![]() Urban Ecosystems 11:409–422Įrica O, Jeremy L, Brad B, Reid RC, Hitesh D, Nigel D, Stuart G, Manfred KO, Liu KKY, Rowe B (2007) Green roofs as urban ecosystems: ecological structures, functions, and services. Build Environ 136:227–239Ĭurrie BA, Bass B (2008) Estimates of air pollution mitigation with green plants and green roofs using the UFORE model. J Anim Ecol 86:521–531Ĭascone S, Catania F, Gagliano A, Sciuto G (2018) A comprehensive study on green roof performance for retrofitting existing buildings. Ecology (durham) 95:1010–1021īraaker S, Obrist MK, Ghazoul J, Moretti M (2017) Habitat connectivity and local conditions shape taxonomic and functional diversity of arthropods on green roofs. Ecol Eng 36:351–360īraaker S, Ghazoul J, Obrist MK, Moretti M (2014) Habitat connectivity shapes urban arthropod communities: the key role of green roofs. J Insect Conserv 16:331–343īerndtsson JC (2010) Green roof performance towards management of runoff water quantity and quality: A review. These results can be used to guide and promote the construction of green roofs in Nanjing, and the developed comprehensive framework to identify the building roofs for greening is also broadly applicable and can be used for other cities.īanaszak-Cibicka W, Żmihorski M (2012) Wild bees along an urban gradient: winners and losers. ![]() The order of priority installing green roofs is spatial heterogeneous, and the area of high-priority level to install GRs is 629.93hm 2. ![]() The results showed that the total potential suitable area for roof greening is 2879.62hm 2, which accounts for 46.60% of all building roofs. protected area for historical and cultural heritage, and then a comprehensive framework for assessing roof greening priority was proposed by integrating the building attributes and the socio-ecological demands. height and roof slope, and the other-limited attributes e.g. The suitable buildings for roof greening in the central city of Nanjing, China were first specified on account of the building age and physical structure attributes e.g. In this paper, with the support of the LiDAR 3D point clouds, high-resolution satellite image and socio-economic data, we proposed a systematic approach to identify and prioritize the building roofs for greening by integrating the roof physical structure attributes and socio-ecological demands on the GRs. The multiple benefits of green roofs (GRs) for people and biodiversity conservation in a highly urbanized area are widely confirmed, however, how to identify the right building roofs in a built-up city from the perspective of socio-ecological demands to apply greening is still lacking.
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