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Spatio-Temporal Relationship between Land Use Carbon Emissions and Ecosystem Service Value in Guanzhong, China

Author

Listed:
  • Ruijie Zhang

    (School of Architecture, Chang’an University, Xi’an 710061, China)

  • Kanhua Yu

    (School of Architecture, Chang’an University, Xi’an 710061, China
    Key Laboratory of Historical and Cultural Heritage Protection, Inheritance and Spatial Planning in Shaanxi Province, Xi’an 710082, China
    These authors contributed equally to this work.)

  • Pingping Luo

    (School of Water and Environment, Chang’an University, Xi’an 710054, China
    Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region, Chang’an University, Ministry of Education, Xi’an 710054, China
    Shaanxi Province Innovation and Introduction Base for Discipline of Urban and Rural Water Security and Rural Revitalization in Arid Areas, Chang’an University, Xi’an 710054, China
    Xi’an Monitoring, Modelling and Early Warning of Watershed Spatial Hydrology International Science and Technology Cooperation Base, Chang’an University, Xi’an 710054, China)

Abstract

In the context of escalating global concerns for “carbon neutrality and peak carbon” and the urgent need for ecological conservation, deciphering the spatiotemporal interactions between carbon emissions and the ecosystem service value (ESV) in relation to land use changes becomes critically significant. Identifying areas to bolster ecosystem services and curtail carbon emissions, especially within the Guanzhong urban agglomeration, is crucial for advancing sustainable and low-carbon regional development. The study focuses on the urban agglomeration of Guanzhong, using land use and socio-economic data from three periods between 2010 and 2020. Methods such as grid analysis and bivariate spatial autocorrelation models are employed to explore the temporal and spatial evolution characteristics and interaction patterns of carbon emissions and ESV in relation to land use. The findings reveal: (1) during 2010–2020, the Guanzhong urban agglomeration experienced varied transitions in land use types, marked by a significant net decrease in arable land and net increases in grasslands and urban construction areas. (2) The ESV in the Guanzhong urban agglomeration witnessed a consistent rise, exhibiting a spatial distribution pattern with higher values in the southwest and lower in the northeast. Among the categorized ecosystem service functions, services related to hydrological and climate regulation stood out. (3) The Guanzhong urban agglomeration observed an average annual growth rate of 5.03% in carbon emissions due to land use, with a spatial trend that was higher in the center and tapered towards the periphery. Predominant carbon sources included arable lands and urban construction areas, while forests accounted for 94% of carbon sequestration. (4) A pronounced negative correlation between the ESV and carbon emissions was discerned in Guanzhong. Regions with a stronger correlation were primarily centered in Guanzhong, notably around Xi’an and Baoji. The results emphasize the pivotal role of the primary sector’s qualitative development in harmonizing the ESV and carbon emission dynamics in the Guanzhong urban agglomeration. This research provides valuable insights for optimizing land resource management, aligned with the rural revitalization strategy, streamlining carbon dynamics, bolstering ESV, augmenting carbon sequestration efficiency, and guiding ecological spatial planning.

Suggested Citation

  • Ruijie Zhang & Kanhua Yu & Pingping Luo, 2024. "Spatio-Temporal Relationship between Land Use Carbon Emissions and Ecosystem Service Value in Guanzhong, China," Land, MDPI, vol. 13(1), pages 1-21, January.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:1:p:118-:d:1323548
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    References listed on IDEAS

    as
    1. Tiecheng Huang & Wenjiang Huang & Kun Wang & Yongkang Li & Zhenhai Li & Yong’an Yang, 2022. "Ecosystem Service Value Estimation of Paddy Field Ecosystems Based on Multi-Source Remote Sensing Data," Sustainability, MDPI, vol. 14(15), pages 1-22, August.
    2. Daowei Zhang & Anne Stenger, 2015. "Value and valuation of forest ecosystem services," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 4(2), pages 129-140, July.
    3. Min Liu & Jianpeng Fan & Yating Wang & Chanjuan Hu, 2021. "Study on Ecosystem Service Value (ESV) Spatial Transfer in the Central Plains Urban Agglomeration in the Yellow River Basin, China," IJERPH, MDPI, vol. 18(18), pages 1-27, September.
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