Influence of landscape features on urban land surface temperature: Scale and neighborhood effects
文献类型：期刊论文
| 作者 | Shi, Yi; Liu, Shuguang; Yan, Wende; Zhao, Shuqing; Ning, Ying; Peng, Xi; Chen, Wei; Chen, Liding; Hu, Xijun; Fu, Bojie
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| 刊名 | SCIENCE OF THE TOTAL ENVIRONMENT
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| 出版日期 | 2021-06-01 |
| 卷号 | 771页码:- |
| 关键词 | Urban heat island Neighbor landscape features Scale dependence Landscape composition Ridge regression |
| ISSN号 | 0048-9697 |
| 英文摘要 | Higher land surface temperature (LST) in cities than its surrounding areas presents a major sustainability challenge for cities. Adaptation and mitigation of the increased LST require in-depth understanding of the impacts of landscape features on LST. We studied the influences of different landscape features on LST in five large cities across China to investigate how the features of a specific urban landscape (endogenous features), and neighboring environments (exogenous features) impact its LST across a continuum of spatial scales. Surprisingly, results show that the influence of endogenous landscape features (E-endo) on LST can be described consistently across all cities as a nonlinear function of grain size (g(s)) and neighbor size (n(s)) (E-endo = beta n(s)g(s)(-0.5), where beta is a city-specific constant) while the influence of exogenous features (E-exo) depends only on neighbor size (n(s)) (E-exo = gamma-epsilon n(s)(0.5), where gamma and epsilon are city-specific constants). In addition, a simple relationship describing the relative strength of endogenous and exogenous impacts of landscape features on LST was found (E-endo > E-exo if ns > kg(s)(2/5), where k is a city-specific parameter; otherwise, E-endo < E-exo). Overall, vegetation alleviates 40%-60% of the warming effect of built-up while surface wetness intensifies or reduces it depending on climate conditions. This study reveals a set of unifying quantitative relationships that effectively describes landscape impacts on LST across cities, grain and neighbor sizes, which can be instrumental towards the design of sustainable cities to deal with increasing temperature. (C) 2021 Elsevier B.V. All rights reserved. |
| WOS研究方向 | Environmental Sciences |
| 源URL | [http://ir.rcees.ac.cn/handle/311016/45490]  |
| 专题 | 生态环境研究中心_城市与区域生态国家重点实验室 |
| 作者单位 | 1.Cent South Univ Forestry & Technol, Coll Life Sci & Technol, Natl Engn Lab Appl Technol Forestry & Ecol South, Changsha 410004, Peoples R China 2.Peking Univ, Beijing 100871, Peoples R China 3.Chinese Acad Sci, Ctr Ecol Res, Beijing 100085, Peoples R China 4.Cent South Univ Forestry & Technol, Coll Landscape Architecture, Changsha 410004, Peoples R China 5.Oregon State Univ, Geog Environm Sci & Marine Resource Management, Corvallis, OR 97331 USA 6.Hunan Forest Bot Garden, Changsha 410116, Peoples R China |
| 推荐引用方式 GB/T 7714 | Shi, Yi,Liu, Shuguang,Yan, Wende,et al. Influence of landscape features on urban land surface temperature: Scale and neighborhood effects[J]. SCIENCE OF THE TOTAL ENVIRONMENT,2021,771:-. |
| APA | Shi, Yi.,Liu, Shuguang.,Yan, Wende.,Zhao, Shuqing.,Ning, Ying.,...&Zhu, Yu.(2021).Influence of landscape features on urban land surface temperature: Scale and neighborhood effects.SCIENCE OF THE TOTAL ENVIRONMENT,771,-. |
| MLA | Shi, Yi,et al."Influence of landscape features on urban land surface temperature: Scale and neighborhood effects".SCIENCE OF THE TOTAL ENVIRONMENT 771(2021):-. |
入库方式： OAI收割
来源：生态环境研究中心
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