Sapflow and xylem water isotopes from Snodgrass Mountain, East River Watershed, Colorado USA

Berkelhammer, Max; Still, Christopher; Page, Gerald; Hildebrand, Laura; Byron, James; Foss, Kelsey; Zurek, Frank; Talavera, William; Brown, Wendy; Inthabandith, Kyle; Kucinski, Angellica; Carter, Melissa

doi:10.15485/1647654

Title: Sapflow and xylem water isotopes from Snodgrass Mountain, East River Watershed, Colorado USA

Dataset
Other Related Research

Abstract

This dataset includes sapflux and stable water isotopes of soil water and xylem water for aspen, fir and spruce trees along the Snodgrass Mountain transect in the East River Watershed, Colorado USA. The purpose of generating this dataset was to understand: (1) the total flux of water being used by trees in the watershed, (2) separate the component of transpiration that was derived from recent precipitation vs. older water such as winter precipitation of groundwater and (3) understand how total water use and water sources for the trees varies between species and position on a hillslope. The data were collected from May 2019 until October 2022. The sap flux data were collected using ICT SFM1 sensors and are presented in both units of cm h^-1 and as kg h^-1 by multiplying the sap flux by the sapwood area of the tree. All sap flow data has been been corrected using estimates of wounding diameter, water content of wood and sap wood depth. The xylem water isotope data were collected approximately weekly from each of the trees instrumented with sap flux. The stems were collected and the water extracted using classic cryogenic methods. Isotope measurements were done using a Picarro 2140imore »« less

Authors:

;

; Hildebrand, Laura; Byron, James; Foss, Kelsey; Zurek, Frank; Talavera, William; Brown, Wendy; Inthabandith, Kyle; Kucinski, Angellica; Carter, Melissa

University of Illinois at Chicago
Oregon State University
CSIRO
University of Illinois Chicago
Bugs Unlimited

Contributors:

Publication Date:: 2023-01-20

Research Org.:: Environmental System Science Data Infrastructure for a Virtual Ecosystem (ESS-DIVE) (United States); Space and time dynamics of transpiration in the East River watershed: biotic and abiotic controls

Sponsoring Org.:: U.S. DOE BER

Subject:: 54 ENVIRONMENTAL SCIENCES

Keywords:: Transpiration; Ecohydrology; Subsurface hydrology; Vadoze zone; Water isotopes; Sap flux; Sapflux velocity; Water isotope ratios

Geolocation:: 38.95781,-106.9633|38.92084,-106.9633|38.92084,-106.9865|38.95781,-106.9865|38.95781,-106.9633

OSTI Identifier:: 1647654

DOI:: https://doi.org/10.15485/1647654

Project Location:

Citation Formats


                    Berkelhammer, Max, Still, Christopher, Page, Gerald, Hildebrand, Laura, Byron, James, Foss, Kelsey, Zurek, Frank, Talavera, William, Brown, Wendy, Inthabandith, Kyle, Kucinski, Angellica, and Carter, Melissa. Sapflow and xylem water isotopes from Snodgrass Mountain, East River Watershed, Colorado USA.  United States: N. p., 2023. 
        Web.  doi:10.15485/1647654.

Copy to clipboard


                    Berkelhammer, Max, Still, Christopher, Page, Gerald, Hildebrand, Laura, Byron, James, Foss, Kelsey, Zurek, Frank, Talavera, William, Brown, Wendy, Inthabandith, Kyle, Kucinski, Angellica, & Carter, Melissa. Sapflow and xylem water isotopes from Snodgrass Mountain, East River Watershed, Colorado USA.  United States.  doi:https://doi.org/10.15485/1647654

Copy to clipboard


                    Berkelhammer, Max, Still, Christopher, Page, Gerald, Hildebrand, Laura, Byron, James, Foss, Kelsey, Zurek, Frank, Talavera, William, Brown, Wendy, Inthabandith, Kyle, Kucinski, Angellica, and Carter, Melissa. 2023.  
"Sapflow and xylem water isotopes from Snodgrass Mountain, East River Watershed, Colorado USA".  United States.  doi:https://doi.org/10.15485/1647654.  https://www.osti.gov/servlets/purl/1647654. Pub date:Fri Jan 20 00:00:00 EST 2023

Copy to clipboard


                    
@article{osti_1647654,

  title        = {Sapflow and xylem water isotopes from Snodgrass Mountain, East River Watershed, Colorado USA},

  author       = {Berkelhammer, Max and Still, Christopher and Page, Gerald and Hildebrand, Laura and Byron, James and Foss, Kelsey and Zurek, Frank and Talavera, William and Brown, Wendy and Inthabandith, Kyle and Kucinski, Angellica and Carter, Melissa},

