Published

2023-11-10

Analysis of Green Infrastructure Network Pattern Change in Zhengzhou Central City Based on Morphological Spatial Pattern Analysis

Análisis de los cambios de patrones en las redes de infraestructura verde en la ciudad de Zhengzhou, China, con base en el Análisis Morfológico de los Patrones Espaciales

DOI:

https://doi.org/10.15446/esrj.v27n3.106532

Keywords:

Landscape architecture, Morphological Spatial Pattern Analysis, Green Infrastructure, Zhengzhou central city (en)
arquitectura del paisaje, Análisis Morfológico de los Patrones Espaciales, infraestructura verde, ciudad de Zhengzhou (es)

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Authors

  • Zhetao Xiao School of Architecture, North China University of Water Resources and Electric Power, Zhengzhou 450046, China
  • Donghui Zhao School of Art and Design, North China University of Water Resources and Electric Power, Zhengzhou 450046, China
  • Lijun Hao School of Art and Design, North China University of Water Resources and Electric Power, Zhengzhou 450046, China

Green infrastructure is generally regarded as an effective way to maintain regional ecological security, and its construction method plays an essential role in its function realization. In this study, the central urban area of Zhengzhou was taken as the research area. The land use type maps of the study area were obtained through the supervised classification of TM/ETM Remote sensing image data in 2007, 2011, 2015, and 2019. The Green Infrastructure (GI) in the study area was obtained by Morphological Spatial Pattern Analysis (MSPA) based on the landscape connectivity index and landscape map theory. The landscape connectivity of the core area was classified and quantitatively evaluated. Then, the potential ecological corridors were extracted and analyzed. The GI pattern change research based on MSPA, landscape connectivity, and map theory provided a new framework for analyzing GI pattern change. Finally, the spatial structure of green infrastructure planning in Zhengzhou central city is obtained, and the optimization strategy of network structure is proposed. The research results can provide references for the planning and optimization of GI networks in the study area and have particular reference significance for the planning and construction of GI networks in other areas.

La infraestructura verde es comúnmente considerada una vía efectiva para mantener la seguridad ecológica regional y su método de construcción juega un papel esencial en su funcionalidad. En este estudio se definió el área central de Zhengzhou como la zona de investigación. Los mapas de uso del suelo en el área de estudio se obtuvieron a través de la clasificación supervisada de la información de imágenes Landsat (TM/ETM) en 2007, 2011, 2015 y 2019. La infraestructura verde en el área de estudio se obtuvo con el Análisis Morfológico de los Patrones Espaciales (del inglés Morphological Spatial Pattern Analysis, MSPA) con base en el índice de conectividad del paisaje y la teoría del mapa del paisaje. La conectividad del paisaje en la zona central del área de estudio se clasificó y se evaluó cuantitativamente. Luego se extrajeron y se analizaron los corredores ecológicos potenciales. La investigación sobre el cambio en el patrón de la infraestructura verde con base en el método MSPA, en la conectividad del paisaje y en la teoría de mapas significó un nuevo marco teórico para analizar el cambio de patrón de este tipo de infraestructura. Finalmente se obtuvo la estructura espacial de la infraestructura verde planeada por la administración de la ciudad de Zhengzhou y se propuso una estrategia de optimización de esta red estructural. Los resultados de la investigación pueden ofrecer referencias para la planeación y optimización de redes de infraestructura verde en el área de estudio y tiene una referenciación particular en estos procesos de planeación y construcción en otras áreas geográficas.

References

Benedict, M. A., & McMahon, E. T. (2012). Green infrastructure: linking landscapes and communities. Island Press.

