Quantifying the influences of various ecological factors on land surface temperature of urban forests
文献类型：期刊论文
| 作者 | Ren, Yin1,2; Deng, Lu-Ying1,3; Zuo, Shu-Di1,2; Song, Xiao-Dong4; Liao, Yi-Lan5; Xu, Cheng-Dong5; Chen, Qi6; Hua, Li-Zhong7; Li, Zheng-Wei8 |
| 刊名 | Environmental pollution
 |
| 出版日期 | 2016-09-01 |
| 卷号 | 216页码:519-529 |
| 关键词 | Urban forest Land surface temperature (lst) Spatial statistical analysis Geogdetector model Multiple ecological factors Driving mechanism Integrated quantitative analysis |
| ISSN号 | 0269-7491 |
| DOI | 10.1016/j.envpol.2016.06.004 |
| 通讯作者 | Ren, yin(yren@iue.ac.cn) |
| 英文摘要 | Identifying factors that influence the land surface temperature (lst) of urban forests can help improve simulations and predictions of spatial patterns of urban cool islands. this requires a quantitative analytical method that combines spatial statistical analysis with multi-source observational data. the purpose of this study was to reveal how human activities and ecological factors jointly influence lst in clustering regions (hot or cool spots) of urban forests. using xiamen city, china from 1996 to 2006 as a case study, we explored the interactions between human activities and ecological factors, as well as their influences on urban forest lst. population density was selected as a proxy for human activity. we integrated multi-source data (forest inventory, digital elevation models (dm), population, and remote sensing imagery) to develop a database on a unified urban scale. the driving mechanism of urban forest lst was revealed through a combination of multi-source spatial data and spatial statistical analysis of clustering regions. the results showed that the main factors contributing to urban forest lst were dominant tree species and elevation. the interactions between human activity and specific ecological factors linearly or nonlinearly increased lst in urban forests. strong interactions between elevation and dominant species were generally observed and were prevalent in either hot or cold spots areas in different years. in conclusion, quantitative studies based on spatial statistics and geogdetector models should be conducted in urban areas to reveal interactions between human activities, ecological factors, and lst. (c) 2016 elsevier ltd. all rights reserved. |
| WOS关键词 | HEAT-ISLAND ; MACROSYSTEMS ECOLOGY ; LANDSCAPE ; GRADIENT ; CHINA ; STATISTICS ; INDICATORS ; VEGETATION ; HOTSPOTS ; COASTAL |
| WOS研究方向 | Environmental Sciences & Ecology |
| WOS类目 | Environmental Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:000383930500055 |
| 出版者 | ELSEVIER SCI LTD |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2375819 |
| 专题 | 中国科学院大学 |
| 通讯作者 | Ren, Yin |
| 作者单位 | 1.Chinese Acad Sci, Inst Urban Environm, Key Lab Urban Metab Xiamen, Key Lab Urban Environm & Hlth, Xiamen 361021, Peoples R China 2.Chinese Acad Sci, Ningbo Urban Environm Observat & Res Stat NUEORS, Ningbo 315800, Zhejiang, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Zhejiang Univ, Coll Environm & Nat Resources, Hangzhou 310058, Zhejiang, Peoples R China 5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 6.Univ Hawaii Manoa, Dept Geog, Honolulu, HI 96822 USA 7.Xiamen Univ Technol, Dept Spatial Informat Sci & Engn, Xiamen 361024, Peoples R China 8.China United Network Commun Grp Co Ltd, Nanjing 210000, Jiangsu, Peoples R China |
| 推荐引用方式 GB/T 7714 | Ren, Yin,Deng, Lu-Ying,Zuo, Shu-Di,et al. Quantifying the influences of various ecological factors on land surface temperature of urban forests[J]. Environmental pollution,2016,216:519-529. |
| APA | Ren, Yin.,Deng, Lu-Ying.,Zuo, Shu-Di.,Song, Xiao-Dong.,Liao, Yi-Lan.,...&Li, Zheng-Wei.(2016).Quantifying the influences of various ecological factors on land surface temperature of urban forests.Environmental pollution,216,519-529. |
| MLA | Ren, Yin,et al."Quantifying the influences of various ecological factors on land surface temperature of urban forests".Environmental pollution 216(2016):519-529. |
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来源：中国科学院大学
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