  abstractNote = {This dataset includes sapflux and stable water isotopes of soil water and xylem water for aspen, fir and spruce trees along the Snodgrass Mountain transect in the East River Watershed, Colorado USA. The purpose of generating this dataset was to understand: (1) the total flux of water being used by trees in the watershed, (2) separate the component of transpiration that was derived from recent precipitation vs. older water such as winter precipitation of groundwater and (3) understand how total water use and water sources for the trees varies between species and position on a hillslope. The data were collected from May 2019 until October 2022. The sap flux data were collected using ICT SFM1 sensors and are presented in both units of cm h^-1 and as kg h^-1 by multiplying the sap flux by the sapwood area of the tree. All sap flow data has been been corrected using estimates of wounding diameter, water content of wood and sap wood depth. The xylem water isotope data were collected approximately weekly from each of the trees instrumented with sap flux. The stems were collected and the water extracted using classic cryogenic methods. Isotope measurements were done using a Picarro 2140i analyzer. We provide an estimate of the Seasonal Origin Index for each measurements following Allen et al., 2019 (10.5194/hess-23-1199-2019) where values of -1 equate to trees relying on winter precipitation and +1 tree relying on summer precipitation. We also provide the simultaneous sap flux for each isotope measurement when this data was available. This is an update to an earlier data repository with the same name that only included 2019 data. The new dataset was posted in January 2023 and is inclusive of the original 2019 data but now includes 2021 and 2022 data. Please note there was an error in the units of transpiration in the original dataset. It was incorrectly listed as mm h-1 when it should have been kg h-1. This change was made in May 2024.},

  doi          = {10.15485/1647654},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {2023},

  month        = {1}

}

Copy to clipboard

Dataset:

View Dataset

DOI: https://doi.org/10.15485/1647654

Save / Share:

Export Metadata

Save to My Library

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

Conifer water use patterns in the East River Watershed, Colorado US, based on stable water isotopes and cellulose isotopes

Dataset Berkelhammer, Max ; Ritter, Francois ; Williams, Kenneth ; ...

This data package contains a series of datasets aimed at understanding the seasonal origins of water used by the dominant conifer species, Abies lasiocarpa and Picea engelmannii, in the East River Watershed. There is a distinct difference in the stable isotopic ratio of summer rain and snowpack and thus by tracking the isotopic ratio of the xylem water in trees, it is possible to separate when a tree is using snow vs. summer rain. Following typical protocols, we sampled and extracted water from soils in the "Research Meadow" near Gothic, CO within the East River Watershed through the 2016 growingmore »« less
Assessment of Spatiotemporal Variability of Evapotranspiration and Its Governing Factors in a Mountainous Watershed at the East River, Colorado, Water: Dataset

Dataset Tran, Anh Phuong ; Rungee, Joseph ; Faybishenko, Boris ; ...

This data package contains simulation results of daily evapotranspiration for 17 locations of meteorological stations with different precipitation, air temperature and vegetation within the East River Watershed, Colorado (CLMResult.csv). Daily precipitation data is included for reference. These are the main results of the paper Tran, 2019. Meteorological stations names, latitude and longitude coordinates of meteorological stations, types of lands from the National Land Cover Database, and a comparison with the community land model (CLM) data are also included (Met_LC.csv). The purpose of this data is to analyze the spatio-temporal variations of evapotranspiration at the East River Watershed and understand themore »« less
Stable Water Isotope Data for the East River Watershed, Colorado (2014-2024)

Dataset Williams, Kenneth ; Beutler, Curtis ; Bill, Markus ; ...

The stable water isotope data for the East River Watershed, Colorado, consists of delta2H (hydrogen) and delta18O (oxygen) values from samples collected at multiple, long-term monitoring sites including streams, groundwater wells, springs, and a precipitation collector used to establish a local meteoric water line (LMWL) for the watershed. These locations represent important and/or unique end-member locations for which stable isotope values can be diagnostic of the connection between precipitation inputs as snow and rain and riverine export. Such locations include drainages underline entirely or largely by shale bedrock, land covered dominated by conifers, aspens, or meadows, and drainages impacted bymore »« less
Data associated with Quaternary Research manuscript Latest Pleistocene glacial chronology and paleoclimate reconstruction for the East River watershed, Colorado, USA

Dataset Quirk, Brendon ; Larsen, Isaac ; Hidy, Alan

The data here are associated with Quaternary Research manuscript Latest Pleistocene glacial chronology and paleoclimate reconstruction for the East River watershed, Colorado, USA and include data associated with cosmogenic exposure and depth profile dating as well as glacier-climate numerical modeling. Reconstructing Pleistocene glaciation timing and extent is vital for understanding paleoclimate. While late Pleistocene glaciation has been studied extensively in western North American mountain ranges, the glacial history of the western Elk Range in Colorado remains understudied, particularly in the East River watershed, a site of intense scientific focus. Here we use cosmogenic nuclide exposure and depth–profile dating methods tomore »« less
LiDAR collection in August 2015 over the East River Watershed, Colorado, USA

Dataset Wainwright, Haruko ; Williams, Kenneth

Airborne LiDAR data were acquired over the study area on August 10th, 2015, using a Riegl Q1560 dual-channel LiDAR system mounted on a Piper Navajo. The survey was performed by Quantum Spatial in collaboration with Eagle Mapping Ltd. The data complies with the USGS QL1 standard [Heideman, 2014] with the point density more than 8 pulse per m2.

Similar Records