287 results — topic: Alpine & Subalpine Ecology

Dataset

Forage Resources in Warming and Removal Plots, Almont, CO, 2019

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

Kenna Rewcastle, Karin Rand, Aimee Classen2026DOI: 10.6073/pasta/d3c06fb182d7c3f349b492afb1177a2e
Dataset

Forage Resources in Warming and Removal Plots, Almont, CO, 2019

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

Kenna Rewcastle, Karin Rand, Aimee Classen2026DOI: 10.6073/pasta/d3c06fb182d7c3f349b492afb1177a2e
Dataset

Meteorological and Soil Data from Ecohydrology Sensor Towers at Pump House and Snodgrass Mountain in East River Watershed, Colorado, 2019-2025

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

Wu, Yuxin, Chou, Chunwei, Beutler, Curtis2026DOI: 10.15485/3007697Cited 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

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

CHESS 2025: Location data for field observations and sampling

This dataset represents geolocation data associated with field observations and sampling from the Colorado Headwaters Ecological Spectroscopy Study (CHESS) during June and July of 2025. Location data were collected using Trimble DA2 Global Navigation Satellite System (GNSS) receivers with Trimble Ca

Henderson, Amanda, Breckheimer, Ian, Falco, Nicola2026DOI: 10.15485/3022418
Dataset

Depth-resolved sagebrush root metabolomics, rhizosphere microbial communities, and geochemistry at the East River Watershed

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

Li, Langlang, Munoz, Nathalie, Velickovic, Dusan2026DOI: 10.15485/3021477
Dataset

Surface Water Quality Data from Beaver-Impacted Streams; Trail Creek and East River, Colorado 2025

This data package contains surface water chemistry measurements collected in 2025 to evaluate how beaver damming and low-tech process-based stream restoration influence water quality and metal mobility in mountainous headwater systems of the Upper Colorado River Basin. Sampling was conducted at Trai

Sam Pierce, Jessica Pall2026DOI: 10.15485/3022760
Dataset

Data from Stewart et al. 2026 "Organic Colloid Composition in Variable-Redox Porewaters within a Mountainous Floodplain"

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

Brandy Stewart, Vincent Noel, Kristin Boye2026DOI: 10.15485/3016270
Dataset

Data From: "Warming and snow loss increase reliance on old groundwater in a Colorado River headwater"

This repository contains the data and code associated with the paper titled "Warming and snow loss increase reliance on old groundwater in a Colorado River headwater," published in Nature Geoscience, 2026. This study seeks to answer how various ages of groundwater interact with mountainous streamflo

Erica Siirila-Woodburn, Nicholas Thiros, Michelle Newcomer2026DOI: 10.15485/3013287
Dataset

Data for "Depth of nutrient uptake by deep-rooted plants is regulated by water availability"

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

Langlang Li, John Christensen, Markus Bill2026DOI: 10.15485/2998779Cited 1 times
Dataset

Geophysical survey associated with NEON AOP survey, East River, CO 2018

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

Nicola Falco, Jack Lamb, Jiancong Chen2026DOI: 10.15485/3013006
Dataset

Sindewald et al - Identifying alpine treeline species using high-resolution WorldView-3 multispectral imagery and convolutional neural networks dataset

The dataset contains region of interest (ROI) polygons for six treeline species found in Rocky Mountain National Park, CO. The tree and shrub species include limber pine (Pinus flexilis), willow (Salix glauca, Salix brachycarpa, and hybrids), Engelmann spruce (Picea engelmannii), subalpine fir (Abie

Sindewald, Laurel2025DOI: 10.5281/zenodo.14942410
Dataset

Sindewald et al - Identifying alpine treeline species using high-resolution WorldView-3 multispectral imagery and convolutional neural networks dataset

The dataset contains region of interest (ROI) polygons for six treeline species found in Rocky Mountain National Park, CO. The tree and shrub species include limber pine (Pinus flexilis), willow (Salix glauca, Salix brachycarpa, and hybrids), Engelmann spruce (Picea engelmannii), subalpine fir (Abie

Sindewald, Laurel2025DOI: 10.5281/zenodo.14942410
Dataset

Global Bee Interaction Data

Last modified: January 09, 2025 IntroductionThis dataset comprises all bee interactions indexed by Global Biotic Interactions (GloBI; Poelen et al. 2014). It is published quarterly by the Big Bee Project (Seltmann et al. 2021) to summarize all available knowledge about bee interactions from natural

Seltmann, Katja C, Poelen, Jorrit H., Global Biotic Interaction Community2025DOI: 10.5281/zenodo.14624975Cited 1 times
Dataset

Data for: Predicting the contribution of single trait evolution to rescuing a plant population from demographic impacts of climate change

Evolutionary adaptation can allow a population to persist in the face of a new environmental challenge. With many populations now threatened by environmental change, it is important to understand whether this process of evolutionary rescue is feasible under natural conditions, yet work on this topic

Campbell, Diane, Powers, John, Kipness, Justin2025DOI: 10.5061/dryad.ht76hdrtnCited 2 times
Dataset

Plant and carbon data, snowmelt manipulation experiment, Rocky Mountain Biological Laboratory (RMBL), 2023

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

Vought, Olivia K, Shulman, Hannah B, Breckheimer, Ian2025DOI: 10.6073/pasta/e8fe19fcfeacbcac13f0c3eb35208283Cited 1 times
Dataset

The impact of warming on peak-season ecosystem carbon uptake is influenced by dominant species in warmer sites

Climatic warming affects ecosystem-scale carbon fluxes directly through its impact on photosynthesis and respiration, and indirectly by altering the plant community. This study reports on a 10-year factorial warming and dominant plant species removal experiment, conducted in a high- and a low-elevat

Brinkhoff, Rose, Sanders, Nathan, Classen, Aimee2025DOI: 10.5061/dryad.6hdr7sr91Cited 1 times