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

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 » 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.« less

Authors:
ORCiD logo ; ORCiD logo ; ORCiD logo ; ; ; ; ; ; ; ; ;
  1. University of Illinois at Chicago
  2. Oregon State University
  3. CSIRO
  4. University of Illinois Chicago
  5. Bugs Unlimited
Contributors:
Publication Date:
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.
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
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
@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}
}