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微气候中介作用下住区绿地格局对碳汇效率的非线性影响

陈曦 石强 陈仕晟 马彦红 谢浩宇

中国城市林业2026,Vol.24Issue(4):17-24,8.
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中国城市林业2026,Vol.24Issue(4):17-24,8.DOI:10.12169/zgcsly.2026.06.15.0001

微气候中介作用下住区绿地格局对碳汇效率的非线性影响

Non-linear Effects of Residential Green Space Patterns on Carbon Sequestration Efficiency Under Microclimate Mediation

陈曦 1石强 1陈仕晟 2马彦红 1谢浩宇1

作者信息

  • 1. 大连理工大学建筑与艺术学院,辽宁 大连 116024
  • 2. 福州大学建筑与城乡规划学院,福州 350108
  • 折叠

摘要

Abstract

[Objective]The study aims to reveal the non-linear regulatory patterns of spatial configuration of green space on vegetation carbon sink efficiency(net primary productivity,NPP)in urban residential compounds,and to identify the transmission pathways and critical thresholds of the"pattern-microclimate-carbon sink efficiency"chain,thereby providing a quantitative basis for low-carbon-oriented residential green space renewal.[Method]Taking multi-storey residential areas in Dalian as the study object,the study constructs residential green space scenarios,and estimates the NPP under each scenario by coupling ENVI-met microclimate simulation with an improved CASA model.Random forest regression and the SHAP method are then employed to identify the non-linear effects of three categories of green space pattern indices including scale,configuration and shape on carbon sink efficiency.[Result]1)Mean patch area and dispersion are the dominant indicators,with their combined importance at 69.5%;and 2)The impacts of various green space pattern indices on carbon sink efficiency exhibit significant non-linearity.The optimal ranges for key pattern metrics are identified,which include a green space ratio of 13%-31%,a mean patch area≤500 m2,a dispersion of 0.52-0.58,and a perimeter-to-area ratio of 0.22-0.48 m•m-2.[Conclusion]Residential green space should be planned beyond the"quantity-oriented"paradigm.Under the premise of ensuring a reasonable scale of green space,it is recommended to avoid large contiguous patches and instead adopt refined spatial layouts featuring moderate dispersion and complex boundaries to maximize the carbon sequestration benefits of vegetation.

关键词

住区绿地/绿地格局/碳汇/微气候/机器学习

Key words

residential green space/green space pattern/carbon sink/microclimate/machine learning

引用本文复制引用

陈曦,石强,陈仕晟,马彦红,谢浩宇..微气候中介作用下住区绿地格局对碳汇效率的非线性影响[J].中国城市林业,2026,24(4):17-24,8.

基金项目

国家自然科学基金青年基金(52308049) (52308049)

辽宁省大学生创新训练计划项目(20251014141103) (20251014141103)

中国城市林业

1672-4925

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