Pine Plantation Soil and Microbial Data Across Stand Density Gradient

Soil and microbial data from Pinus sylvestris plantations across four stand density levels and two soil depths. The dataset includes measurements of soil organic carbon, total nitrogen, enzyme activities, and microbial network properties. Fengzi Li published this research data on figshare in April 2026.

Use Cases

• Modeling ecosystem multifunctionality using predictors like soil organic carbon, total nitrogen, and enzyme activities (URE, PHO, NR).
• Analyzing the relationship between stand density and microbial network stability metrics.
• Investigating soil depth effects on key variables such as pH, ammonium nitrogen (NH₄⁺-N), and polyphenol oxidase (PPO) activity.
• Examining fungal community composition sensitivity to density gradients compared to bacterial composition.
• Using Mantel test results to identify environmental drivers (e.g., pH, SOC, TN) for specific microbial phyla like Ascomycota and Basidiomycota.

Strengths

• Data integrates multiple analysis types: soil physicochemical properties, enzymatic activities, and microbial network topology.
• Samples were collected along a defined density gradient (583 to 2,450 trees ha⁻¹) and at two soil depths (0–20 cm, 20–40 cm).
• Analysis includes advanced statistical methods like Random Forest regression and Partial Least Squares Path Modeling (PLS-PM).

Limitations

• The dataset is small at 6.5 MB, suggesting a limited sample size or number of observations.
• Geographic scope is limited to a single study area in the Otingdag Sandy Land.
• Specific row count and column names are not provided, limiting precise assessment of data volume and structure.

Provenance

Source

figshare, authored by Fengzi Li.

Collection Method

Field sampling and laboratory analysis of soil from Pinus sylvestris var. mongholica plantations.

Freshness

Data was last updated in April 2026.

Geography

Otingdag Sandy Land.