DOI: 10.5061/dryad.2z34tmpv6
title: Data from: Drought in a warmer, CO2-rich climate restricts grassland water use and soil water mixing

description: Soil water sustains terrestrial life, yet its fate is uncertain under a
 changing climate. We conducted a deuterium labeling experiment to
 determine if elevated atmospheric CO2, warming, and drought impact soil
 water storage and transport in a temperate grassland. Elevated CO2 created
 a wetter rootzone compared to ambient conditions, whereas warming
 decreased soil moisture. Soil water remained well-mixed in all global
 change treatments except for summer drought combined with warming and
 elevated CO2. These combined treatments caused the grassland to conserve
 water and restricted soil water flow to large, rapidly draining pores
 without mixing with small, slowly draining pores. Our results suggest that
 drought in a warmer, more CO2-rich climate can severely alter grassland
 ecohydrology by constraining post-drought soil water flow and grassland
 water use.
description: This dataset includes a combination of hydrological,
 meterological, soil hydrological modeling results, and stable isotope
 tracer records following a deuterium tracer experiment in a climate
 manipulation study (ClimGrass or ClimGrassHydro). See Supplemental
 Materials of Radolinski et al. ("Drought in a warmer, CO2-rich
 climate restricts grassland water use and soil water mixing") for
 detailed breakdown of methodology.  The
 "Metadata_ClimGrassHydro_label_paper_v4.xlsx" file provided
 includes detailed information on data structure, methodology, and
 content.
description: # Data from: Drought in a warmer, more CO2-rich climate restricts
 grassland water use and soil water mixing
 [https://doi.org/10.5061/dryad.2z34tmpv6](https://doi.org/10.5061/dryad.2z34tmpv6) Data is provided as a series of folders which separate all underlying data from the paper by figure. Additionally, a separate folder "timeline_and_treatment_codes" is added containing experimental and operational timelines related to the paper. A comprehensive Metadata file (`Metadata_ClimGrassHydro_label_paper_v4.xlsx`) gives detailed information on data structure and content. Code is stored under "Code." Additionally, all relevant data is compiled in the "All* data" folder (rather than separated figure by figure). ## Description of the data and file structure Data.zip is generally structured as: **FIGURE 1** 1\) Daily precipitation (isotopic signatures and amount) 2\) Soil moisture (aggregated from 15 min to 1 day) 3\) Soil water membrane tube isotopic signatures (4 h) 4\) Evapotranspiration (ET) and transpiration (T) isotopic signatures from vapor chambers **FIGURE S2** 5\) Drought treatment 36 cm soil water tracer breakthrough curves and Smart Field Lysimeter (SFL) seepage at 60 cm **FIGURE 2** 6\) SFL fluxes at 60 cm seepage (including cumulative precipitation - Evapotranspiration P-ET) for ambient, ambient drought, and drought with warming and elevated CO2 7\) E vs T partitioning results 8\) Tracer breakthrough for transpiration (also modeled using Weibull dsitribution) **FIGURE S3** 9\) Cumulative (post-drought) ET for all treatments from SFL and LL fluxes **FIGURE S4** 9.5) total growing season ET figure FIGURE S5 10\) add soil water content by treatment and depth **FIGURE 3** 11\) Soil water tracer breakthrough curves from H1D results at 36 cm 12\) Median transit time for soil water tracer breakthrough curves from H1D results at 36 cm **FIGURE S6** 13\) HYDRUS-1D (H1D) model hydrological fluxes for all treatments **FIGURE S7** 14\) figure with flux weighted tracer mass fractions in T **FIGURE 4** 15\) soil water mixing projections compared to weighted d2H values for all treatments **FIGURE S8** 16\) Suction lysimeter measurements (mobile soil water) following the deuterium label **FIGURE S9** 17\) Soil water d2H (mobile) minus bulk (full pore space) from suction lysimeters and soil membrane tubes, respectively, following the deuterium label **FIGURE S10** 18\) Soil water d2H from membrane tubes along with destructive cryogenically-extracted **FIGURE S11** 19\) destructive, cryogenically extracted, leaf water d2H samples vs T from chambers **FIGURE S12** 20\) soil effective porosity as proxy for macroporosity and now SOC! soil water **FIGURE S13** 21\) LAI in 3rd cut of 2021 growing season **FIGURE S14** 22\) ET and ET/VPD VPD sensitivity to VPD **FIGURE S16** 23\) using destructive, cryogenically-extracted, spil water d2H to, correct offset in soil membrane data **FIGURE S17** 24\) physical modeling of label water infiltration event 25\) relevant experimental timeline details. ## Code/Software -H1D inverse modeling code is provided under "Codes/H1D_inverse_modeling/H1D_Figures_Inverse_modelling.pdf" along with inputs and outputs (Python code) -infiltration simulation code is provided under "Codes/Infiltration_modeling/Infiltration_simulation_v3.R" (R code) -All other code needed to produce the results is found under "Codes/." The name of the R scipt allso indicates which figures it produces.