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Title	Detecting The Tipping Point Between Heat Source And Sink Landscapes To Mitigate Urban Heat Island Effects
ID_Doc	19222
Authors	Liu T.; Ouyang S.; Gou M.; Tang H.; Liu Y.; Chen L.; Lei P.; Zhao Z.; Xu C.; Xiang W.
Year	2023
Published	Urban Ecosystems, 26, 1
DOI	http://dx.doi.org/10.1007/s11252-022-01294-9
Abstract	The process of rapid urbanization in China has led to various impacts on the urban ecological environment and one of these significant effects is the urban heat island (UHI). Pursuing the construction of a ecological city is recognized as an important direction to relieve the contradictions between environmental protection and city development. Yet how the landcape configuation and composition in such city development influences the UHI has not been well understood. This paper attempted to evaluate the spatial patterning of land surface temperature (LST) and to discuss the effects of source and sink landscape patterns upon LST in a smart city demonstrated at the local level in China. The results revealed that the UHI was spatially associated with the land use changes driven by rapid urbanization and gradually declines along the urban–rural gradient. When the urban–rural gradient reached the range of 7.5 to 8.75 km from the city center, there exhibited a tipping point where the combinative effects of source and sink landscapes on UHI significantly decreased. Through exploring the impact of source-sink landscape area ratio on UHI, we also found a tipping point that when source-sink area ratio in a patch was smaller than the golden separation value (1.30), UHI effect was almost mitigated because the warming effect of source area would be weaker than the cooling effect of sink area. Overall, this study highlights that controlling the optimal area ratio of source-sink landscape are very important strategy for mitigating the UHI effect during urban development and planning. © 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
Author Keywords	Land surface temperature; Landscape pattern; Source–sink landscape; Tipping point; Urban–rural gradient

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