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Quantifying the influences of various ecological factors on land surface temperature of urban forests
Ren Y.; Deng, L. Y.; Zuo, S. D.; Song, X. D.; Liao, Y. L.; Xu, C. D.; Chen, Q.; Hua, L. Z.; Li, Z. W.
Source PublicationEnvironmental Pollution
2016
Volume216
Pages519-529
KeywordUrban forest Land surface temperature (LST) Spatial statistical analysis GeogDetector model Multiple ecological factors Driving mechanism Integrated quantitative analysis heat-island macrosystems ecology landscape gradient china statistics indicators vegetation hotspots coastal
AbstractIdentifying 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.
Indexed BySCI
Language英语
ISSN0269-7491
DOI10.1016/j.envpol.2016.06.004
Citation statistics
Document TypeSCI/SSCI论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/43180
Collection历年回溯文献
Recommended Citation
GB/T 7714
Ren Y.,Deng, L. Y.,Zuo, S. D.,et al. Quantifying the influences of various ecological factors on land surface temperature of urban forests. 2016.
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