| Title | Influence of landscape features on urban land surface temperature: Scale and neighborhood effects |
| Authors | Shi, Yi Liu, Shuguang Yan, Wende Zhao, Shuqing Ning, Ying Peng, Xi Chen, Wei Chen, Liding Hu, Xijun Fu, Bojie Kennedy, Robert Lv, Yihe Liao, Juyang Peng, Chunliang Rosa, Isabel M. D. Roy, David Shen, Shouyun Smith, Andy Wang, Cheng Wang, Zhao Xiao, Li Xiao, Jingfeng Yang, Lu Yuan, Wenping Yi, Min Zhang, Hankui Zhao, Meifang Zhu, Yu |
| Affiliation | Cent South Univ Forestry & Technol, Coll Life Sci & Technol, Natl Engn Lab Appl Technol Forestry & Ecol South, Changsha 410004, Peoples R China Peking Univ, Beijing 100871, Peoples R China Chinese Acad Sci, Ctr Ecol Res, Beijing 100085, Peoples R China Cent South Univ Forestry & Technol, Coll Landscape Architecture, Changsha 410004, Peoples R China Oregon State Univ, Geog Environm Sci & Marine Resource Management, Corvallis, OR 97331 USA Hunan Forest Bot Garden, Changsha 410116, Peoples R China Bangor Univ, Sch Nat Sci, Gwynedd LL57 2UM, Wales Michigan State Univ, Dept Geog Environm Spatial Sci, E Lansing, MI 48824 USA Chinese Acad Forestry, Beijing 100091, Peoples R China Univ New Hampshire, Earth Syst Res Ctr, Inst Study Earth Oceans, Durham, NH 03824 USA Sun Yat Sen Univ, Sch Atmospher Sci, Guangdong Prov Key Lab Climate Change & Nat Disas, Zhuhai Key Lab DynamicsUrbanClimate & Ecol, Zhuhai 510245, Peoples R China Ecol & Environm Dept Hunan Prov, Changsha 410014, Peoples R China South Dakota State Univ, Geospatial Sci Ctr Excellence, Dept Geog & Geospatial Sci, Brookings, SD 57007 USA |
| Issue Date | 1-Jun-2021 |
| Publisher | SCIENCE OF THE TOTAL ENVIRONMENT |
| Abstract | 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. |
| URI | http://hdl.handle.net/20.500.11897/611212 |
| ISSN | 0048-9697 |
| DOI | 10.1016/j.scitotenv.2021.145381 |
| Indexed | SCI(E) SSCI |
| Appears in Collections: | 待认领 |
