Publication Details

Category Text Publication
Reference Category Journals
DOI 10.1111/gcb.70547
Licence creative commons licence
Title (Primary) Insights into water vapor uptake by dry soils using a global eddy covariance observation network
Author Paulus, S.J.; Migliavacca, M.; Reichstein, M.; Orth, R.; Lee, S.-C.; Carrara, A.; Hildebrandt, A.; Nelson, J.A.
Source Titel Global Change Biology
Year 2025
Department CHS
Volume 31
Issue 10
Page From e70547
Language englisch
Topic T5 Future Landscapes
Data and Software links http://doi.org/10.18160/0KWD-3RRW
http://doi.org/10.5281/zenodo.13943678
https://doi.org/10.1594/PANGAEA.868929
https://doi.org/10.18160/YVR0-4898
https://doi.org/10.18160/2G60-ZHAK
https://doi.org/10.5281/zenodo.17185798
https://doi.org/10.5880/fidgeo.2023.012
https://doi.org/10.6084/m9.figshare.7504448.v3
Supplements Supplement 1
Keywords drylands; Eddy covariance; Fluxnet; land-atmosphere exchange; negative latent heat fluxes; nighttime; non-rainfall water input; soil hydraulic properties soil water vapor adsorption
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.
Persistent UFZ Identifier https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=31536
Paulus, S.J., Migliavacca, M., Reichstein, M., Orth, R., Lee, S.-C., Carrara, A., Hildebrandt, A., Nelson, J.A. (2025):
Insights into water vapor uptake by dry soils using a global eddy covariance observation network
Glob. Change Biol. 31 (10), e70547 10.1111/gcb.70547