the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Soil drying with experimental warming depends on ecosystem type and warming method: First results of the Soil Warming to Depth Data Integration Effort (SWEDDIE)
Abstract. Field-warming experiments offer insight into the response of ecosystems to rising temperatures, but cross-site comparison is needed to determine both the general tendencies of warming responses and the context dependencies of deviations from those norms. These responses are not limited to the direct effects of temperature but also their indirect effects on soil moisture, a critical factor controlling ecosystem productivity and carbon fluxes. Here we introduce SWEDDIE: the first database to characterize the whole soil profile warming response across 26 distinct soil warming experiments, encompassing forest, grassland, cropland, tundra, and wetland ecosystems. SWEDDIE is needed because prior databases and syntheses of warming effects on ecosystems were dominated by aboveground warming studies, many of which warmed soil modestly or negligibly during much of the growing season and reported only growing season averages.
We demonstrate the potential of the SWEDDIE database by quantifying soil temperature and moisture changes for each experiment as a function of depth, warming methodology, ambient climate conditions, and ecosystem, as well as the relationship between soil moisture and imposed warming. Warming attenuated with depth at sites with aboveground warming only but increased with depth at sites with belowground warming only, as hypothesized. Warming led to soil drying at most sites, and drying was positively correlated with the magnitude of warming. However, the relationship between soil warming and soil drying varied by ecosystem: forest soils dried the most, while tundra soils became wetter with warming. Ambient climatic conditions also significantly influenced the relationship between experimental warming and drying, with more drying per degree of warming observed in soils with higher ambient moisture.
The inconsistency of soil moisture changes with warming across ecosystems and warming methodologies demonstrates the importance of quantifying shifts in temperature and moisture in both space and time in order to overcome site-specific bias in ecosystem warming responses. The high temporal resolution and depth-resolved observations of the fundamental ecosystem properties of soil temperature and moisture in SWEDDIE v1.0.0 serve as a foundation for future experimental soil warming synthesis efforts and demonstrate the power of this actively growing community resource.
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Status: final response (author comments only)
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RC1: 'Comment on essd-2026-23', Anonymous Referee #1, 29 Mar 2026
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AC1: 'Reply on RC1', Jeffrey Beem-Miller, 03 Jun 2026
We would like to thank the reviewers for their time and insightful comments on our manuscript, "Soil drying with experimental warming depends on ecosystem type and warming method: First results of the Soil Warming to Depth Data Integration Effort (SWEDDIE)". We have copied the line specific reviewer comments (bullet points) with our responses inserted below for clarity.
- Page 5: “The database contains data from 23 experiments”—the abstract incorrectly reports 26.
Thank you for noticing this. We have corrected the abstract to 23.
- Table 1: Please include key references for each site. Some warming experiments appear to be missing (e.g., the long-term tallgrass prairie warming experiment in Norman, OK)
Thank you for this suggestion. Please see the new supplemental table S2 which gives key references for each experiment. Note that the long-term tallgrass prairie warming experiment in Norman, OK is named “KAEFS”, and is listed in Table 1.
- Page 10, Line 242: “file level metadata files” → should this be “field-level”?
The term “file level metadata” is one that we have adopted from ESS-DIVE, the data repository for the Lawrence Berkeley National Laboratory. We designed SWEDDIE to leverage this data organizational structure so have maintained their terminology to facilitate this. File level metadata files provide metadata information about the observational data files in SWEDDIE, as detailed in section 2.3.3 (“Metadata”).
- Page 15, Fig. 3: Belowground warming appears to dominate temperature responses (similar patterns above vs. below). Why do combined above/below treatments perform worse than below-only warming?
Yes, we agree this is confusing, so we appreciate you raising this point. This is simply due to the particular warming methods and site characteristics of the experiments that utilize both above and belowground methods, rather than a generalizable phenomenon. We have simplified Fig. 3 to compare experiments utilizing only aboveground vs belowground methods to avoid misinterpretation of this. Please also see the added discussion text on lines 643:649 in the revised manuscript file.
- Page 17, Table 2: Please clarify the meaning of the credible intervals for slope and intercept. Are these equivalent to 95% confidence intervals (e.g., 5th–95th percentiles or 95% CI lower–upper limits)?
We have added additional text in the methods section to clarify the meaning of Bayesian credible intervals and contrast them with frequentist type confidence intervals (lines 499:501).
