ENVIDAT provides continuous soil matrix potential measurements at three depths around pine trees in Visp, Switzerland. Data were collected using Decagon MPS-2 sensors placed near trees in areas with varying shrub density. The dataset was last updated in 2019.
Use Cases
- Analyze temporal patterns in soil_water_potential at 15_cm, 50_cm, and 100_cm depths to understand vertical water movement.
- Compare soil_moisture conditions 1 meter from tree stems between microsites with 'much shrubs' and 'few shrubs' to assess shrub influence.
- Model the relationship between sensor_depth and matrix_potential readings to characterize the soil water profile.
- Investigate diurnal or seasonal cycles in the continuous_measurement time-series data for ecological water stress periods.
Strengths
- Continuous measurement time-series provides high temporal resolution data.
- Multi-depth measurements at 15, 50, and 100 cm capture vertical soil moisture profile.
- Spatial replication with sensors placed at three cardinal directions (N, SE, SW) from each tree.
Limitations
- Sample size is limited to measurements from only 6 trees (3 in each shrub-density condition).
- Geographic scope is restricted to a single forest site in Visp, Switzerland.
- Temporal coverage and dataset recency are unclear; last platform update was in 2019.
Provenance
- Source
- ENVIDAT, accessed via NASA Earthdata.
- Collection Method
- Field measurement using Decagon MPS-2 soil matrix potential sensors installed at specified depths and distances from tree stems.
- Time Range
- null
- Freshness
- null
- Geography
- Forest site in Visp, Switzerland.