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<p>In the quest for carbon neutrality, optimizing the spatial layout of urban green infrastructure (UGI) is crucial for the carbon sink efficiency of green spaces. Morphological spatial pattern analysis (MSPA) can precisely classify raster images, greatly supporting the optimization of spatial structures. It is still a novel approach in the field of urban green space carbon sink performance research. This paper utilized MSPA along with hotspot analysis and various statistical methods to investigate and elucidate the mechanism of green infrastructure (GI) spatial pattern characteristics and carbon sink performance in 210 study units (each measuring 2&#xa0;km x 2&#xa0;km) in the central city of Nanjing. Results categorized study units into high, medium, and low carbon sink performance levels, revealing variations in the correlation between spatial patterns and carbon sink performance levels. Lower carbon sink performance levels show a stronger positive correlation with Core, while higher carbon sink performance levels exhibit a stronger negative correlation with Islet and Branch. We further introduced environmental factors such as temperature and Normalized Vegetation Index (NDVI) to reveal the indirect relationship of action of MSP affecting the performance of GI carbon sinks. Based on these findings, we proposed relevant strategies to improve the performance of GI carbon sinks from the MSP perspective.</p>

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Investigating the influence of MSPA - driven spatial arrangement in UGI on carbon sink efficiency

  • 期刊论文

  • 发表日期：

    2025年11月20日

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  • Hangna Dong,
  • Yu Chen,
  • Bo Tang,
  • Ren Lv,
  • Jian Jin

摘要

In the quest for carbon neutrality, optimizing the spatial layout of urban green infrastructure (UGI) is crucial for the carbon sink efficiency of green spaces. Morphological spatial pattern analysis (MSPA) can precisely classify raster images, greatly supporting the optimization of spatial structures. It is still a novel approach in the field of urban green space carbon sink performance research. This paper utilized MSPA along with hotspot analysis and various statistical methods to investigate and elucidate the mechanism of green infrastructure (GI) spatial pattern characteristics and carbon sink performance in 210 study units (each measuring 2 km x 2 km) in the central city of Nanjing. Results categorized study units into high, medium, and low carbon sink performance levels, revealing variations in the correlation between spatial patterns and carbon sink performance levels. Lower carbon sink performance levels show a stronger positive correlation with Core, while higher carbon sink performance levels exhibit a stronger negative correlation with Islet and Branch. We further introduced environmental factors such as temperature and Normalized Vegetation Index (NDVI) to reveal the indirect relationship of action of MSP affecting the performance of GI carbon sinks. Based on these findings, we proposed relevant strategies to improve the performance of GI carbon sinks from the MSP perspective.