中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Long-Term Spatiotemporal Relationship of Urban-Rural Gradient Between Land Surface Temperature and Nighttime Light in Representative Cities Across China's Climate Zones

文献类型:期刊论文

作者Liang, Juanzhu2; Li, Wenfang2; Zhou, Yuke3; Han, Xueyang2; Li, Daqing1
刊名REMOTE SENSING
出版日期2025-10-30
卷号17期号:21页码:3585
关键词land surface temperature nighttime light urban-rural gradient climatic context coupling relationships
DOI10.3390/rs17213585
产权排序2
文献子类Article
英文摘要Highlights What are the main findings? Nighttime light rose more rapidly than land surface temperature, with the strongest light-heat coupling in suburban zones and pronounced spatial heterogeneity across climate zones. Light-heat relationships exhibited a distance-decay pattern, showing synchronized increases in eastern coastal cities but decoupling in plateau and arid regions. What are the implications of the main findings? The results highlight the need for climate-specific adaptation strategies that consider local climatic and geographic contexts. The study provides a systematic quantification of urban-rural light-heat interactions across multiple climate zones, revealing spatial patterns previously underexplored.Highlights What are the main findings? Nighttime light rose more rapidly than land surface temperature, with the strongest light-heat coupling in suburban zones and pronounced spatial heterogeneity across climate zones. Light-heat relationships exhibited a distance-decay pattern, showing synchronized increases in eastern coastal cities but decoupling in plateau and arid regions. What are the implications of the main findings? The results highlight the need for climate-specific adaptation strategies that consider local climatic and geographic contexts. The study provides a systematic quantification of urban-rural light-heat interactions across multiple climate zones, revealing spatial patterns previously underexplored.Abstract In the context of rapid urbanization, human activities have profoundly transformed urban thermal environments. However, most existing studies have focused on single cities or relatively uniform climatic contexts, and the long-term dynamics between land surface temperature (LST) and nighttime light (NTL) across urban-rural gradients in diverse climates remain insufficiently explored. This gap limits a systematic understanding of how human activities and thermal environments co-evolve under varying regional conditions. To address this gap, we selected ten representative cities spanning multiple climate zones in China. Using MODIS LST and NTL datasets from 2000 to 2020, we developed an urban-rural gradient analysis framework to systematically assess the spatiotemporal response patterns and coupling mechanisms between LST and NTL. Our findings reveal the following: (1) From 2000 to 2020, NTL exhibited a pronounced upward trend across all climate zones, most notably in the marginal tropical humid region, while LST changes were relatively moderate. (2) LST and NTL displayed power-law distributions along urban-rural transects, marked by steep declines in monocentric cities and gradual transitions in polycentric cities, with sharper thermal gradients in northern and inland areas and more gradual transitions in southern and coastal regions. (3) The long-term increase in NTL was most evident in suburban areas (0.94 nW/cm2/sr/a), surpassing that in urban cores (0.68 nW/cm2/sr/a) and rural zones (0.60 nW/cm2/sr/a), with inland cities (0.84 nW/cm2/sr/a) outpacing their coastal counterparts. Although LST changes were modest, suburban warming (0.16 +/- 0.08 degrees C/a) was over twice that of urban and rural areas. Notably, the synergistic escalation of light and heat was most pronounced in tropical and subtropical cities. (4) Eastern coastal cities exhibited strongly synchronized rises in NTL and LST, whereas cities in the plateau, temperate semi-arid, and mid-temperate arid regions showed clear decoupling. Along urban-rural gradients, NTL-LST correlations generally weakened from urban centers to peripheries, yet coupling coordination peaked in fringe areas (mean = 0.63), underscoring pronounced spatial heterogeneity. This study advances our understanding of the spatiotemporal coupling of urban light and heat under varying climatic and urbanization contexts, offering critical insights into managing urban thermal environments.
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WOS关键词HEAT-ISLAND INTENSITY ; DYNAMICS ; URBANIZATION ; PATTERNS ; TERRAIN
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:001613126600001
出版者MDPI
源URL[http://ir.igsnrr.ac.cn/handle/311030/217680]  
专题生态系统网络观测与模拟院重点实验室_外文论文
通讯作者Zhou, Yuke
作者单位1.Changsha Ecol & Environm Monitoring Ctr Hunan Prov, Changsha 410001, Peoples R China
2.Fuzhou Univ, Acad Digital China, Fuzhou 350002, Peoples R China;
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China;
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Liang, Juanzhu,Li, Wenfang,Zhou, Yuke,et al. Long-Term Spatiotemporal Relationship of Urban-Rural Gradient Between Land Surface Temperature and Nighttime Light in Representative Cities Across China's Climate Zones[J]. REMOTE SENSING,2025,17(21):3585.
APA Liang, Juanzhu,Li, Wenfang,Zhou, Yuke,Han, Xueyang,&Li, Daqing.(2025).Long-Term Spatiotemporal Relationship of Urban-Rural Gradient Between Land Surface Temperature and Nighttime Light in Representative Cities Across China's Climate Zones.REMOTE SENSING,17(21),3585.
MLA Liang, Juanzhu,et al."Long-Term Spatiotemporal Relationship of Urban-Rural Gradient Between Land Surface Temperature and Nighttime Light in Representative Cities Across China's Climate Zones".REMOTE SENSING 17.21(2025):3585.

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来源:地理科学与资源研究所

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