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    土地利用情景对北京市生态系统服务价值及景观生态风险的影响

    Impacts of land use scenarios on ecosystem service value and landscape ecological risk in Beijing

    • 摘要:
      目的 为应对气候变化和生态环境退化压力,将碳中和目标融入土地利用多目标优化,量化评估不同发展情景对生态系统服务价值和景观生态风险的影响,以支持区域生态安全格局优化与可持续发展决策。
      方法 本研究以北京市为例,基于2000—2020年社会经济和土地利用数据,综合经济、生态、碳排放和碳储存指标构建土地利用优化模型,设置4种未来情景(自然发展、经济发展、经济生态平衡发展和低碳绿色发展),分析2030年各情景下生态系统服务价值与景观生态风险的空间布局变化,并比较情景间两者响应关系的差异。
      结果 整体生态系统服务价值的提升和景观生态风险的降低是各情景的共同变化。低碳绿色发展情景中总生态价值增幅最高,为896 639.170 × 104元,整体风险降低幅度最大,较高及高风险总占比为1.280%。在规划目标的介入下,生态系统服务价值与景观生态风险的负相关性增强,在低碳绿色发展情景中,生态系统服务价值与景观生态风险协同关系的减弱幅度较高,高价值−低风险区的占比增加至22.652%。综合所有情景,收缩建设空间并促进蓝绿空间的扩张和联通是缓解区域生态保护压力的重要举措。
      结论 经土地结构优化,区域内生态价值与生态风险的权衡关系有所增强,但仍存在小型风险区的新增。低碳绿色发展情景表明区域生态系统的管理,应积极采取多层级相协调的保护和开发模式。

       

      Abstract:
      Objective To address the challenges of climate change and ecological degradation, this paper integrates carbon neutrality targets into multi-objective land use optimization, quantifies the impacts of different development scenarios on ecosystem service value and landscape ecological risk to support regional ecological security pattern optimization and sustainable development decision-making.
      Method Taking Beijing as a case study, this study utilized socio-economic and land use data from 2000 to 2020 to construct a land use optimization model incorporating economic, ecological, carbon emission, and carbon storage indicators. Four future scenarios were set (natural development, economic development, economic-ecological balanced development, and low-carbon green development) to analyze the spatial distribution changes of ecosystem service values and landscape ecological risks under each scenario by 2030, and to compare the differences in their response relationships across scenarios.
      Result Overall increases in ecosystem service values and reductions in landscape ecological risks represent common trends across all scenarios. The low-carbon green development scenario exhibited the highest increase in total ecological value, reaching 8.97 billion RMB, the overall risk reduction was the largest, with a total proportion of 1.280% being high and higher risk. With planning intervention, the negative correlation between ecosystem service values and landscape ecological risks was strengthened. In the low-carbon green development scenario, the synergistic relationship between ecosystem service values and landscape ecological risks showed significant weakening, with high value-low risk zones increasing to 22.652%. Across all scenarios, constraining construction space while promoting the expansion and connectivity of blue-green infrastructure emerged as a crucial measure for alleviating regional ecological protection pressures.
      Conclusion After land structure optimization, the trade-off between ecological values and ecological risks within the region have been strengthened, though new small-scale risk zones have emerged. The low-carbon green development scenario indicates that regional ecosystem management should actively adopt a multi-level coordinated protection and development approaches.

       

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