Data from: Drought in a warmer, CO2-rich climate restricts grassland water use and soil water mixing
Data files
Dec 20, 2024 version files 54.14 MB
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Data.zip
54.10 MB
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Metadata_ClimGrassHydro_label_paper_v4.xlsx
37.01 KB
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README.md
3.51 KB
Abstract
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.
README: 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
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.
Methods
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.