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

基于多模型耦合的北京市门头沟区土地利用变化模拟与碳储量评估

Simulation of Land Use Change and Carbon Storage Assessment in Mentougou District, Beijing Based on a Multi-model Coupling Framework

  • 摘要:
    目的 在全球气候变化加剧与“双碳”目标持续推进的背景下,研究北京市门头沟区的土地利用变化及碳储量动态,以及对区域生态安全格局与城市可持续发展的影响。
    方法 以门头沟区为研究对象,基于2000、2010、2020年共3年的土地利用数据,构建系统动力学(system dynamics, SD)模型、斑块生成土地利用模拟(patch-generating land use simulation, PLUS)模型与生态系统服务评估与权衡模型(integrated valuation of ecosystem services and trade-offs, InVEST)的多模型耦合框架,在共享社会经济路径与典型浓度路径(shared socioeconomic pathways-representative concentration pathways, SSP-RCPs)情景框架下,设置3种未来发展情景,对土地利用变化及其碳储量响应进行模拟与评估。
    结果 研究结果表明:1)不同情景下土地利用变化呈现显著差异,建设用地扩张与生态用地保护之间存在明显权衡关系;2)维持“林地-草地-水体”的协同格局是提升区域碳储量的关键,中等辐射强迫情景最有利于门头沟区实现生态保护与经济发展的协同目标;3)在山地地形约束与严格空间管控背景下,碳储量在空间上呈现较明显的差异性,建设活动沿河谷和平缓区集聚对碳汇功能影响尤为突出。
    结论 构建了“土地利用—情景模拟—碳储量评估”的综合分析框架,可为门头沟区国土空间规划与低碳发展路径优化提供情景支撑,也为北京市生态优先与绿色发展战略的实施提供科学依据。

     

    Abstract:
    Objective Against the background of intensifying global climate change and the advancement of carbon neutrality goals, extreme weather events impact the the Earth’s natural environment, human survival, and socioeconomic development. The Intergovernmental Panel on Climate Change (IPCC) Sixth Assessment Report states that the world must implement deep, rapid, and sustained emission reductions to address climate risks in the future. As major centers of energy consumption and carbon emissions, cities have become key units in achieving low-carbon transition goals. How to achieve the coordinated development of urban low-carbon transition and ecological security has emerged as a hot topic in current research. As Beijing’s only purely mountainous district and a typical mountainous, resource-based transition area, Mentougou District faces highly distinctive climate risks and land-use pressures. Changes in its land use and dynamics of carbon stocks hold significant implications for the regional ecological security landscape and urban sustainable development.
    Methods This study focuses on Mentougou District in Beijing and constructs an SD-PLUS-InVEST multi-model coupling framework to conduct a systematic analysis covering the entire process of “land use-scenario simulation-carbon stock assessment.” Specifically, based on land use data from 2000, 2010, and 2020, a System Dynamics (SD) model was developed and coupled. Scenario simulation parameters were set according to climate change projections and socioeconomic data under different Shared Socioeconomic Pathways and Representative Concentration Pathways (SSP-RCPs) scenarios to simulate land use demands under various scenarios. Second, the PLUS model was used to explicitly simulate future land-use spatial patterns. By establishing a land-use transition matrix and a development probability map, the model allocates macro-level demands to spatial units, thereby ensuring consistency between quantitative and spatial constraints. Finally, the InVEST model was used to calculate the total carbon stock and its spatial distribution for different scenarios. This study aims to elucidate the mechanisms underlying land use evolution during the transition period of mountainous cities and to provide decision-making references for low-carbon development in ecological conservation areas.
    Results The results indicate that: 1) Simulations based on the PLUS model reveal that under different SSP-RCP scenarios, the area of ecologically sensitive farmland decreases significantly, water bodies are obviously regulated by policies, and the expansion pattern of construction land shows substantial spatial heterogeneity.. This phenomenon of spatial displacement reflects the dynamic interplay between economic development needs and ecological conservation within the framework of the “farmland reclamation and compensation” policy. 2) Comparative scenario analysis indicates that the SSP2-4.5 scenario, characterized by moderate development intensity, is most conducive to the coordinated eco-economic development of Mentougou District. Under this scenario, carbon stocks steadily increase from 26.59 Tg in 2020 to 27.05 Tg in 2060, achieving enhanced carbon sequestration under conditions of moderate economic growth and mild climate warming. In contrast, regional carbon stocks under the SSP1-2.6 scenario are lower than those under SSP2-4.5, primarily due to the conversion of some forested land into grasslands with lower carbon density. This highlights the risk of internal functional degradation that mountainous ecological conservation areas may face under strict regulatory frameworks. Under the SSP5-8.5 scenario, urban land expands in a concentrated manner in the eastern Mentougou New Town, with both cropland and urban land encroaching upon high-carbon-density forested areas, leading to a significant decline in carbon stocks. 3) Analysis of land use optimization indicates that maintaining the synergistic effects of forest, grassland, and water bodies is key to increasing carbon stocks. The scale of construction land expansion must be controlled to prevent encroachment on high-carbon-sink forest areas; simultaneously, the layout of cropland should be optimized to avoid the conversion of marginal forest land into low-efficiency cropland. Such adjustments to the land use structure can enhance carbon stocks; 4) Analysis of the transformation and development pathway suggests a three-phase strategy: First, prioritize the ecological restoration of abandoned mining areas such as the Wangping Mine to increase carbon density in the restored zones, while simultaneously developing green industries such as eco-tourism and specialty agriculture; second, establish a spatial system comprising “new cities, characteristic towns, and ecological villages,” leveraging rail transit to achieve intensive development and focusing on the exploitation of abundant natural and rich cultural resources; finally, develop green industries such as eco-tourism to establish a mountainous economic development pathway that integrates high-quality green development in old industrial and mining areas with eco-tourism-driven prosperity for local residents, thereby laying a solid foundation for building a low-carbon city.
    Conclusion This study focuses on Mentougou District in Beijing, a mountainous urban area, and constructs a relatively accurate, comprehensive, and dynamic land-use simulation model. It simulates future land demand quantitatively from a macro, top-down perspective and simulates the spatial patterns of future land use from a micro, bottom-up perspective. The aim is to provide scenario simulations to support the development of future regional spatial planning in the district. It also offers a reference framework and scenario pathways for other mountainous and resource-based cities undergoing transformation to optimize land use and manage carbon sequestration in the context of climate change.

     

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