Mapping Urban Green Infrastructure: A Novel Landscape-Based Approach to Incorporating Land Use and Land Cover in the Mapping of Human-Dominated Systems

被引:64
|
作者
Dennis, Matthew [1 ]
Barlow, David [2 ]
Cavan, Gina [3 ]
Cook, Penny A. [4 ]
Gilchrist, Anna [1 ]
Handley, John [1 ]
James, Philip [5 ]
Thompson, Jessica [6 ]
Tzoulas, Konstantinos [3 ]
Wheater, C. Philip [3 ]
Lindley, Sarah [1 ]
机构
[1] Univ Manchester, Sch Environm Educ & Dev, Oxford Rd, Manchester M13 9PL, Lancs, England
[2] Manchester City Council, Manchester Town Hall,Albert Sq, Manchester M60 2LA, Lancs, England
[3] Manchester Metropolitan Univ, Sch Sci & Environm, Oxford Rd, Manchester M15 6BH, Lancs, England
[4] Univ Salford, Sch Hlth Sci, Manchester M5 4WT, Lancs, England
[5] Univ Salford, Sch Environm & Life Sci, Manchester M5 4WT, Lancs, England
[6] City Trees, 6 Kansas Ave, Salford M50 2GL, Lancs, England
基金
英国自然环境研究理事会; 英国经济与社会研究理事会; 英国艺术与人文研究理事会;
关键词
health and well-being; GIS; remote sensing; urban ecosystems; social-ecological systems; ECOSYSTEM SERVICES; ENVIRONMENTAL JUSTICE; PUBLIC-HEALTH; SPACE; MORPHOLOGY; QUALITY; GARDENS; CITIES; CLASSIFICATIONS; BIODIVERSITY;
D O I
10.3390/land7010017
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Common approaches tomapping green infrastructure in urbanised landscapes invariably focus on measures of land use or land cover and associated functional or physical traits. However, such onedimensional perspectives do not accurately capture the character and complexity of the landscapes in which urban inhabitants live. The new approach presented in this paper demonstrates how open-source, high spatial and temporal resolution data with global coverage can be used tomeasure and represent the landscape qualities of urban environments. Through going beyond simple metrics of quantity, such as percentage green and blue cover, it is now possible to explore the extent to which landscape quality helps to unpick the mixed evidence presented in the literature on the benefits of urban nature to human well-being. Here we present a landscape approach, employing remote sensing, GIS and data reduction techniques to map urban green infrastructure elements in a large U.K. city region. Comparison with existing urban datasets demonstrates considerable improvement in terms of coverage and thematic detail. The characterisation of landscapes, using census tracts as spatial units, and subsequent exploration of associations with social-ecological attributes highlights the further detail that can be uncovered by the approach. For example, eight urban landscape types identified for the case study city exhibited associations with distinct socioeconomic conditions accountable not only to quantities but also qualities of green and blue space. The identification of individual landscape features through simultaneous measures of land use and land cover demonstrated unique and significant associations between the former and indicators of human health and ecological condition. The approach may therefore provide a promising basis for developing further insight into processes and characteristics that affect human health and well-being in urban areas, both in the United Kingdom and beyond.
引用
收藏
页数:25
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