Evidence map›Paper›PMID 41078225›Full record

ArticleGlobal change biology2025

Insights Into Water Vapor Uptake by Dry Soils Using a Global Eddy Covariance Observation Network.

Sinikka J Paulus, Mirco Migliavacca, Markus Reichstein, Rene Orth, Sung-Ching Lee, Arnaud Carrara, Anke Hildebrandt, Jacob A Nelson

Abstract read
In one paragraph

Article in Global change biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Sinikka J PaulusBiogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany.ORCID 0000-0002-8908-7987
Mirco MigliavaccaBiogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany.ORCID 0000-0003-3546-8407
Markus ReichsteinBiogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany.ORCID 0000-0001-5736-1112
Rene OrthFaculty of Environment and Natural Resources, University of Freiburg, Freiburg, Germany.ORCID 0000-0002-9853-921X
Sung-Ching LeeBiogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany.ORCID 0000-0002-2615-2040
Arnaud CarraraFundacion Centro de Estudios Ambientales del Mediterráneo (CEAM), Paterna, Valencia, Spain.ORCID 0000-0002-9095-8807
Anke HildebrandtInstitute of Geoscience, University of Jena, Jena, Germany.ORCID 0000-0003-4518-3501
Jacob A NelsonBiogeochemical Integration, Max Planck Institute for Biogeochemistry, Jena, Germany.ORCID 0000-0002-4663-2420

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The exchange of water vapor between soil and atmosphere is a key component of land-atmosphere interactions, especially under dry conditions. Soil water vapor adsorption (SVA) occurs when the atmospheric water vapor pressure is greater than the soil air vapor pressure, which triggers the transport of water vapor from the atmosphere to the soil and its retention on the soil particle surface in liquid form. This process is largely caused by soil hydraulic properties and may play a significant role in dryland hydrology, yet remains understudied due to a lack of continuous, direct observations. In this study, we use globally distributed eddy covariance flux tower data to detect and characterize patterns of soil water vapor adsorption. We verify the consistency between negative latent heat fluxes as an indicator of water vapor movement toward the ground and the theoretical understanding of SVA. Our results reveal a relationship between the direction of the vapor gradient, as indicated by the direction of the latent heat flux, soil moisture, and near-surface relative humidity, which is consistent with the understanding of a phase equilibrium at the pore scale of the soil. Distinguishing between random noise and physically explainable occurrences of negative latent heat fluxes enables the characterization of SVA occurrence in eddy covariance observations. SVA is detected most frequent in arid and semi-arid regions, particularly in ecosystems with sparse vegetation such as savannas and dry shrublands. On average, SVA occurs for 4 ± 1.1 h per night, and may last up to 7 h in some locations. In certain sites, SVA occurs on more than 150 nights per year. These findings suggest that the eddy covariance method can help monitor SVA occurrence. Mapping the spatiotemporal patterns of SVA enhances our understanding of dryland land-atmosphere water fluxes and uncovers a previously overlooked component of the terrestrial water cycle.

Indexed as

SoilSteamWaterSoilSteamWaterdrylandsEddy covarianceFluxnetland‐atmosphere exchangenegative latent heat fluxesnighttimenon‐rainfall water inputsoil hydraulic propertiessoil water vapor adsorption

Identifiers

PMID41078225
PMCPMC12516670

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.