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<p>The establishment of ecological security patterns (ESPs) is crucial for maintaining ecosystem integrity; however, how spatial scale effects influence ESP optimization remains insufficiently understood. Taking the Lijiang River Basin—a typical karst landscape in Southwest China—as a study area, this research systematically compared ESPs constructed at three spatial resolutions (10&#xa0;m, 30&#xa0;m, and 100&#xa0;m). We integrated morphological spatial pattern analysis (MSPA), landscape connectivity metrics, and circuit theory, validating the outputs through a dual approach using protected area overlap and Normalized Difference Vegetation Index (NDVI) data. Our findings revealed distinct scale-dependent characteristics: (1) Core habitats (ranging from 3,197 to 3,471 km<sup>2</sup>) were predominantly distributed in the northern and eastern regions, with the 30&#xa0;m resolution yielding the largest contiguous core area (3,471 km<sup>2</sup>). (2) The identification of ecological sources exhibited scale dependency, capturing 11 sources (2,385 km<sup>2</sup>) at 10&#xa0;m, 9 sources (3,057 km<sup>2</sup>) at 30&#xa0;m, and 12 sources (2,484 km<sup>2</sup>) at 100&#xa0;m, characterized by non-linear responses in probability of connectivity (dPC) values. (3) Landscape network connectivity indices (α, β, and γ) peaked at the 10&#xa0;m resolution (0.37, 1.56, and 0.60, respectively), whereas the 30&#xa0;m resolution achieved the highest spatial overlap with existing protected areas (73.9%). (4) NDVI-based validation confirmed the superior ecological quality of identified sources across all scales (<i>p</i> &lt; 0.001, Cohen’s d &gt; 0.8), with the 10&#xa0;m resolution demonstrating the strongest effect size (d = 0.846). (5) Sensitivity analysis across distance thresholds (1–30&#xa0;km) demonstrated the robustness of the connectivity model, with variation in key metrics remaining below 20%. The multi-scale comparison highlighted critical trade-offs: the 10&#xa0;m resolution offers high ecological fidelity by capturing micro-habitats (20–50&#xa0;m) essential for precise corridor design, whereas the 30&#xa0;m resolution aligns better with macro-policy formulation. Based on these findings, we propose a hierarchical ESP framework featuring zone-specific conservation strategies: ecological preservation in the northern reserves (1,391 km<sup>2</sup>), corridor restoration in the eastern transit zones (45&#xa0;km), and stepping-stone enhancement in the southern fragmented landscapes (12.4 km<sup>2</sup>). This study provides actionable guidance for spatial planning in karst regions and highlights that spatial resolution is a fundamental determinant of ESP efficacy.</p>

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Differential evaluation of multi-scale ecological security pattern construction based on MSPA model—a case study of the Lijiang River Basin in China

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  • 出版模式：

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  • 发表日期：

    2026年7月27日

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  • Lin Zhang,
  • Zhiyu Zhou,
  • Min Lin,
  • Yanping Lan,
  • Wenkuan Wang,
  • Jianjun Chen

摘要

The establishment of ecological security patterns (ESPs) is crucial for maintaining ecosystem integrity; however, how spatial scale effects influence ESP optimization remains insufficiently understood. Taking the Lijiang River Basin—a typical karst landscape in Southwest China—as a study area, this research systematically compared ESPs constructed at three spatial resolutions (10 m, 30 m, and 100 m). We integrated morphological spatial pattern analysis (MSPA), landscape connectivity metrics, and circuit theory, validating the outputs through a dual approach using protected area overlap and Normalized Difference Vegetation Index (NDVI) data. Our findings revealed distinct scale-dependent characteristics: (1) Core habitats (ranging from 3,197 to 3,471 km2) were predominantly distributed in the northern and eastern regions, with the 30 m resolution yielding the largest contiguous core area (3,471 km2). (2) The identification of ecological sources exhibited scale dependency, capturing 11 sources (2,385 km2) at 10 m, 9 sources (3,057 km2) at 30 m, and 12 sources (2,484 km2) at 100 m, characterized by non-linear responses in probability of connectivity (dPC) values. (3) Landscape network connectivity indices (α, β, and γ) peaked at the 10 m resolution (0.37, 1.56, and 0.60, respectively), whereas the 30 m resolution achieved the highest spatial overlap with existing protected areas (73.9%). (4) NDVI-based validation confirmed the superior ecological quality of identified sources across all scales (p < 0.001, Cohen’s d > 0.8), with the 10 m resolution demonstrating the strongest effect size (d = 0.846). (5) Sensitivity analysis across distance thresholds (1–30 km) demonstrated the robustness of the connectivity model, with variation in key metrics remaining below 20%. The multi-scale comparison highlighted critical trade-offs: the 10 m resolution offers high ecological fidelity by capturing micro-habitats (20–50 m) essential for precise corridor design, whereas the 30 m resolution aligns better with macro-policy formulation. Based on these findings, we propose a hierarchical ESP framework featuring zone-specific conservation strategies: ecological preservation in the northern reserves (1,391 km2), corridor restoration in the eastern transit zones (45 km), and stepping-stone enhancement in the southern fragmented landscapes (12.4 km2). This study provides actionable guidance for spatial planning in karst regions and highlights that spatial resolution is a fundamental determinant of ESP efficacy.