Integrating the third dimension into the concept of urban ecosystem services: A review

被引:27
|
作者
Alavipanah, Sadroddin [1 ]
Haase, Dagmar [1 ,2 ]
Lakes, Tobia [1 ]
Qureshi, Salman [1 ,3 ]
机构
[1] Humboldt Univ, Dept Geog, Rudower Chaussee 16, D-12557 Berlin, Germany
[2] UFZ, Helmholtz Ctr Environm Res, Dept Computat Landscape Ecol, D-04318 Leipzig, Germany
[3] Birmingham City Univ, Sch Architecture, Parkside Bldg,5 Cardigan St, Birmingham B4 7BD, W Midlands, England
关键词
Third dimension; Cities; Urban ecosystem services; Review; GREEN SPACE; HEAT-ISLAND; CITY; ENVIRONMENTS; MODELS; DESIGN; CITIES; AREAS; LIDAR; FORM;
D O I
10.1016/j.ecolind.2016.08.010
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
The spatial configuration of urban environments and its impact on local and global ecological functions were the subject of recent urban ecosystem service (UES) research projects. The outcomes of these projects with respect to the data they used, however, mainly consisted of two dimensions (2D). Studies that assess aspects of the third dimension (3D) of UES - such as height, volume and shadowing effects - were absent. The objective of this paper is to contribute to a better understanding of the local ecological functions based on knowledge of three-dimensional UES. 298 articles were selected for in-depth critical analyses. The technical and computational approaches for extracting urban 3D structures and 3D structures of vegetation were the focus of the reviewed literature. Authors' affiliations would be a better indicator for assessing the spatial distribution of articles. Uneven distribution of knowledge among countries is related to the technical and scientific advancement of countries. There was a shift in the subtheme of reviewed publications discussing the concept of ecosystem services in the first few years, while later researchers' interests moved towards UES and adaptation of cities to the changing climate. Further studies should progress in the development of both 3D data and results. Implementing 3D data and results helps to better understand the coupling of humans and their environs. It will be then a critically important step toward developing ecologically friendly cities. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:374 / 398
页数:25
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