Chunli Wang , Kaiyuan Li , Wenfeng Zhan , Long Li , Chenguang Wang , Shasha Wang , Sida Jiang , Shuang Ge , Zihan Liu
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引用次数: 0
Abstract
Understanding how cooling efficiency (CE) trends of tree covers respond to background climate change and local urbanization is essential for optimizing urban greening strategies. However, previous studies have largely focused on city-wide CE trends, often with a limited number of cities or with limited geographic scope. Consequently, the spatial heterogeneity in CE trends across urban–rural gradients, and their underlying drivers remain poorly understood, especially across cities worldwide. Here we quantified summer daytime CE trends from 2003 to 2020 across six urban–rural gradients (i.e., urban cores, new towns, urban fringes, suburbs, rural fringes, and rural backgrounds) in more than 5,000 global cities, utilizing MODIS-derived land surface temperature and tree cover data. We observed an inverse-V shape in CE trends along urban–rural gradient, with peak values in urban fringes (0.10 ± 0.01 °C/%/century, mean ± one standard error), followed by new towns, cores, and three rural gradients. The trends in CE were generally positive across most climate zones, yet arid regions exhibited a decline (−0.06 ± 0.06 °C/%/century). CE trends strengthened with increasing city size in urban fringes, yet they decreased in cores and new towns. Using a LightGBM-SHAP algorithm, we found that the macro-scale background climate dominated the CE trends in urban areas (43%), whereas micro-scale local surface properties emerged as the primary contributors in rural areas (48%). Our findings provide critical insights into the spatial heterogeneity of CE trends of urban tree covers at a global scale.
期刊介绍:
The ISPRS Journal of Photogrammetry and Remote Sensing (P&RS) serves as the official journal of the International Society for Photogrammetry and Remote Sensing (ISPRS). It acts as a platform for scientists and professionals worldwide who are involved in various disciplines that utilize photogrammetry, remote sensing, spatial information systems, computer vision, and related fields. The journal aims to facilitate communication and dissemination of advancements in these disciplines, while also acting as a comprehensive source of reference and archive.
P&RS endeavors to publish high-quality, peer-reviewed research papers that are preferably original and have not been published before. These papers can cover scientific/research, technological development, or application/practical aspects. Additionally, the journal welcomes papers that are based on presentations from ISPRS meetings, as long as they are considered significant contributions to the aforementioned fields.
In particular, P&RS encourages the submission of papers that are of broad scientific interest, showcase innovative applications (especially in emerging fields), have an interdisciplinary focus, discuss topics that have received limited attention in P&RS or related journals, or explore new directions in scientific or professional realms. It is preferred that theoretical papers include practical applications, while papers focusing on systems and applications should include a theoretical background.