Byrne, J. A., Lo, A. Y., & Jianjun, Y. (2015). Residents’ understanding of the role of green infrastructure for climate change adaptation in Hangzhou, China. Landscape and Urban Planning, 138, 132-143. https://doi.org/10.1016/j.landurbplan.2015.02.013 DOI: https://doi.org/10.1016/j.landurbplan.2015.02.013

Chang, Q., Li, S., Wang, Y., Wu, J., & Xie, M. (2013). Spatial process of green infrastructure changes associated with rapid urbanization in Shenzhen, China. Chinese Geographical Science, 23(1), 113-128. https://doi.org/10.1007/s11769-012-0568-3 DOI: https://doi.org/10.1007/s11769-012-0568-3

Chen, W. Y. (2015). The role of urban green infrastructure in offsetting carbon emissions in 35 major Chinese cities: A nationwide estimate. Cities, 44, 112-120. https://doi.org/10.1016/j.cities.2015.01.005 DOI: https://doi.org/10.1016/j.cities.2015.01.005

Gao, Y. L., Huang, H., & Li, Z. H. (2019). Construction of the ecological network of Pingtan Island based on MSPA. Journal of Fujian Agriculture and Forestry University (Natural Science Edition), 48(05), 640-648.

Liu, B. Y., Zhang, D. S., & Liu, H. (2013). Studies and practices on urban green infrastructure. Chinese Landscape Architecture, 29(03), 6-10.

Ostapowicz, K., Vogt, P., Riitters, K. H., Kozak, J., & Estreguil, C. (2008). Impact of scale on morphological spatial pattern of forest. Landscape Ecology, 23(9), 1107-1117. https://doi.org/10.1007/s10980-008-9271-2 DOI: https://doi.org/10.1007/s10980-008-9271-2

Qiu, Y., Chang, Q., & Wang, J. A. (2013). An MSPA-based Planning of Urban Green Infrastructure Network—A Case of Shenzhen. Chinese Landscape Architecture, 29(05), 104-108.

Wang, Y., & Lin, Q. (2017). The transformation of planning ideas and the exploration of planning methods of urban green space ecological network based on MSPA. Chinese Landscape Architecture, 33(05), 68-73.

Wang, Y. Y., Shen, C. Z., & Jin, X. B. (2019). Developing and optimizing ecological networks based on MSPA and MCR models. Ecological Science, 38(2), 138-145.

Xie, Y. S., Wang, Q. N., & Luo, Y. Y. (2020). City-level urban green infrastructure evaluation index system based on MSPA—A case study of major cities in Sichuan Province. Chinese Landscape Architecture, 36(07), 87-92.

Xu, F., Yin, H. W., Kong, F. H., & Xu, J. (2015). Developing ecological networks based on MSPA and the least-cost path method: a case study in Bazhong western new district. Acta Ecologica Sinica, 35(19), 6425-6434. DOI: https://doi.org/10.5846/stxb201402130248

Yang, Z. G., Jiang, Z. Y., Guo, C. X., Yang, X. J., Xu, X. J., Li, X., Hu, Z. M., & Zhou, H. Y. (2018). Construction of ecological network using morphological spatial pattern analysis and minimal cumulative resistance models in Guangzhou City, China. Chinese Journal of Applied Ecology, 29(10), 3367–3376. https://doi.org/10.13287/j.1001-9332.201810.019

Yu, Y. P., Yin, H. W., Kong, F. H., Wang, J. J., & Xu, W. B. (2016). Scale effect of Nanjing urban green infrastructure network pattern and connectivity analysis. Chinese Journal of Applied Ecology, 27(07), 2119-2127. DOI: 10.13287/j.1001-9332.201607.006

Zhu, Z., Ren, J., & Liu, X. (2019). Green infrastructure provision for environmental justice: Application of the equity index in Guangzhou, China. Urban Forestry & Urban Greening, 46, 126443. https://doi.org/10.1016/j.ufug.2019.126443 DOI: https://doi.org/10.1016/j.ufug.2019.126443

How to Cite

APA

Xiao, Z., Zhao, D. and Hao, L. (2023). Analysis of Green Infrastructure Network Pattern Change in Zhengzhou Central City Based on Morphological Spatial Pattern Analysis. Earth Sciences Research Journal, 27(3), 289–297. https://doi.org/10.15446/esrj.v27n3.106532

ACM

[1]
Xiao, Z., Zhao, D. and Hao, L. 2023. Analysis of Green Infrastructure Network Pattern Change in Zhengzhou Central City Based on Morphological Spatial Pattern Analysis. Earth Sciences Research Journal. 27, 3 (Nov. 2023), 289–297. DOI:https://doi.org/10.15446/esrj.v27n3.106532.

