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author:

Deng, Y. (Deng, Y..) [1] | Huang, M. (Huang, M..) [2] | Gong, D. (Gong, D..) [3] | Ge, Y. (Ge, Y..) [4] | Lin, H. (Lin, H..) [5] | Zhu, D. (Zhu, D..) [6] | Chen, Y. (Chen, Y..) [7] | Altan, O. (Altan, O..) [8]

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Scopus

Abstract:

In addressing global climate change and promoting economic growth, achieving a comprehensive carbon balance at the county level is vital for sustainable development. However, most studies focus on the balance between carbon emissions and sequestration (CESB), neglecting the intricate ecological and economic carbon balance (EECB) at this scale. This study introduces an analytical framework that couples economic development with ecological protection by using coupling coordination degree analysis, carbon balance zoning, and the Markov-PLUS model. Taking Jiangxi Province as a case study, we evaluate the spatio-temporal dynamics of carbon balance from 2000–2020 and predict future trends for 2030 under four potential development scenarios. Results reveal significant regional variations in CESB over the two decades, which primarily exhibit net carbon emission. Meanwhile, the continuous decline in EECB highlights the need for balanced economic and ecological development. By 2030, the land use's carbon sequestration capacity is expected to increase under different scenarios, leading to a ‘middle-high, sides-low’ spatial pattern in CESB. These findings are crucial for policymakers in devising strategies for sustainable regional development. © 2025 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

Keyword:

Carbon balance carbon emission ecological protection economic development land use scenario simulation

Community:

  • [ 1 ] [Deng Y.]School of Geography and Environment, Key Laboratory of Natural Disaster Monitoring, Early Warning and Assessment of Jiangxi Province, Jiangxi Normal University, Nanchang, China
  • [ 2 ] [Huang M.]School of Geography and Environment, Key Laboratory of Natural Disaster Monitoring, Early Warning and Assessment of Jiangxi Province, Jiangxi Normal University, Nanchang, China
  • [ 3 ] [Gong D.]School of Geography and Environment, Key Laboratory of Natural Disaster Monitoring, Early Warning and Assessment of Jiangxi Province, Jiangxi Normal University, Nanchang, China
  • [ 4 ] [Ge Y.]School of Geography and Environment, Key Laboratory of Natural Disaster Monitoring, Early Warning and Assessment of Jiangxi Province, Jiangxi Normal University, Nanchang, China
  • [ 5 ] [Ge Y.]State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
  • [ 6 ] [Lin H.]School of Geography and Environment, Key Laboratory of Natural Disaster Monitoring, Early Warning and Assessment of Jiangxi Province, Jiangxi Normal University, Nanchang, China
  • [ 7 ] [Zhu D.]College of Computer and Data Science, Fuzhou University, Fuzhou, China
  • [ 8 ] [Zhu D.]Department of Geography, Geomatics and Environment, University of Toronto, Mississauga, Canada
  • [ 9 ] [Chen Y.]School of Geography and Environment, Key Laboratory of Natural Disaster Monitoring, Early Warning and Assessment of Jiangxi Province, Jiangxi Normal University, Nanchang, China
  • [ 10 ] [Altan O.]Department of Geomatics, Istanbul Technical University, Istanbul, Turkey

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Source :

International Journal of Digital Earth

ISSN: 1753-8947

Year: 2025

Issue: 1

Volume: 18

3 . 7 0 0

JCR@2023

Cited Count:

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SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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