Geomorphology-Informed Habitat Quality Dynamics in a Semi-Arid Coal-Mining Area, 1995-2023

From 1995 to 2023, this dataset assesses habitat quality dynamics and restoration priorities in the Yushenfu mining area. It was created by Zhan Zhanrong using a multi-source framework integrating InVEST-based assessment, spatial autocorrelation, trend analysis, structural equation modeling, and connectivity modeling. The data shows a regional increase in very low-quality habitats from 18.01% to 26.13% and a contraction of core habitat area from 648.39 km² to 349.01 km².

Use Cases

• Modeling habitat quality trends based on geomorphology and human modification drivers.
• Identifying ecological connectivity bottlenecks based on circuit theory and graph indices.
• Prioritizing restoration zones based on landform-stratified, connectivity-oriented analysis.
• Analyzing shifts in habitat quality drivers from vegetation-mediated to human-cumulative factors.

Strengths

• Provides a 28-year time series from 1995 to 2023.
• Includes specific, quantified changes in habitat quality classes (e.g., very low-quality habitats increased from 18.01% to 26.13%).
• Reports core habitat area contraction from 648.39 km² to 349.01 km².
• Applies a multi-method framework integrating InVEST, MSPA, graph theory, and circuit theory.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The primary file format is DOCX, which may require extraction or conversion for geospatial analysis.

Provenance

Source

figshare

Collection Method

Developed using a geomorphology-informed, multi-source framework integrating InVEST-based HQ assessment, spatial autocorrelation, trend analysis, structural equation modeling, and connectivity modeling.

Time Range

1995 to 2023

Freshness

Last updated 2026-05-07 05:34:32; freshness should be verified.

Geography

Yushenfu mining area (semi-arid coal-mining landscape)