CN 11-5366/S     ISSN 1673-1530
“风景园林,不只是一本期刊。”

基于碳密度修正的长三角生态绿色一体化发展示范区碳功能区构建

Construction of Carbon Functional Zone in the Demonstration Zone of Green and Integrated Ecological Development of the Yangtze River Delta Based on Carbon Density Correction

  • 摘要:
    目的 长三角生态绿色一体化发展示范区在实现碳中和与碳达峰目标中具有重要的示范意义,精准评估探究示范区碳储量时空演变机制,揭示土地利用类型变化对碳储量的影响规律尤为关键。
    方法 基于示范区土地利用类型特征,结合气候因子构建碳密度修正模型,以提升碳储量估算精度;使用InVEST模型与QGIS软件,通过空间自相关分析,量化分析示范区2000—2020年土地利用类型变化与及碳储量演变特征并揭示碳储量空间分布规律;从碳汇-碳源视角出发,依据碳密度极差划分碳功能区。
    结果 1)2000—2020年示范区的碳储量呈现先降后升的趋势,年碳储量分别为3.17×107 t、2.58×107 t与3.26×107 t。2)土地利用类型变化是碳储量动态演变的核心驱动因素:2000—2010年耕地向建设用地转化是碳储量减少的主要原因;2010—2020年林地面积的大幅回升使得示范区的碳储量变化由负转正。示范区内碳储量空间分布呈现西北部和东部高、内陆水域及行政边界处低的特征。3)碳功能区划分结果显示碳功能平衡区面积显著增加,而碳排控制区面积有所减少,表明2000—2020年示范区的碳储结构正向集中分布与碳汇增强方向演变。
    结论 提出基于“碳汇增强区—碳功能平衡区—碳排控制区”三级分区的精细化空间低碳发展与管控策略,为示范区的低碳转型发展提供科学支持。

     

    Abstract:
    Objective The Demonstration Zone of Green and Integrated Ecological Development of the Yangtze River Delta (hereinafter referred to as the “Demonstration Zone”) holds strategic significance in achieving China’s carbon neutrality and carbon peaking goals. This research focuses on the critical need to evaluate the spatiotemporal dynamics of carbon storage under rapid land use changes, with a focus on improving the accuracy of carbon density estimation, and to construct a three-tiered zoning framework based on the carbon density gradient. The objectives are to overcome the limitations of static carbon density assumptions inherent in traditional methodologies and to bridge the gap between theoretical carbon storage models and practical governance strategies, thereby identifying and providing a framework for regional carbon management.
    Methods To achieve these objectives, the research develops a novel carbon density correction method that integrates climatic factors and land use characteristics, overcoming the limitations of fixed carbon density values in traditional approaches. The InVEST model, a widely used tool for ecosystem service assessment, is employed to quantify carbon storage changes from 2000 to 2020. Land use data from three time points (2000, 2010, and 2020) are analyzed to identify the spatiotemporal patterns of carbon storage. A land use transition matrix is constructed to reveal the primary drivers of carbon storage changes. Additionally, spatial autocorrelation analysis is conducted to identify clustering patterns of carbon storage. Based on carbon density variations, the research establishes a three-tier carbon functional zoning system that involves carbon sink enhancement zones, carbon balance zones, and carbon emission control zones. This zoning framework provides a foundation for targeted carbon management strategies.
    Results 1) From 2000 to 2020, carbon storage in the Demonstration Zone exhibited a distinct V-shaped trajectory, declining initially and then recovering. Specifically, it is estimated that the total carbon storage was respectively 3.17×107 t in 2000, 2.58×107 t in 2010 and 3.26×107 t in 2020. The decline from 2000 to 2010 was primarily driven by the expansion of construction land, which encroached on significant areas of farmland and forestland. However, from 2010 to 2020, large-scale forest restoration efforts led to a net increase in carbon storage. 2) Although the expansion of construction land encroached on substantial forestland and farmland from 2000 to 2010, the significant restoration of forestland from 2010 to 2020 resulted in a net positive carbon storage change. Spatial analysis indicates that carbon storage was concentrated in the northwestern and eastern parts of the Demonstration Zone, with lower values observed near inland water bodies and administrative boundaries. This spatial heterogeneity highlights the influence of land use types and geographic features on carbon storage distribution. 3) The delineation of carbon functional zones reveals a notable increase in carbon balance zones and a reduction in carbon emission control zones. This shift reflects a transition toward more concentrated carbon storage and enhanced carbon sink functions. The growth of carbon sink enhancement zones is largely attributed to ecological restoration policies, such as the conversion of farmland to lakes and forests, underscoring the critical role of policy interventions in enhancing carbon sequestration capacity.
    Conclusion Based on these findings, the research proposes a spatially differentiated low-carbon governance framework for the Demonstration Zone, and emphasize three pillars. 1) Zonal Regulation: Implement strict protection measures in carbon sink enhancement zones, optimize land use efficiency in balance zones, and enforce emission reduction targets in control zones. 2) Ecological restoration priorities: Scale up reforestation, wetland conservation, and “sponge city” initiatives to amplify carbon sequestration. 3) Cross-regional collaboration: Establish a unified governance platform to harmonize policies, data sharing, and carbon trading mechanisms across administrative boundaries. This research provides scientific support for the low-carbon transformation of the Demonstration Zone and offers innovative insights and practical guidance for precise carbon storage evaluation and management at the regional scale.

     

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