Czech Republic soils from arable land with conventional management were analyzed to evaluate how soil chemical properties and type influence glomalin-related soil protein (GRSP) accumulation. The dataset includes measurements of GRSP, cation exchange capacity (CEC), calcium content (Ca), pH, soil organic carbon (SOC), and the humic-to-fulvic acid ratio. It was authored by Vojtěch Polách and last updated on 2026-04-23.
Use Cases
- Predicting GRSP accumulation potential based on nonlinear relationships with Ca and CEC, as described in the results.
- Analyzing correlations between GRSP and soil organic carbon (SOC) across different soil types.
- Investigating the influence of climatic regions on GRSP relationships with soil chemistry parameters like pH.
- Modeling soil aggregate stability and quality using GRSP as an indicator, as mentioned in the discussion.
Strengths
- Includes specific prediction accuracy metrics for GRSP based on Ca (43%) and CEC (37%).
- Covers a diverse range of soil types in the Czech Republic, including luvisols, regosols, stagnosols, podzols, chernozems, vertisols, calcisols, and phaeozems.
- Explicitly documents both positive and negative correlations between GRSP and key soil properties across different soil groups.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
- The dataset is small (23.4 KB), indicating a limited scope.
Provenance
- Source
- figshare
- Collection Method
- Likely contains results from a scientific study evaluating soil samples from arable land in the Czech Republic.
- Freshness
- Last updated 2026-04-23 06:16:38; freshness should be verified.
- Geography
- Czech Republic