ACS

(1)
Xiao, Z.; Zhao, D.; Hao, L. Analysis of Green Infrastructure Network Pattern Change in Zhengzhou Central City Based on Morphological Spatial Pattern Analysis. Earth sci. res. j. 2023, 27, 289-297.

ABNT

XIAO, Z.; ZHAO, D.; HAO, L. Analysis of Green Infrastructure Network Pattern Change in Zhengzhou Central City Based on Morphological Spatial Pattern Analysis. Earth Sciences Research Journal, [S. l.], v. 27, n. 3, p. 289–297, 2023. DOI: 10.15446/esrj.v27n3.106532. Disponível em: https://revistas.unal.edu.co/index.php/esrj/article/view/106532. Acesso em: 28 mar. 2025.

Chicago

Xiao, Zhetao, Donghui Zhao, and Lijun Hao. 2023. “Analysis of Green Infrastructure Network Pattern Change in Zhengzhou Central City Based on Morphological Spatial Pattern Analysis”. Earth Sciences Research Journal 27 (3):289-97. https://doi.org/10.15446/esrj.v27n3.106532.

Harvard

Xiao, Z., Zhao, D. and Hao, L. (2023) “Analysis of Green Infrastructure Network Pattern Change in Zhengzhou Central City Based on Morphological Spatial Pattern Analysis”, Earth Sciences Research Journal, 27(3), pp. 289–297. doi: 10.15446/esrj.v27n3.106532.

IEEE

[1]
Z. Xiao, D. Zhao, and L. Hao, “Analysis of Green Infrastructure Network Pattern Change in Zhengzhou Central City Based on Morphological Spatial Pattern Analysis”, Earth sci. res. j., vol. 27, no. 3, pp. 289–297, Nov. 2023.

MLA

Xiao, Z., D. Zhao, and L. Hao. “Analysis of Green Infrastructure Network Pattern Change in Zhengzhou Central City Based on Morphological Spatial Pattern Analysis”. Earth Sciences Research Journal, vol. 27, no. 3, Nov. 2023, pp. 289-97, doi:10.15446/esrj.v27n3.106532.

Turabian

Xiao, Zhetao, Donghui Zhao, and Lijun Hao. “Analysis of Green Infrastructure Network Pattern Change in Zhengzhou Central City Based on Morphological Spatial Pattern Analysis”. Earth Sciences Research Journal 27, no. 3 (November 10, 2023): 289–297. Accessed March 28, 2025. https://revistas.unal.edu.co/index.php/esrj/article/view/106532.

Vancouver

1.
Xiao Z, Zhao D, Hao L. Analysis of Green Infrastructure Network Pattern Change in Zhengzhou Central City Based on Morphological Spatial Pattern Analysis. Earth sci. res. j. [Internet]. 2023 Nov. 10 [cited 2025 Mar. 28];27(3):289-97. Available from: https://revistas.unal.edu.co/index.php/esrj/article/view/106532

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CrossRef citations2

1. Feiyu Chen, Qiaoling Luo, Zhibing Zhu. (2025). Integrating static and dynamic analyses in a spatial management framework to enhance ecological networks connectivity in the context of rapid urbanization. Ecological Modelling, 501, p.111022. https://doi.org/10.1016/j.ecolmodel.2025.111022.

2. Zhongwei Jing, Peng Chen. (2024). Research on the Construction of a Composite Humanistic Forest Ecological Corridor in the Main Urban Area of Daqing City. Sustainability, 16(8), p.3122. https://doi.org/10.3390/su16083122.

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