中国园林

长三角水网型城市生态拓扑网络与固碳能力的空间关系探究——以苏州市为例

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江澎 , 肖湘东 ^* , 谭立

中国园林 | 风景园林生态 2026,42(3): 124-131

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中国园林 |风景园林生态 2026 , 42 (3) : 124 -131

长三角水网型城市生态拓扑网络与固碳能力的空间关系探究——以苏州市为例

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JIANG Peng, male, born in 2001 in Yancheng, Jiangsu Province, Master's student in Golden Mantis School of Architecture, Soochow University, research area: landscape planning and design (Suzhou 215123)

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江澎　2001年生/男/江苏盐城人/苏州大学金螳螂建筑学院在读硕士研究生/研究方向为风景园林规划与设计（苏州 215123）

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XIAO Xiangdong, male, born in 1976 in Changde, Hunan Province, Ph.D., Professor, Doctoral Supervisor, and Head of Department of Landscape Architecture, Golden Mantis School of Architecture, Soochow University, research area: landscape planning and design, landscape architecture design (Suzhou 215123)

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肖湘东　1976年生/男/湖南常德人/博士/苏州大学金螳螂建筑学院风景园林系主任，教授，博士生导师/研究方向为风景园林规划与设计、风景园林建筑设计（苏州 215123）

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TAN Li, male, born in 1992 in Jianshi, Hubei Province, Ph.D., Associate Professor and Master's Supervisor at Golden Mantis School of Architecture, Soochow University, research areas: urban-rural green space networks, local landscape (Suzhou 215123)

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江澎, 肖湘东^*, 谭立

作者信息

通讯作者:

^* E-mail: ericx88@suda.edu.cn

作者简介:

江澎　2001年生/男/江苏盐城人/苏州大学金螳螂建筑学院在读硕士研究生/研究方向为风景园林规划与设计（苏州 215123）

谭立　1992年生/男/湖北建始人/博士/苏州大学金螳螂建筑学院副教授，硕士生导师/研究方向为城乡绿地网络、乡土景观（苏州 215123）

Exploring the Spatial Relationship between the Ecological Topological Network and Carbon Sequestration Capacity of the Yangtze River Delta Water Network Cities: A Case Study of Suzhou

Peng JIANG, Xiangdong XIAO^*, Li TAN

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出版时间: 2026-03-10 doi: 10.19775/j.cla.2026.03.0124

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摘要

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长三角城市作为中国现代化发展的一大缩影，其具备较为典型且值得剖析的城市扩张与生态环境间的矛盾冲突。生态网络的构建及优化作为维护区域生态安全的重要途径，其提升城市生态系统的固碳能力也已被证实是实现全球碳中和目标的有效手段。以苏州市为研究对象，基于形态空间格局分析、最小累积阻力模型、电路理论等构建生态网络，结合复杂网络理论对其拓扑结构进行评价，并探究网络各项拓扑指标与固碳能力的相关关系，根据研究结果对生态网络提出优化策略并进行韧性验证。结果表明，苏州市生态网络的固碳能力与生态源地的度、聚类系数、特征向量中心性等呈正相关，且不同类型源地的相关关系存在较大差异。新增了11个生态踏脚石及15条生态廊道，基于鲁棒性验证的网络韧性评估也证实了优化策略的科学性与可行性。对苏州市生态拓扑网络与固碳能力的空间关系进行了探究，提出了以增强固碳能力、提升生态系统韧性为导向的生态网络优化策略，为全球碳中和战略目标的实现提供了理论指导及实践参考。