- Page 17, Line 59: The weak relationship between soil moisture change and imposed temperature increase is unexpected—please provide further explanation.
Yes, this was unexpected for us as well. We expanded on this puzzling finding by adding additional text in the discussion section (lines 673:676 and 682:685).
- Page 19, Lines 400–402: This pattern may also reflect natural warming.
Yes, this is a good point. The main point was to clarify the difference between expected differences in warming with depth as a function of warming methodology, but we have added the clarification that this is also influenced by natural warming to the text (line 628).
- Page 21, Line 445: “meta-analyses” is commonly used.
Thank you for catching this autocorrect error. We have replaced all instances of “metanalysis” with “meta-analysis”.
Citation: https://doi.org/10.5194/essd-2026-23-AC1
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AC1: 'Reply on RC1', Jeffrey Beem-Miller, 03 Jun 2026
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RC2: 'Comment on essd-2026-23', Anonymous Referee #2, 06 Apr 2026
This dataset represents a valuable source for data-model integration on warming impacts. It is a pity that the data on ecosystem structure and function are not included in this dataset. I will be eager to see the next version of this dataset that includes soil variables, microbial processes, etc.
As the other reviewer noted, the number of warming sites in the abstract is incorrect. Meanwhile, in the dataset, there is another folder, DWFP, which was included but kept empty. It seems the data is unavailable; if it is to be excluded, it might be better to remove that folder.
I am happy to see that this dataset will be publicly available for the modeling community to test warming response curves and mechanisms, not just one or two models as stated in this ms on Line 494.
Citation: https://doi.org/10.5194/essd-2026-23-RC2 -
AC2: 'Reply on RC2', Jeffrey Beem-Miller, 03 Jun 2026
First, thank you very much for your kind words on the value of this database. We agree that further data will greatly increase the utility of SWEDDIE. A substantial amount of data has already been added to SWEDDIE including soil CO2 fluxes, local climate and meteorological data, soil properties, vegetation properties, etc. Please check our github site as well as the Zenodo dataset DOI to see the latest publicly available version of SWEDDIE.
We would also like to thank you for catching the confusing statement in the abstract. The number of experiments has been updated to 23 to match the number of experiments described in the manuscript. To clarify, the abstract text originally stated 26 sites, as a few of the experiments in SWEDDIE contain multiple warming sites within a given experiment (e.g., Harvard Forest, B4WarmED). We agree it was confusing as written and we have changed the abstract text to mitigate this confusion. With regards to DWFP, this experiment is part of SWEDDIE but the soil temperature and moisture data were excluded from this analysis as it is a soil monolith transplant experiment and is therefore not easily compared with the other experiments. Future versions of SWEDDIE will include data from this experiment, so we have left the directory as a placeholder as well as in recognition of their commitment to SWEDDIE.
We are also happy to provide this resource to the whole modeling community, and welcome future collaborations. We have modified the text to clarify that this is indeed the intent of SWEDDIE: to serve as a resource for the whole community, not just those affiliated with current SWEDDIE warming experiments or members of DeepSoil2100 (cf. lines 755:756 and 758:759).
Citation: https://doi.org/10.5194/essd-2026-23-AC2
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AC2: 'Reply on RC2', Jeffrey Beem-Miller, 03 Jun 2026
Data sets
Global deep soil warming experiment soil temperature and moisture data from the Soil Warming to Depth Data Integration Effort J. Beem-Miller https://doi.org/10.5281/zenodo.18237778
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This manuscript presents a global dataset developed through the Soil Warming to Depth Data Integration Effort (SWEDDIE), encompassing 23 soil warming experiments across diverse ecosystems. Using this dataset, the authors quantify changes in soil temperature and precipitation and demonstrate that warming methods differentially influence temperature responses across soil depths. Warming generally reduced soil moisture at most sites, although responses varied among ecosystem types.
This study represents the first global dataset/synthesis focusing on deep soil responses to warming and provides a valuable resource for the research community. The manuscript clearly documents data collection protocols, metadata, selection criteria, file structure, and variables, as well as the challenges associated with database construction. The accompanying analyses effectively illustrate the utility of the dataset. Overall, SWEDDIE offers a robust platform for compiling, sharing, and advancing understanding of soil warming effects from site to global scales. I recommend acceptance pending minor revisions.
Specific comments: