The fragmentation of ecological network structures has become a common problem faced by cities. By establishing the urban ecological network under a specific socio‐ecological system framework, we aimed to propose a quantitative index to diagnose the fragmentation of the network structure, and to construct detection model to explore the driving factors and mechanism of the network fragmentation. Using Shenzhen City as an example, we used the Floyd–Prim algorithm to generate the skeleton structure of the ecological network and construct a density discontinuity index to diagnose network fragmentation. Combined with the ecological network scenario, social‐ecological system framework and a two‐layer indicator system were constructed. The detection models were then established to explore the drivers of network disruption and their mode of impact. The models show that the average degree of network fragmentation in Shenzhen was 0.13, and the density of about 85% of corridor discontinuities was greater than 0.01, reflecting the serious state of structural fragmentation. Corridors with more severe structural fragmentation have poorer social‐ecological coordination. The fragmentation in Shenzhen was mainly affected by the activities of actors (A) at the microlevel and the resource system (RS) at the macrolevel. The methods and the framework of socio‐ecosystem analysis proposed in this paper can reveal the driving factors and influence modes of network fragmentation, providing decision‐making reference for ecological restoration practice in urbanized areas.

中文翻译：

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城市生态网络结构碎片化及其社会生态响应的诊断


生态网络结构的碎片化已成为城市面临的普遍问题。通过在特定的社会生态系统框架下建立城市生态网络，旨在提出一个定量指标来诊断网络结构的碎片化，并构建检测模型来探索网络碎片化的驱动因素和机制。以深圳市为例，我们使用 Floyd-Prim 算法生成生态网络的骨架结构，并构建密度不连续性指数来诊断网络碎片化。结合生态网络情景，构建了社会生态系统框架和两层指标体系。然后建立检测模型以探索网络中断的驱动因素及其影响模式。模型显示，深圳地区网络碎片化的平均程度为0.13，约85%的走廊不连续性密度大于0.01，反映了结构碎片化的严重状态。结构碎片化更严重的走廊具有较差的社会-生态协调性。深圳的碎片化主要受到微观层面参与者 （A） 和宏观层面资源系统 （RS） 活动的影响。本文提出的社会生态系统分析方法和框架可以揭示网络碎片化的驱动因素和影响模式，为城市化地区的生态恢复实践提供决策参考。