关键词

风景园林 / 生态网络 / 复杂网络理论 / 拓扑结构 / 固碳能力

Abstract

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Under the global aspiration for carbon neutrality, enhancing urban carbon sink capacity has become an increasingly critical focus for nations worldwide. As urbanization continues at an unprecedented pace globally, the rapid expansion of cities has led to notable changes in land use patterns and increased habitat fragmentation, thereby exerting profound impacts on regional carbon balances. The development and optimization of ecological networks have emerged as vital strategies for safeguarding ecological security and promoting sustainable development. In recent years, an expanding body of research has demonstrated that ecological network construction is closely linked to the enhancement of urban ecosystems' carbon sequestration capacities, confirming that it is an effective approach to achieving the overarching goal of global carbon neutrality. The cities within the Yangtze River Delta (YRD), a prominent emblem of China's modernization, exemplify typical conflicts between urban expansion and ecological preservation. These conflicts highlight the urgency of adopting integrated ecological planning to reconcile urban growth with ecological integrity. In this context, the present study selects Suzhou, a key city in the YRD, as a case to investigate ecological network construction and optimization. Employing the mainstream "ecological source areas-ecological resistance surface-ecological corridors" framework, the research identifies critical ecological sources through morphological spatial pattern analysis and landscape connectivity indices. 8 factors - including dem, slope, NDVI, population density, land use, land cover, and so on - are incorporated to comprehensively evaluate landscape resistance. Using a least-cost path model, a combined ecological resistance surface is developed to quantify landscape resistance. Building upon this, core ecological corridors are extracted utilizing circuit theory and gravity models, enabling the identification of key pathways for ecological flow and connectivity. These corridors form the backbone of Suzhou's ecological network system, designed to enhance habitat connectivity and ecological stability. Subsequently, complex network theory is introduced to model the ecological topological network of Suzhou, facilitating an analysis of its structural features and their relationship with carbon sequestration capacity. Metrics such as degree centrality, clustering coefficient, and eigenvector centrality are employed to examine the network's topological roles and their influence on ecological function. The analysis reveals that Suzhou's ecological network exhibits typical water-network spatial characteristics, with primary source habitats mainly comprising lakes and forests. Ecological corridors are predominantly aligned along urban rivers and tributaries, yet the spatial distribution of ecological resources displays a notable imbalance. Correlation analyses demonstrate that the carbon sequestration capacity of ecological sources is significantly positively related to network characteristics such as degree, clustering coefficient, and eigenvector centrality. Improving these metrics - by adding ecological "stepping stones" and expanding corridors - proves effective in enhancing the network's overall carbon sequestration function. Based on the above findings, the study proposes a series of ecological network optimization strategies aimed at ecological function restoration and carbon sequestration capacity enhancement. Notably, 11 ecological stepping stones and 15 new corridors are incorporated into the network. Robustness assessments - evaluating the network's resilience and attack tolerance - show that the optimized network demonstrates higher stability and resistance against disturbances, confirming the scientific validity and practical feasibility of the optimization approach. These results validate that targeted ecological network modifications can enhance its resilience and carbon sequestration capacity. The study's outcome highlights that Suzhou's ecological network embodies a water-centric spatial pattern, with key ecological sources mainly being lakes and forests, and corridors predominantly along rivers. Although the spatial distribution of ecological resources remains uneven, targeted interventions through adding stepping stones and corridors can significantly enhance the network's carbon sequestration ability. The research aims to deepen understanding of the spatial relationship between ecological topological structures and carbon sequestration capacity, providing a scientific foundation for ecological network optimization centered on ecological function recovery and carbon storage enhancement. Overall, this study offers valuable insights for optimizing urban ecological networks in water-rich cities, with significant implications for regional ecological resilience, biodiversity conservation, and carbon sink functions. The findings hold important theoretical and practical significance for advancing urban ecological planning and contributing to the broader goals of ecological security and climate change mitigation.

Key words

landscape architecture / ecological network / complex network theory / topological structure / carbon sequestration capacity

引用本文

江澎, 肖湘东, 谭立. 长三角水网型城市生态拓扑网络与固碳能力的空间关系探究——以苏州市为例. 中国园林, 2026 , 42 (3) : 124 -131 . DOI: 10.19775/j.cla.2026.03.0124

Peng JIANG, Xiangdong XIAO, Li TAN. Exploring the Spatial Relationship between the Ecological Topological Network and Carbon Sequestration Capacity of the Yangtze River Delta Water Network Cities: A Case Study of Suzhou[J]. Chinese Landscape Architecture, 2026 , 42 (3) : 124 -131 . DOI: 10.19775/j.cla.2026.03.0124

基金

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国家自然科学基金面上项目(52178046)

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2026年第42卷第3期

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文章信息

doi: 10.19775/j.cla.2026.03.0124

接收时间：2024-04-11
首发时间：2026-07-08
出版时间：2026-03-10

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收稿日期：2024-04-11
修回日期：2024-11-15

基金

国家自然科学基金面上项目(52178046)

作者信息

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^* E-mail: ericx88@suda.edu.cn

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https://castjournals.cast.org.cn/joweb/zgyl/CN/10.19775/j.cla.2026.03.0124

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2种不同金属材料的力学参数

科 Family	属数 Number of genus	种数 Number of species	占总种数比例 Percentage of total species (%)	属 Genus	种数 Number of species	占总种数比例 Percentage of total species (%)
鹅膏菌科Amanitaceae	2	11	5.26	鹅膏菌属 Amanita	10	4.78
小菇科 Mycenaceae	2	12	5.74	丝盖伞属 Inocybe	5	2.39
多孔菌科 Polyporaceae	8	14	6.70	蜡蘑属 Laccaria	5	2.39
红菇科 Russulaceae	3	23	11.00	小皮伞属 Marasmius	6	2.87
				小菇属 Mycena	11	5.26
				光柄菇属 Pluteus	5	2.39
				红菇属 Russula	17	8.13
				栓菌属 Trametes	5	2.39

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