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Title: 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:
ORCiD logo ; ORCiD logo ; ORCiD logo
  1. Fort Lewis College
  2. Colorado State University
  3. Rocky Mountain Biological Laboratory
Publication Date:
Other Number(s):
paf_335_741
Research Org.:
Environmental System Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE) (United States)
Sponsoring Org.:
U.S. DOE > Office of Science > Biological and Environmental Research (BER)
Subject:
54 ENVIRONMENTAL SCIENCES
Keywords:
elevation gradient; soil temperature; soil water content; paired-plot design; Air Temperature; Relative Humidity; Soil Moisture; Soil Temperature
Geolocation:
39.034,-106.88|38.88,-106.88|38.88,-107.05|39.034,-107.05|39.034,-106.88
OSTI Identifier:
1842907
DOI:
https://doi.org/10.15485/1842907
Project Location:


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., 2021. 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. 2021. "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:Fri Jan 01 00:00:00 EST 2021
@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 = {2021},
month = {1}
}