Data for "Depth of nutrient uptake by deep-rooted plants is regulated by water availability"
Abstract
The data set consists of strontium (Sr) isotope ratios (87Sr/86Sr), water isotopes, soil cation concentrations, soil water potential sensor data, and results of 87Sr/86Sr mixing model. The plant canopy size files include the dataset of canopy dimension of sagebrush, lupine, and sunflower. The soil and plant ICPMS (Inductively Coupled Plasma Mass Spectrometry) data file includes both of 87Sr/86Sr, and cation concentration dataset from soil exchangeable pool, apatite pool, silicate extract, atmospheric rain deposition, and plant leaf and stem tissues. The plant dendrochronology file includes the dendrochronogical ring width of several sagebrush, and dendrochemical sample data includes the 87Sr/86Sr for each separated growth ring. The modeling result gives the proportion of nutrient sources of each plants (based on their 87Sr/86Sr in leaf tissues and growth rings) from atmospheric deposition and mineral weathering. Soil water potential data includes continuous collection of soil water potential dataset at 2 depths (30 cm and 60 cm, from Nov 24 - Jun 25) of the sampling site. All the samples were collected from 2 sampling campaign June and July 2023, and rain water is a separate sampling from Aug - Sept 2023, at north-facing hillslope near pumphouse site. The data showed that the depth of cationmore »
- Authors:
-
- Lawrence Berkeley National Laboratory
- Stony Brook University
- Stanford Linear Accelerator Center - National Accelerator Laboratory
- University of California Berkeley
- Rocky Mountain Biological Laboratory
- Publication Date:
- DOE Contract Number:
- AC02-05CH11231
- Research Org.:
- Watershed Function SFA
- Sponsoring Org.:
- ESS-DIVE; U.S. DOE > Office of Science > Biological and Environmental Research (BER)
- Subject:
- 54 ENVIRONMENTAL SCIENCES; EARTH SCIENCE > BIOLOGICAL CLASSIFICATION > PLANTS; EARTH SCIENCE > LAND SURFACE > SOILS; EARTH SCIENCE > SOLID EARTH > GEOCHEMISTRY > GEOCHEMICAL PROPERTIES > ISOTOPES; EARTH SCIENCE > SOLID EARTH > ROCKS/MINERALS/CRYSTALS; EARTH SCIENCE > TERRESTRIAL HYDROSPHERE > SURFACE WATER; ESS-DIVE CSV File Formatting Guidelines Reporting Format; ESS-DIVE File Level Metadata Reporting Format; ESS-DIVE Location Metadata Reporting Format; ESS-DIVE Sample ID and Metadata Reporting Format
- OSTI Identifier:
- 2998779
- DOI:
- https://doi.org/10.15485/2998779
Citation Formats
Li, Langlang, Christensen, John, Bill, Markus, Dong, Wenming, Wu, Yuxin, Beulter, Curtis, Sprenger, Matthias, Gulick, Brian, Bone, Sharon, Faybishenko, Boris, Sanders, John, Henderson, Amanda, Bouskill, Nicholas, Williams, Kenneth, and Gilbert, Benjamin. Data for "Depth of nutrient uptake by deep-rooted plants is regulated by water availability". United States: N. p., 2025.
Web. doi:10.15485/2998779.
Li, Langlang, Christensen, John, Bill, Markus, Dong, Wenming, Wu, Yuxin, Beulter, Curtis, Sprenger, Matthias, Gulick, Brian, Bone, Sharon, Faybishenko, Boris, Sanders, John, Henderson, Amanda, Bouskill, Nicholas, Williams, Kenneth, & Gilbert, Benjamin. Data for "Depth of nutrient uptake by deep-rooted plants is regulated by water availability". United States. doi:https://doi.org/10.15485/2998779
Li, Langlang, Christensen, John, Bill, Markus, Dong, Wenming, Wu, Yuxin, Beulter, Curtis, Sprenger, Matthias, Gulick, Brian, Bone, Sharon, Faybishenko, Boris, Sanders, John, Henderson, Amanda, Bouskill, Nicholas, Williams, Kenneth, and Gilbert, Benjamin. 2025.
"Data for "Depth of nutrient uptake by deep-rooted plants is regulated by water availability"". United States. doi:https://doi.org/10.15485/2998779. https://www.osti.gov/servlets/purl/2998779. Pub date:Wed Dec 31 19:00:00 EST 2025
@article{osti_2998779,
title = {Data for "Depth of nutrient uptake by deep-rooted plants is regulated by water availability"},
author = {Li, Langlang and Christensen, John and Bill, Markus and Dong, Wenming and Wu, Yuxin and Beulter, Curtis and Sprenger, Matthias and Gulick, Brian and Bone, Sharon and Faybishenko, Boris and Sanders, John and Henderson, Amanda and Bouskill, Nicholas and Williams, Kenneth and Gilbert, Benjamin},
abstractNote = {The data set consists of strontium (Sr) isotope ratios (87Sr/86Sr), water isotopes, soil cation concentrations, soil water potential sensor data, and results of 87Sr/86Sr mixing model. The plant canopy size files include the dataset of canopy dimension of sagebrush, lupine, and sunflower. The soil and plant ICPMS (Inductively Coupled Plasma Mass Spectrometry) data file includes both of 87Sr/86Sr, and cation concentration dataset from soil exchangeable pool, apatite pool, silicate extract, atmospheric rain deposition, and plant leaf and stem tissues. The plant dendrochronology file includes the dendrochronogical ring width of several sagebrush, and dendrochemical sample data includes the 87Sr/86Sr for each separated growth ring. The modeling result gives the proportion of nutrient sources of each plants (based on their 87Sr/86Sr in leaf tissues and growth rings) from atmospheric deposition and mineral weathering. Soil water potential data includes continuous collection of soil water potential dataset at 2 depths (30 cm and 60 cm, from Nov 24 - Jun 25) of the sampling site. All the samples were collected from 2 sampling campaign June and July 2023, and rain water is a separate sampling from Aug - Sept 2023, at north-facing hillslope near pumphouse site. The data showed that the depth of cation nutrient acquisition is thus tightly coupled with, and likely determined by, water availability in soil, saprolite and bedrock. The enhanced uptake of cations and water from regions of mineral weathering could confer plant and ecosystem resilience during low water years and may impact the rate of bedrock weathering and watershed chemistry during drought. This dataset includes a file-level metadata (flmd.csv) file that lists each file contained in the dataset with associated metadata; a data dictionary (dd.csv) file that contains column/row headers used throughout the files along with a definition, units, and data type; a location metadata file (locations.csv); and a samples metadata file (samples.csv). All files are provided as comma-separated values (CSV) files (.csv). This work was supported by the Watershed Function Science Focus Area at Lawrence Berkeley National Laboratory funded by the US Department of Energy, Office of Science, Biological and Environmental Research under Contract No. DE-AC02-05CH11231.},
doi = {10.15485/2998779},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Dec 31 19:00:00 EST 2025},
month = {Wed Dec 31 19:00:00 EST 2025}
}
