Microclimate observations associated with snowmelt experiment gradient sites, East River, Colorado, 2017 to 2020
Abstract
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 of this dataset includes a pre-treatment year (2017), two treatment years (2018 and 2019), and a post-treatment year (2020). Location IDs associated with this data package are: ER-LM, WG-UM, WG-LS, ER-US, and XX-AL. Related data packages include: “Colorado Elevation Gradient Snowmelt Manipulation Plant Phenology 2017-2018” and “Sensor-based phenology from snowmelt experiment gradient, East River, Colorado, 2017 to 2020”
- Authors:
-
- Fort Lewis College; Fort Lewis College
- Colorado State University
- Rocky Mountain Biological Laboratory
- Publication Date:
- Other Number(s):
- paf_335_741
- 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; Air Temperature; Relative Humidity; Soil Moisture; Soil Temperature; elevation gradient; paired-plot design; soil temperature; soil water content
- OSTI Identifier:
- 1842907
- DOI:
- https://doi.org/10.15485/1842907
Citation Formats
Steltzer, Heidi, Wilmer, Chelsea, and Henderson, Amanda. Microclimate observations associated with snowmelt experiment gradient sites, East River, Colorado, 2017 to 2020. United States: N. p., 2020.
Web. doi:10.15485/1842907.
Steltzer, Heidi, Wilmer, Chelsea, & Henderson, Amanda. Microclimate observations associated with snowmelt experiment gradient sites, East River, Colorado, 2017 to 2020. United States. doi:https://doi.org/10.15485/1842907
Steltzer, Heidi, Wilmer, Chelsea, and Henderson, Amanda. 2020.
"Microclimate observations associated with snowmelt experiment gradient sites, East River, Colorado, 2017 to 2020". United States. doi:https://doi.org/10.15485/1842907. https://www.osti.gov/servlets/purl/1842907. Pub date:Thu Dec 31 23:00:00 EST 2020
@article{osti_1842907,
title = {Microclimate observations associated with snowmelt experiment gradient sites, East River, Colorado, 2017 to 2020},
author = {Steltzer, Heidi and Wilmer, Chelsea and Henderson, Amanda},
abstractNote = {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 of this dataset includes a pre-treatment year (2017), two treatment years (2018 and 2019), and a post-treatment year (2020). Location IDs associated with this data package are: ER-LM, WG-UM, WG-LS, ER-US, and XX-AL. Related data packages include: “Colorado Elevation Gradient Snowmelt Manipulation Plant Phenology 2017-2018” and “Sensor-based phenology from snowmelt experiment gradient, East River, Colorado, 2017 to 2020”},
doi = {10.15485/1842907},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Dec 31 23:00:00 EST 2020},
month = {Thu Dec 31 23:00:00 EST 2020}
}
