snow particles in the air in addition to va

Gutmann, E., Lundquist, J.2026DOI: 10.26023/1y3p-hsyz-0a09
Dataset

SOS: Terrestrial Scanning Lidar L2 Upwind East Tower Raw Point Clouds. Version 1.0

Raw point clouds from the terrestrial scanning lidar #2 (L2) that was deployed on the upwind east flux tower near Crested Butte, Colorado for the SOS (Sublimation of Snow) campaign. The raw point clouds provide information about the distribution of blowing snow particles in the air in addition to va

Gutmann, E., Lundquist, J.2026DOI: 10.26023/g9c5-pz82-ns0r
Dataset

SOS: Terrestrial Scanning Lidar L3 Upwind West Tower Raw Point Clouds. Version 1.0

Raw point clouds from the terrestrial scanning lidar #3 (L3) that was deployed on the upwind west flux tower near Crested Butte, Colorado for the SOS (Sublimation of Snow) campaign. The raw point clouds provide information about the distribution of blowing snow particles in the air in addition to va

Gutmann, E., Lundquist, J.2026DOI: 10.26023/gm9s-br2k-6a00
Dataset

SOS: Terrestrial Scanning Lidar L4 Upwind West Tower Raw Point Clouds. Version 1.0

Raw point clouds from the terrestrial scanning lidar #4 (L4) that was deployed on the upwind west flux tower near Crested Butte, Colorado for the SOS (Sublimation of Snow) campaign. The raw point clouds provide information about the distribution of blowing snow particles in the air in addition to va

Gutmann, E., Lundquist, J.2026DOI: 10.26023/h4ay-wsa3-ct0x
Dataset

SOS: Terrestrial Scanning Lidar L6 Downwind Tower Raw Point Clouds. Version 1.0

Raw point clouds from the terrestrial scanning lidar #6 (L6) that was deployed on the downwind flux tower near Crested Butte, Colorado for the SOS (Sublimation of Snow) campaign. The raw point clouds provide information about the distribution of blowing snow particles in the air in addition to valua

Gutmann, E., Lundquist, J.2026DOI: 10.26023/s2vd-jm09-a514
Article

Scaling Landscape Fire History: Wildfires Not Historically Frequent in the Main Population of Threatened Gunnison Sage-Grouse

The main population of ~5000 threatened Gunnison sage-grouse (GUSG; Centrocercus minimus) in Colorado depends on sagebrush plants that are killed by wildfires, with recovery taking decades, so frequent fire is a threat, but did it occur historically? Early land surveys showed that the historical (pr

Baker William L.2024FireDOI: 10.3390/fire7040120
Article

The Brown Derby No. 1 Pegmatite, Gunnison County, Colorado

Persson Philip M., Jacobson Mark Ivan2024Rocks & MineralsDOI: 10.1080/00357529.2023.2253105
Article

Diverse and unconventional methanogens, methanotrophs, and methylotrophs in metagenome-assembled genomes from subsurface sediments of the Slate River floodplain, Crested Butte, CO, USA

We use metagenome-assembled genomes (MAGs) to understand single-carbon (C1) compound-cycling-particularly methane-cycling-microorganisms in montane riparian floodplain sediments. We generated 1,233 MAGs (>50% completeness and n = 57). Methanogens, found only in deep, anoxic depths at SR, originate f

Rasmussen A. N., Tolar B. B., Bargar J. R.2024mSystemsDOI: 10.1128/msystems.00314-24Cited 7 times
Document

Upper Gunnison Water Conservancy District

An article published commenting on a previous letter published by the Denver Post stating that, not one drop of water may cross the mountain to Arapahoe Country.

gunnison_basinupper_gunnison
Document

Upper Gunnison River Water Conservancy District- Reasonable Diligence

Pete Klingsmith, Tyler Martineau, Ralph E. Clark. Upper Gunnison River Water Conservancy District.

gunnison_basinupper_gunnison
Document

Upper Gunnison River Water Conservancy District- Reasonable Diligence

Pete Klingsmith, Tyler Martineau, Ralph E. Clark. Upper Gunnison River Water Conservancy District.

gunnison_basinupper_gunnison
Document

Upper Gunnison Basin In-Stream Flow Project

Edward Sparling, David Harpman, Jim Booker, Carol Adams.

gunnison_basinupper_gunnison