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

Steltzer, Heidi; Henderson, Amanda; Wilmer, Chelsea

doi:10.15485/1842910

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

Dataset
Other Related Research

Abstract

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 available remote sensing products lack the necessary temporal resolution to assess fine-scale growing season dynamics. Near-surface sensing methods provide a middle ground with high temporal frequency and tractable spatial scales (from sub-meter to hillslope scale). This data package includes csv files of Normalized Difference Vegetation Index (NDVI) timeseries (SM_NDVI_dailymax.csv) and phenological thresholds (SM_NDVI_summary.csv) for sub-plots (1m2) and Green Chromatic Coordinate (GCC) phenological thresholds (SM_GCC_summary.csv) at the plot scale (10m x 14m). Location IDs associated with this data package are: ER-LM, WG-UM, WG-LS, ER-US, and XX-AL. Related data packages include: “Microclimate observations associated with snowmelt experiment gradient sites, East River, Colorado, 2017 to 2020” and “Colorado Elevation Gradient Snowmelt Manipulation Plant Phenology 2017-2018”.

Authors:

;

Fort Lewis College; Fort Lewis College
Rocky Mountain Biological Laboratory
Colorado State University

Publication Date:: Fri Jan 01 04:00:00 UTC 2021

Other Number(s):: paf_739_742

Research Org.:: Environmental System Science Data Infrastructure for a Virtual Ecosystem

Sponsoring Org.:: U.S. DOE > Office of Science > Biological and Environmental Research (BER)

Subject:: 54 ENVIRONMENTAL SCIENCES; Green Chromatic Coordinate; NDVI; Normalized Difference Vegetation Index; Phenology; growing season

OSTI Identifier:: 1842910

DOI:: https://doi.org/10.15485/1842910

Citation Formats


                    Steltzer, Heidi, Henderson, Amanda, and Wilmer, Chelsea. Sensor-based phenology from snowmelt experiment gradient, East River, Colorado, 2017 to 2020.  United States: N. p., 2021. 
        Web.  doi:10.15485/1842910.

Copy to clipboard


                    Steltzer, Heidi, Henderson, Amanda, & Wilmer, Chelsea. Sensor-based phenology from snowmelt experiment gradient, East River, Colorado, 2017 to 2020.  United States.  doi:https://doi.org/10.15485/1842910

Copy to clipboard


                    Steltzer, Heidi, Henderson, Amanda, and Wilmer, Chelsea. 2021.  
"Sensor-based phenology from snowmelt experiment gradient, East River, Colorado, 2017 to 2020".  United States.  doi:https://doi.org/10.15485/1842910.  https://www.osti.gov/servlets/purl/1842910. Pub date:Fri Jan 01 04:00:00 UTC 2021

Copy to clipboard


                    
@article{osti_1842910,

  title        = {Sensor-based phenology from snowmelt experiment gradient, East River, Colorado, 2017 to 2020},

  author       = {Steltzer, Heidi and Henderson, Amanda and Wilmer, Chelsea},

  abstractNote = {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 available remote sensing products lack the necessary temporal resolution to assess fine-scale growing season dynamics. Near-surface sensing methods provide a middle ground with high temporal frequency and tractable spatial scales (from sub-meter to hillslope scale). This data package includes csv files of Normalized Difference Vegetation Index (NDVI) timeseries (SM_NDVI_dailymax.csv) and phenological thresholds (SM_NDVI_summary.csv) for sub-plots (1m2) and Green Chromatic Coordinate (GCC) phenological thresholds (SM_GCC_summary.csv) at the plot scale (10m x 14m). Location IDs associated with this data package are: ER-LM, WG-UM, WG-LS, ER-US, and XX-AL. Related data packages include: “Microclimate observations associated with snowmelt experiment gradient sites, East River, Colorado, 2017 to 2020” and “Colorado Elevation Gradient Snowmelt Manipulation Plant Phenology 2017-2018”.},

  doi          = {10.15485/1842910},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Fri Jan 01 04:00:00 UTC 2021},

  month        = {Fri Jan 01 04:00:00 UTC 2021}

}

Copy to clipboard

Dataset:

