Department of Urban Planning, College of Architecture and Urban Planning, Tongji University, No. 1239 Siping Rd., Shanghai 200092, China.
Department of Landscape Architecture, College of Architecture and Urban Planning, Tongji University, No. 1239 Siping Rd., Shanghai 200092, China; Joint Laboratory of Ecological Urban Design (Research Centre for Land Ecological Planning, Design and Environmental Effects, International Joint Research Centre of Urban-Rural Ecological Planning and Design), College of Architecture and Urban Planning, Tongji University, No. 1239 Siping Rd., Shanghai 200092, China.
Sci Total Environ. 2021 Dec 1;798:149330. doi: 10.1016/j.scitotenv.2021.149330. Epub 2021 Jul 29.
Co-urbanized areas around large cities in developing countries face the problem of spatial disconnection between supply and demand areas of ecosystem services (ES). To explore the reflection of human needs in the nonadjacent surrounding natural spaces and identify the response of the existing natural space system to the ES demand in terms of total amount and spatial distribution, a new method for ES demand mapping in co-urbanized areas was proposed. Based on the theory of the ES delivery chain, urban built-up areas are identified as service benefiting areas (SBAs) and the sources where demands are generated, natural spaces are regarded as service provision areas (SPAs) and the sinks and destinations where demands are satisfied, and ES spatial flow is considered as the delivery mechanism and ecological process that promotes the demand flow from sources to sinks. An indicator cluster composed of four multidimensional indicators, including flow quantity, flow boundary, flow direction and allocation mode along the distance, was used to characterize the spatial flow and represent the four key links in the technical path of allocating ES demand from built-up areas to natural spaces with spatial flow to intuitively reflect the spatial characteristics of human social demands projected in them. We quantified and mapped the distribution of three ES demands in built-up areas and surrounding natural spaces. In the former, the high-demand spaces are concentrated in the areas with high population density or high aging degree; while in the latter, the high-demand spaces are mainly adjacent to the built-up areas or the large-scale natural spaces. By controlling the flow quantity, expanding the flow area, increasing the flow directions and improving the ES supply capacity of SPAs within a given distance, the high ES demands in the above spaces can be effectively regulated.
发展中国家大城市周边的城乡交错区面临着生态系统服务(ES)供需空间不匹配的问题。为了探索人类需求在非相邻周边自然空间中的反映,以及现有自然空间系统在总量和空间分布方面对 ES 需求的响应,提出了一种城乡交错区 ES 需求制图的新方法。基于 ES 传递链理论,城市建成区被确定为受益服务区(SBAs)和需求产生的源区,自然空间被视为服务提供区(SPAs)和需求满足的汇区和目的地,ES 空间流被视为促进需求从源区到汇区流动的传递机制和生态过程。一个由四个多维指标组成的指标群,包括流量、流量边界、沿距离的流动方向和分配模式,用于刻画空间流,并代表 ES 需求从建成区分配到具有空间流的自然空间的技术路径中的四个关键环节,直观地反映了投射在其中的人类社会需求的空间特征。我们对建成区和周边自然空间中的三种 ES 需求的分布进行了量化和制图。在前者中,高需求空间集中在人口密度或老龄化程度较高的区域;而在后者中,高需求空间主要分布在建成区或大规模自然空间的周边。通过控制流量、扩大流量区域、增加流量方向和提高给定距离内 SPA 的 ES 供应能力,可以有效地调节上述空间的高 ES 需求。