220 results — topic: Field Methods & Monitoring

Dataset

Talus Surface & Subsurface Temperature Data from Oregon & Colorado, USA, 2011-2019

Between 2011 and 2019, temperature data loggers were buried in rocky talus patches (hereafter “sites”) potentially occupied by American pikas (Ochotona princeps). Data collection spanned three ecoregions: Grand Mesa, Colorado (GRME), Mt. Hood, Oregon (MTHO), and the Columbia River Gorge, Oregon (CRG

Varner, Johanna2021DOI: 10.6073/pasta/587086c613040697e0a25ba50c7379fb
Dataset

SnowEx20 SnowEx Grand Mesa Automated Meteorological and Snow Station Observations 2016-2021, version 1

Houser, Paul, Elder, Kelly2021DOI: 10.5067/g24180ldpmp3
Dataset

Talus Surface & Subsurface Temperature Data from Oregon & Colorado, USA, 2011-2019

Between 2011 and 2019, temperature data loggers were buried in rocky talus patches (hereafter “sites”) potentially occupied by American pikas (Ochotona princeps). Data collection spanned three ecoregions: Grand Mesa, Colorado (GRME), Mt. Hood, Oregon (MTHO), and the Columbia River Gorge, Oregon (CRG

Varner, Johanna2021DOI: 10.6073/pasta/587086c613040697e0a25ba50c7379fb
Dataset

Total metals & anion concentration data; Slate River floodplain, Crested Butte, CO; May 2020-September 2020

This data package includes processed and undiluted measurements for metal and anion concentrations from pore water (groundwater) samples from the Slate River floodplain of Crested Butte, CO, a focus field site for the SLAC Floodplain Hydro-Biogeochemistry SFA. The data was generated as part of the w

Pierce, Samuel, Bargar, John2021DOI: 10.15485/1810547
Dataset

Specific conductivity, pH, dissolved oxygen, water temperature, alkalinity and sulfide in-situ data; Slate River floodplain, Crested Butte, CO; May 2020-October 2020

This data package includes a time-series of field measurements from May to October 2020 in groundwater and surface water from the Slate River floodplain in Crested Butte, CO, a focus field site for the SLAC Floodplain Hydro-Biogeochemistry SFA. The data was generated as part of the work targeting th

Pierce, Samuel, Bargar, John2021DOI: 10.15485/1813302Cited 1 times
Dataset

Long-term changes in flowering synchrony reflect climatic changes across an elevational gradient

These are the data with the accompanying R code used in the article Long-term changes in flowering synchrony reflect climatic changes across an elevational gradient , by Fisogni A, de Manincor N, Bertelsen CD, and Rafferty NE. We provide the raw data on flowering phenology, temperature and precipita

Fisogni Alessandro, de Manincor Natasha, Bertelsen C. David2021DOI: 10.5281/zenodo.5586297Cited 1 times
Dataset

Sensor-based phenology from snowmelt experiment gradient, East River, Colorado, 2017 to 2020

The timing of snowmelt is a critical cue for the initiation of growth in mountain meadow ecosystems and can also impact the duration and magnitude of plant production. High frequency observations of species-level phenology are time consuming and require a high degree of expertise, and publicly avail

Heidi Steltzer, Amanda Henderson, Chelsea Wilmer2021DOI: 10.15485/1842910
Dataset

Surface soil temperature and water content from warming experiment located at the Rocky Mountain Biological Laboratory, Colorado, 2015 to 2019

This data package consists of soil temperature and soil water content sensor data from the warming experiment near the Rocky Mountain Biological Laboratory. Data range is from summer 2015 to summer 2019, when the warming manipulation was terminated. The location of the warming experiment is in the u

Heidi Steltzer, Amanda Henderson, Chelsea Wilmer2021DOI: 10.15485/1842908
Dataset

Microclimate observations associated with snowmelt experiment gradient sites, East River, Colorado, 2017 to 2020

The timing of snowmelt in mountain systems is a main driver of vegetation phenology and production, as well as recharge of soil moisture and ground water. Decreases in maximum snowpack and warmer spring temperatures have led to a higher frequency of early snowmelt. This study combines a natural elev

Heidi Steltzer, Chelsea Wilmer, Amanda Henderson2021DOI: 10.15485/1842907
Dataset

Sensor-based phenology from snowmelt experiment gradient, East River, Colorado, 2017 to 2020

