Data · dataset · 2026
Dataset: Forest topsoil moisture: a high resolution 3-yrs dataset from continuous monitoring in a mixed temperate forest
Listed in FreiData
In forest ecosystems, soil moisture (SM) exhibits pronounced spatiotemporal variability at the tree-scale in the topsoil of the active root zone due to complex interactions among multiple factors such as soil properties, topography, climate, and vegetation.
Description
This dataset relates to our study on spatiotemporal dynamics of topsoil SM ( link of publication tbd ). We measured SM with a dense monitoring network of 400 sensors (SMT100, Truebner GmbH, Germany) installed in the topsoil in a tree-centered design across four plots of mixed and pure Douglas fir, Beech and Silver fir trees in the ECOSENSE forest, southwestern Germany.
The dataset covers the spatial SM dynamics of 3 years, from September 2023 to June 2026. All raw soil moisture data were subject to a comprehensive data quality control procedure adapted from Dorigo et al. (2013), which included checks against site-specific physical thresholds as well as evaulation of the temporal dynamics and subsequent application of outlier tests. Continuous measurements of SM in 15-minute intervals were aggregated to daily mean SM values per sensor for days with more than 50% (> 48 measurements within 24 h) valid measurements to match the temporal scale of the study objectives, reduce noise while maintaining a sufficiently fine temporal resolution for SM dynamics and avoid a loss of relevant variability.
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Also, the time series data were subset to days >50% of valid measurements per plot; individual sensors exhibiting strongly fragmented time series (< 50% days of observation period) were excluded. Analysis results ( publication sumitted ) show spatial SM follows a consistent annual cycle across all plots transitioning between wet- or dry-preferential states. SM shows high variability for all plots and most plots display a characteristic convex upward curve for the spatial mean soil moisture to coefficient of variation (SM̄–CV) relationship.
The dataset comprises gross precipitation and air temperature measurements conducted with a tipping bucket rain gauge (YOUNG Tipping bucket rain gauge 52202) and a temperature sensor (HygroVUE10, Campbell Scientific Inc.) installed above the canopy on a measurement tower at 47 m height. The precipitation data were wind-corrected according to Kochendorfer et al. (2017). literature: Dedden & Weiler tbd Dorigo, W.A., Xaver, A., Vreugdenhil, M., Gruber, A., Hegyiová, A., Sanchis-Dufau, A.D., Zamojski, D., Cordes, C., Wagner, W. and Drusch, M. (2013): Global Automated Quality Control of In Situ Soil Moisture Data from the International Soil Moisture Network.
Vadose Zone Journal, 12: 1-21 vzj2012.0097. doi.org/10.2136/vzj2012.0097 Kochendorfer, J., Rasmussen, R., Wolff, M., Baker, B., Hall, M. E., Meyers, T., Landolt, S., Jachcik, A., Isaksen, K., Brækkan, R., and Leeper, R. (2017): The quantification and correction of wind-induced precipitation measurement errors. Hydrol. Earth Syst.
Sci., 21, 1973–1989. doi.org/10.5194/hess-21-1973-2017
Links
Where it is published
- FreiData record freidata.uni-freiburg.de/records/pryn4-g4049 ↗
landing page · from freidata uni freiburg de
- DOI doi.org/10.60493/pryn4-g4049 ↗
DOI / persistent id · from freidata uni freiburg de
Catalogue records · 1
- InvenioRDM API freidata.uni-freiburg.de/api/records/pryn4-g4049 ↗
metadata API · from freidata uni freiburg de
Topics
- Stated by source
- forest · monitoring network · soil moisture · spatiotemporal dynamics · topsoil
- From keywords
- Earth & Environmental Science
- Inferred from text
- Soil sciences 71%
Provenance · 1 source records, 14 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| FreiData | pryn4-g4049 | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · freidata uni freiburg de | connector:freidata_uni_freiburg_de@1.0.0 | |
| concepts[field].anzsrc:group:4106 | enrichment · freidata uni freiburg de | taxonomy-embedding@1.1.0 | title+keywords+description (71%) |
| concepts[field].local:field:earth-environmental | mapping · freidata uni freiburg de | connector:freidata_uni_freiburg_de@1.0.0 | |
| concepts[topic].invenio_subject:freidata_uni_freiburg_de:forest | source · freidata uni freiburg de | connector:freidata_uni_freiburg_de@1.0.0 | |
| concepts[topic].invenio_subject:freidata_uni_freiburg_de:monitoring-network | source · freidata uni freiburg de | connector:freidata_uni_freiburg_de@1.0.0 | |
| concepts[topic].invenio_subject:freidata_uni_freiburg_de:soil-moisture | source · freidata uni freiburg de | connector:freidata_uni_freiburg_de@1.0.0 | |
| concepts[topic].invenio_subject:freidata_uni_freiburg_de:spatiotemporal-dynamics | source · freidata uni freiburg de | connector:freidata_uni_freiburg_de@1.0.0 | |
| concepts[topic].invenio_subject:freidata_uni_freiburg_de:topsoil | source · freidata uni freiburg de | connector:freidata_uni_freiburg_de@1.0.0 | |
| description | source · freidata uni freiburg de | connector:freidata_uni_freiburg_de@1.0.0 | /metadata/description |
| license | source · freidata uni freiburg de | connector:freidata_uni_freiburg_de@1.0.0 | |
| publication_date | source · freidata uni freiburg de | connector:freidata_uni_freiburg_de@1.0.0 | |
| title | source · freidata uni freiburg de | connector:freidata_uni_freiburg_de@1.0.0 | /metadata/title |
| updated_date | source · freidata uni freiburg de | connector:freidata_uni_freiburg_de@1.0.0 | |
| version_label | source · freidata uni freiburg de | connector:freidata_uni_freiburg_de@1.0.0 |