Forest Water Supply Ecosystem Service Scores for South Korea at 500m Grid Resolution

A 2026 study by Moongi Choi evaluates and enhances Water Supply Ecosystem Service (ES) assessments for South Korean forests. The dataset likely contains grid-based scores comparing conventional and enhanced ES frameworks, incorporating indicators like soil properties and topography. It is shared under a CC-BY-4.0 license on figshare.

Use Cases

• Compare conventional versus enhanced ecosystem service scoring frameworks based on grid-based analysis.
• Analyze spatial patterns of water supply capacity based on water source distribution and inferred flow paths.
• Model hydrological contributions using indicators like soil properties, topographic conditions, and slope morphology mentioned in the description.

Strengths

• Methodological framework is empirically evaluated and enhanced using actual water source locations.
• Analysis identifies a 500m grid as the optimal resolution for the scoring approach.
• Dataset is openly shared under a permissive CC-BY-4.0 license.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The 690.2 KB file size indicates a limited scope, likely containing summary or analytical results rather than raw data.

Provenance

Source

Moongi Choi via figshare.

Collection Method

Grid-based scoring derived from terrain-based flow path analysis and sensitivity testing.

Time Range

Study published in 2026.

Freshness

Last updated 2026-04-10 05:58:06.

Geography

South Korea.