The timing of snowmelt is a critical cue for the initiation of growth in mountain meadow ecosystems and can also impact the duration and magnitude of plant production. High frequency observations of species-level phenology are time consuming and require a high degree of expertise, and publicly avail

Heidi Steltzer, Amanda Henderson, Chelsea Wilmer2021DOI: 10.15485/1842910
Dataset

Microclimate observations associated with snowmelt experiment gradient sites, East River, Colorado, 2017 to 2020

The timing of snowmelt in mountain systems is a main driver of vegetation phenology and production, as well as recharge of soil moisture and ground water. Decreases in maximum snowpack and warmer spring temperatures have led to a higher frequency of early snowmelt. This study combines a natural elev

Heidi Steltzer, Chelsea Wilmer, Amanda Henderson2021DOI: 10.15485/1842907
Dataset

Sensor-based phenology from snowmelt experiment gradient, East River, Colorado, 2017 to 2020

The timing of snowmelt is a critical cue for the initiation of growth in mountain meadow ecosystems and can also impact the duration and magnitude of plant production. High frequency observations of species-level phenology are time consuming and require a high degree of expertise, and publicly avail

Heidi Steltzer, Amanda Henderson, Chelsea Wilmer2021DOI: 10.15485/1842910
Dataset

Sensor-based phenology from snowmelt experiment gradient, East River, Colorado, 2017 to 2020

The timing of snowmelt is a critical cue for the initiation of growth in mountain meadow ecosystems and can also impact the duration and magnitude of plant production. High frequency observations of species-level phenology are time consuming and require a high degree of expertise, and publicly avail

Heidi Steltzer, Amanda Henderson, Chelsea Wilmer2021DOI: 10.15485/1842910
Dataset

Microclimate observations associated with snowmelt experiment gradient sites, East River, Colorado, 2017 to 2020

The timing of snowmelt in mountain systems is a main driver of vegetation phenology and production, as well as recharge of soil moisture and ground water. Decreases in maximum snowpack and warmer spring temperatures have led to a higher frequency of early snowmelt. This study combines a natural elev

Heidi Steltzer, Chelsea Wilmer, Amanda Henderson2021DOI: 10.15485/1842907
Dataset

Microclimate observations associated with snowmelt experiment gradient sites, East River, Colorado, 2017 to 2020

The timing of snowmelt in mountain systems is a main driver of vegetation phenology and production, as well as recharge of soil moisture and ground water. Decreases in maximum snowpack and warmer spring temperatures have led to a higher frequency of early snowmelt. This study combines a natural elev

Heidi Steltzer, Chelsea Wilmer, Amanda Henderson2021DOI: 10.15485/1842907
Dataset

Microclimate observations associated with snowmelt experiment gradient sites, East River, Colorado, 2017 to 2020

The timing of snowmelt in mountain systems is a main driver of vegetation phenology and production, as well as recharge of soil moisture and ground water. Decreases in maximum snowpack and warmer spring temperatures have led to a higher frequency of early snowmelt. This study combines a natural elev

Heidi Steltzer2021DOI: 10.15485/1842907
Dataset

Sensor-based phenology from snowmelt experiment gradient, East River, Colorado, 2017 to 2020

The timing of snowmelt is a critical cue for the initiation of growth in mountain meadow ecosystems and can also impact the duration and magnitude of plant production. High frequency observations of species-level phenology are time consuming and require a high degree of expertise, and publicly avail

Heidi Steltzer, Amanda Henderson, Chelsea Wilmer2021DOI: 10.15485/1842910
Dataset

Sensor-based phenology from snowmelt experiment gradient, East River, Colorado, 2017 to 2020

The timing of snowmelt is a critical cue for the initiation of growth in mountain meadow ecosystems and can also impact the duration and magnitude of plant production. High frequency observations of species-level phenology are time consuming and require a high degree of expertise, and publicly avail

Heidi Steltzer, Amanda Henderson, Chelsea Wilmer2021DOI: 10.15485/1842910
Dataset

Microclimate observations associated with snowmelt experiment gradient sites, East River, Colorado, 2017 to 2020

The timing of snowmelt in mountain systems is a main driver of vegetation phenology and production, as well as recharge of soil moisture and ground water. Decreases in maximum snowpack and warmer spring temperatures have led to a higher frequency of early snowmelt. This study combines a natural elev

Heidi Steltzer, Chelsea Wilmer, Amanda Henderson2021DOI: 10.15485/1842907