An empirical assessment of whether urban green ecological networks have the capacity to store higher levels of carbon

Abstract Carbon–neutral growth is a crucial long-term climatic aim in the context of global warming. This paper introduces complex network theory and explores its potential application to achieve this goal. Specifically, we investigate the spatial and temporal distribution of nodes and sources in th...

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Main Authors: Yunshan Wan, Yilei Wang, Ming Gao, Lin Jin
Format: Article
Language:English
Published: Nature Portfolio 2024-02-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-024-52650-y
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author Yunshan Wan
Yilei Wang
Ming Gao
Lin Jin
author_facet Yunshan Wan
Yilei Wang
Ming Gao
Lin Jin
author_sort Yunshan Wan
collection DOAJ
description Abstract Carbon–neutral growth is a crucial long-term climatic aim in the context of global warming. This paper introduces complex network theory and explores its potential application to achieve this goal. Specifically, we investigate the spatial and temporal distribution of nodes and sources in the ecological network, and examine whether a relationship exists between the topological index of network nodes and the landscape pattern index of ecological source areas. We also determine the contribution of nodes to the carbon stock of the entire network by exploring the correlation between the carbon stock of nodes and sources to develop an optimization strategy based on the synergistic effect of node-source carbon enhancement. Finally, we test the effect of network optimization through robustness. Our results show that: (1) The correlation topological feature index analysis reveals that the degree distribution of the node network's topological characteristics becomes dispersed and modular, exhibiting the characteristics of small-world networks according to a large clustering coefficient. The heterogeneity and extent of ecological source landscapes have increased by modularity index but remain distributed and locally fragmented; (2) According to correlation analysis, by enhancing the eccentricity of the node topology, the patch cohesion index (COHESION) of the ecological source site can maximize the contribution of the node to the enhancement of the carbon stock benefits of the source site; (3) According to the tests on the robustness of nodes and edges and the robustness of network links, network stability is improved and carbon sink capacity is enhanced. Simultaneously, the restoration and rejuvenation of ecological space through national ecological construction projects can effectively improve the carbon sink within the organized region, contributing to the carbon neutrality aim. This research gives scientific and quantifiable references for potential ecological construction projects for sustainable cities and the optimization of urban ecological space structure.
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spelling doaj.art-638897cf65a54a55a9c35ae928bdcbe22024-03-05T19:08:34ZengNature PortfolioScientific Reports2045-23222024-02-0114111510.1038/s41598-024-52650-yAn empirical assessment of whether urban green ecological networks have the capacity to store higher levels of carbonYunshan Wan0Yilei Wang1Ming Gao2Lin Jin3School of Architecture, China Architecture Design & Research GroupDepartment of Landscape Architecture, Huazhong Agricultural UniversitySchool of Architecture, Harbin Institute of TechnologyInterdisciplinary Program in Landscape Architecture, Seoul National UniversityAbstract Carbon–neutral growth is a crucial long-term climatic aim in the context of global warming. This paper introduces complex network theory and explores its potential application to achieve this goal. Specifically, we investigate the spatial and temporal distribution of nodes and sources in the ecological network, and examine whether a relationship exists between the topological index of network nodes and the landscape pattern index of ecological source areas. We also determine the contribution of nodes to the carbon stock of the entire network by exploring the correlation between the carbon stock of nodes and sources to develop an optimization strategy based on the synergistic effect of node-source carbon enhancement. Finally, we test the effect of network optimization through robustness. Our results show that: (1) The correlation topological feature index analysis reveals that the degree distribution of the node network's topological characteristics becomes dispersed and modular, exhibiting the characteristics of small-world networks according to a large clustering coefficient. The heterogeneity and extent of ecological source landscapes have increased by modularity index but remain distributed and locally fragmented; (2) According to correlation analysis, by enhancing the eccentricity of the node topology, the patch cohesion index (COHESION) of the ecological source site can maximize the contribution of the node to the enhancement of the carbon stock benefits of the source site; (3) According to the tests on the robustness of nodes and edges and the robustness of network links, network stability is improved and carbon sink capacity is enhanced. Simultaneously, the restoration and rejuvenation of ecological space through national ecological construction projects can effectively improve the carbon sink within the organized region, contributing to the carbon neutrality aim. This research gives scientific and quantifiable references for potential ecological construction projects for sustainable cities and the optimization of urban ecological space structure.https://doi.org/10.1038/s41598-024-52650-y
spellingShingle Yunshan Wan
Yilei Wang
Ming Gao
Lin Jin
An empirical assessment of whether urban green ecological networks have the capacity to store higher levels of carbon
Scientific Reports
title An empirical assessment of whether urban green ecological networks have the capacity to store higher levels of carbon
title_full An empirical assessment of whether urban green ecological networks have the capacity to store higher levels of carbon
title_fullStr An empirical assessment of whether urban green ecological networks have the capacity to store higher levels of carbon
title_full_unstemmed An empirical assessment of whether urban green ecological networks have the capacity to store higher levels of carbon
title_short An empirical assessment of whether urban green ecological networks have the capacity to store higher levels of carbon
title_sort empirical assessment of whether urban green ecological networks have the capacity to store higher levels of carbon
url https://doi.org/10.1038/s41598-024-52650-y
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