Constructing a resilient ecological network by considering source stability in the largest Chinese urban agglomeration

Lu, Zhouyangfan; Li, Wei; Zhou, Siyang

doi:10.1016/j.jenvman.2022.116989

Cited by 13 publications

(3 citation statements)

References 40 publications

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“…However, the dynamic growth of ecosystem services, influenced by various land use types, landscape patterns, and development intensity, increases the difficulty of source identification [58]. Our results illustrated significant changes in the spatial distribution of the ESI over time.…”

Section: Application Of Esp Framework Considering Source Stabilitymentioning

confidence: 72%

“…To construct the resistance surface, SPCA was employed to determine the weight of each resistance factor within the comprehensive resistance index system. SPCA converts information from multiple raster layers into several principal component factors that retain the key information of the original factors by rotating the spatial coordinate axis of the characteristic spectrum [9,58]. This process avoids correlation and information redundancy among the factors, leading to a more rational allocation of weights for comprehensive evaluation indices, thereby enhancing the objectivity and comprehensiveness of weight assignment [25].…”

Section: Construction Of the Comprehensive Resistance Surfacementioning

confidence: 99%

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Identifying Ecological Security Patterns Considering the Stability of Ecological Sources in Ecologically Fragile Areas

Ma,

Li,

Jiao

et al. 2024

Land

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Ecological security patterns (ESPs) provide an effective spatial approach for identifying critical conservation areas and ensuring regional ecological security. However, prior research has not paid much attention to the importance of the stability of ecological sources in time-series changes, which is especially critical for maintaining ecological functions in ecologically fragile areas. Focusing on the Ningxia Hui Autonomous Region (NHAR) of China, this study evaluated the spatiotemporal change patterns in ecosystem services importance (ESI) from 2000 to 2020, integrating the spatial principal component analysis (SPCA) and circuit theory to propose a novel ESP construction framework that aims to address the issue of insufficient consideration of source stability. A total of 93 stable ecological sources were identified, with the capacity to ensure the continuous provision of high-level ecosystem services and resistance to external disturbances. The extraction of 234 ecological corridors and 430 ecological nodes effectively enhanced the stable flow of ecological processes and connectivity. The stable ESP, constituted by the above ecological elements, can serve as core ecological space and basic skeleton to maintain the regional sustainable landscape. This study provides scientific references for identifying key priority conservation areas and formulating targeted ecological conservation and restoration strategies in ecologically fragile areas.

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Section: Application Of Esp Framework Considering Source Stabilitymentioning

confidence: 72%

Section: Construction Of the Comprehensive Resistance Surfacementioning

confidence: 99%

Identifying Ecological Security Patterns Considering the Stability of Ecological Sources in Ecologically Fragile Areas

Ma,

Li,

Jiao

et al. 2024

Land

View full text Add to dashboard Cite

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“…This study adopts a UA perspective, necessitating a comparison of network structure characteristics among different types of UAs during various epidemic periods and variations in influencing factors. By focusing on the connectivity and hierarchy, employing three representative indicators-degree of centrality, strength of network connections, and network density-through social network analysis, this approach ensures data accuracy, simplifies calculations, and effectively unveils the network structure characteristics of the UAs [32].…”

Section: Introductionmentioning

confidence: 99%

Network Structure Characteristics and Influencing Factors of Urban Agglomerations in China under Impact of COVID-19

Wu,

Xu,

Shi

et al. 2024

Applied Sciences

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In the context of COVID-19, the efforts undertaken for epidemic control have imposed limitations on the multifaceted development of China. This manuscript utilizes Baidu migration data from 2019 to 2023 to classify the current developmental status of urban agglomerations (UAs) in China. The explication of network structure is achieved through the computation of metrics that capture network structural connectivity and hierarchical attributes. Additionally, an inquiry into the spatio-temporal differentiation of the UAs’ network structure is carried out, encompassing three phases: before COVID-19, the normalization stage of COVID-19, and after COVID-19. Furthermore, Quantitative Analysis of Patterns (QAP) is employed to assess the impact of diverse influencing factors. The analysis yields several key findings: ① The impact of COVID-19 on the network structure of China’s UAs manifests in two discernible stages—initial impact disruption and subsequent recovery and reconstruction. ② The exploration of pertinent influencing factors during the primary stage of UA development is impeded. ③ The growth stage and the UAs with a high level of development exhibit have a closely intertwined relationship, fostering a more rational hierarchical structure and demonstrating an enhanced capacity for swift recovery. ④ It is discerned that economic development level, medical facility standards, transportation infrastructure capacity, spatial proximity, and innovation accessibility exert a discernible influence on the network structure of UAs. Importantly, the extent of impact varies across different periods and types of UAs.

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Identifying priority conservation areas in regional ecological networks using attack scenario simulation

Dang,

Lü,

Guo

et al. 2023

Global Ecology and Conservation

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Constructing a resilient ecological network by considering source stability in the largest Chinese urban agglomeration

Cited by 13 publications

References 40 publications

Identifying Ecological Security Patterns Considering the Stability of Ecological Sources in Ecologically Fragile Areas

Identifying Ecological Security Patterns Considering the Stability of Ecological Sources in Ecologically Fragile Areas

Network Structure Characteristics and Influencing Factors of Urban Agglomerations in China under Impact of COVID-19

Identifying priority conservation areas in regional ecological networks using attack scenario simulation

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