| 摘要: |
| 当前，快速的城市化建设导致绿色空间萎缩和生态系统退化等一系列生态环境问题，在城市边缘区建设“绿化隔离地区”是有效引导城绿合理布局并满足首都生态环境保护需求的重要手段。以北京市第二道绿化隔离地区为例，综合应用多源大数据，结合Fragstats模型、CASA模型和InVEST模型评估区域的景观多样性和生态系统支持服务的时空演变特征，并利用GWR模型探究二者间的驱动和反馈机制。研究表明：2003—2018年间二道绿隔地区景观多样性呈减少态势，支持服务呈现一定的圈层式空间分布变化特征，且生态系统提供的支持服务对于景观多样性的驱动作用远大于景观多样性变化对支持服务的影响。应用多源大数据和空间分析模型定量评估二道绿隔地区的景观多样性和生态系统支持服务时空变化特征，并结合空间回归模型探究二者间的相互作用机制；有助于科学识别生态系统支持服务与景观多样性的强关联区域，可为后续绿化隔离地区的规划建设和各类政策的制定提供科学指导。 |
| 关键词: 风景园林 多源数据 北京市第二道绿化隔离地区 景观与服务 关联机制 |
| DOI：10.14085/j.fjyl.2021.08.0100.06 |
| 分类号:TU986 |
| 基金项目:中央高校基本科研业务费专项资金（编号 BLX202001）；国家自然科学基金（编号 31670704）；北 京市自然科学基金（编号 8194071）；教育部人文社科基金（编号 19YJC760042） |
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| Research on Relationship Between Ecosystem Support Services and Landscape Diversity in the Second Green Belt Area of Beijing Based on Multi-source Data |
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GE Yunyu, LI Xiong
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Beijing Forestry University
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| Abstract: |
| At present, the rapid urbanization construction has led to a series of ecological environment problems, such as green space shrinkage and ecosystem degradation. The construction of “green belt area” in the urban fringe is an important means to effectively guide the rational layout of urban greening and meet the needs of the capital in ecological and environmental protection. Taking the second green belt area of Beijing as an example, this research applies the Fragstats model, CASA model, InVEST model and multi-source big data to evaluate the spatial and temporal evolution characteristics of regional landscape pattern diversity index and ecosystem support services. It also adopts the GWR model to explore the driving and feedback mechanisms between the two. The results demonstrate a decreasing trend of the landscape diversity of the second green belt area from 2003 to 2018. The support services displayed certain characteristics of circle spatial distribution changes. Besides, the driving effect of the support services provided by the ecosystem on the landscape diversity is far greater than the impact of the changes of landscape diversity on the support services. The innovation of the research lies in the application of multi-source big data and spatial analysis model to quantitatively evaluate the spatial-temporal variation characteristics of landscape diversity and ecosystem support services in the second green belt area, and the exploration of the interaction mechanism between them combined with the spatial regression model. This research is conducive to scientifically identify the areas with strong correlation between ecosystem support services and landscape diversity, and could provide scientific guidance for the planning and construction of the subsequent green belt areas and the promulgation of various policies. |
| Key words: landscape architecture multi-source data the second green belt area of Beijing landscape and services correlated mechanism |
