The carbon tug-of-war: Assessing Dongjiang waterfront’s carbon neutrality potential in the battle between emissions and sinks

IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Mengni Zhang, Pingting Hu, Jingxian Liu
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Abstract

Urban waterfronts occupy a pivotal position in the “carbon tug-of-war”, balancing the dual challenges of rising carbon emissions and declining sink capacities. This study investigates the Dongjiang waterfront in Dongguan City to assess the spatiotemporal dynamics of carbon sources and sinks, employing the PLES (Production-Living-Ecological Spaces) framework, the STIRPAT (Stochastic Impacts by Regression on Population, Affluence and Technology) model, grey relational analysis (GRA) method, and the GM (1,1) (Grey Model First-Order One-Variable) model. The findings reveal three key insights: (1) Shifting balance in the carbon struggle: From 2000 to 2022, carbon sink capacity declined by 47.6 %, while total emissions rose to 1.17 million tons, with per capita emissions reaching 5.30 tons, highlighting an increasing imbalance in the emissions-sink competition; (2) Nonlinear carbon sink dynamics: Contrary to a gradual decline, carbon sinks—particularly aquatic ecosystems—exhibit abrupt tipping points due to urbanization and industrial expansion. After an initial sharp drop, sink capacity temporarily stabilized before entering a phase of accelerated deterioration, reflecting intensifying ecological stress in the emissions-sinks battle; and (3) Spatial disparities & emission drivers: A significant proportion of emissions originates from urban-industrial areas, while rural areas contribute minimally to carbon sink. Key emission drivers include urbanization (+1.402 %), energy consumption (+0.095 %), and population density (+0.201 %), whereas waterfront ecological space helps mitigate emissions (−0.147 %). To address these multifaceted challenges, the study proposes the 5R framework—Reduction, Reuse, Recycling, Rethink, and Repair, integrating emissions reduction with ecological restoration as a strategy for sustainable waterfront development.

Abstract Image

碳拔河:在排放与汇之争中评估东江滨水区碳中和潜力
城市滨水区在“碳拉锯战”中处于举足轻重的地位,要平衡碳排放上升和碳汇容量下降的双重挑战。本文以东莞市东江滨水区为研究对象,采用生产-生活-生态空间(PLES)框架、人口、富裕和技术随机影响(STIRPAT)模型、灰色关联分析(GRA)方法和灰色模型一阶单变量(GM(1,1))模型,对滨水区碳源和碳汇的时空动态进行了评价。结果表明:(1)碳竞争的转移平衡:从2000年到2022年,碳汇容量下降了47.6%,而碳汇总排放量上升到117万吨,人均排放量达到5.30吨,凸显了碳汇竞争的不平衡加剧;(2)非线性碳汇动态:与碳汇的逐渐下降相反,碳汇(尤其是水生生态系统)在城市化和工业扩张的影响下呈现出突变的临界点。汇容量在最初急剧下降后,暂时稳定,然后进入加速恶化阶段,反映了排放-汇之战中生态压力的加剧;(3)空间差异;排放驱动因素:很大一部分排放来自城市-工业地区,而农村地区对碳汇的贡献最小。主要的排放驱动因素包括城市化(+1.402 %)、能源消耗(+ 0.095%)和人口密度(+0.201 %),而滨水生态空间有助于减缓排放(- 0.147 %)。为了应对这些多方面的挑战,该研究提出了5R框架——减少、再利用、回收、反思和修复,将减排与生态恢复结合起来,作为可持续滨水区发展的战略。
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来源期刊
Ecological Indicators
Ecological Indicators 环境科学-环境科学
CiteScore
11.80
自引率
8.70%
发文量
1163
审稿时长
78 days
期刊介绍: The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published. • All aspects of ecological and environmental indicators and indices. • New indicators, and new approaches and methods for indicator development, testing and use. • Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources. • Analysis and research of resource, system- and scale-specific indicators. • Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs. • How research indicators can be transformed into direct application for management purposes. • Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators. • Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.
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