View Dataset

DOI: https://doi.org/10.15485/1842910

Save / Share:

Export Metadata

Save to My Library

Similar records in DOE Data Explorer and OSTI.GOV collections:

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

Dataset Steltzer, Heidi ; Wilmer, Chelsea ; Henderson, Amanda

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 elevation gradient with an experimental manipulation of snowmelt timing to assess the effect of earlier melt on hillslope and watershed ecohydrological processes. This data package includes csv files with plot and sub-plot level observations of soil temperature (SM_ST.csv), soil moisture (SM_SWC.csv), air temperature (SM_AirT.csv), and relative humidity (SM_rH.csv). The date range ofmore »« less
Colorado Elevation Gradient Snowmelt Manipulation Plant Phenology 2017-2018

Dataset Wilmer, Chelsea ; Steltzer, Heidi

This dataset includes observations of plant phenology at five locations along an elevation gradient in Crested Butte, Colorado. Observations occurred over the years 2017 and 2018. Observations taken in 2018 are associated with an experimental early snowmelt manipulation. The file PhenologyData_complete.txt contains raw data of phenology observations for each year, at each site, for each species within 1mX1m subplots. The file Phenology Data Package.docx contains information about sites, plots, and plant phenophases. These observations were taken to assess the temporal impact of early snowmelt perturbations on plant growth in the East River Valley. These data can be used to informmore »« less
2017 Meander C sediment characterization from the East River, Colorado

Dataset Anderson, Cam ; Ying, Sam ; Griswold, Frances ; ...

This dataset includes characterization data collected on sediment samples from Meander C as part of the Watershed Function Scientific Focus Area (SFA) located in the Upper Colorado River Basin. The data were collected to investigate the nature of mineral-organic associations across the meander transect and with depth. Samples were collected in 2017, and analyzed using sequential extractions (water, pyrophosphate, HCl, and dithionite) and density fractionation. Data collected include: texture, pH, root biomass, and metals (Fe, Al, Ca, Si) of bulk sediment samples; C and N of heavy fraction; and extractable OC, Fe, and Al, and organic matter characterization using high-resolutionmore »« less
2017 Meander C and O floodplain groundwater chemistry from the East River, Colorado

Dataset Fox, Patricia ; Anderson, Cam ; Dewey, Christian ; ...

This dataset includes groundwater geochemistry data from floodplain piezometers collected as a part of the Watershed Function Scientific Focus Area (SFA) located in the Upper Colorado River Basin. The data were collected in order to investigate the role of hyporheic exchange and other river corridor processes on riverine export of solutes. Floodplain piezometers in the Pumphouse vicinity (Meander C: MCP, MCB; Meander O: MOP) were sampled on daily to weekly time scales during summer-fall 2017. Data includes in-field measurements (pH, electrical conductivity [EC], oxidation reduction potential [ORP], dissolved oxygen [DO], Fe(II), and groundwater level) along with laboratory measurements (dissolved inorganicmore »« less
Sample Collection Metadata for Soil Cores from the East River Watershed, Colorado collected in 2017

Dataset Sorensen, Patrick ; Brodie, Eoin ; Beller, Harry ; ...

This data package contains sample collection metadata for soil cores from the East River Watershed in Colorado used in biogeochemical analyses by the Watershed Function SFA. Soil cores were collected seasonally during autumn, winter, snowmelt, and spring at a predominately montane meadow, high altitude field site. Information provided for each soil core sample assigned an International Geo Sample Number (IGSN) includes: sample name, IGSN, material, description, collection method, core depth, location, field program, collectors, and date. The full list of 53 IGSN's is listed in the Methods section. There is also a complete core sample list and metadata for themore » set of baseline data.« less

Similar Records