Loess Plateau Tree Cover and Environmental Variables for Afforestation Analysis

Li Ma's 2026 dataset provides processed survey data on tree cover, carbon density, and environmental factors for China's Loess Plateau. The 4.5 MB collection includes XML files with geographic coordinates, precipitation, and slope data, plus R code for reproducing study figures. This resource supports research into vegetation state shifts and large-scale afforestation outcomes.

Use Cases

• Analyzing relationships between tree cover and environmental factors like slope and precipitation based on the described variables.
• Validating ecological models of regime shifts using the provided carbon density and tree cover data.
• Studying the impact of vegetation state changes on regional carbon stock as mentioned in the description.
• Reproducing and extending the original study's visualizations using the included R code.

Strengths

• Includes R code for figure reproduction, facilitating reproducibility and further analysis.
• Combines multiple data types (tree cover, carbon density, environmental variables) into a single 4.5 MB resource.
• Data is explicitly processed and masked for the Loess Plateau study area, providing focused analysis-ready files.

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare, author Li Ma.

Collection Method

Data extracted through masking from a survey, as described.

Freshness

Last updated 2026-04-22 08:52:20; freshness should be verified.

Geography

Loess Plateau.