Title Exploring the Combined Effect of Urbanization and Climate Variability on Urban Vegetation: A Multi-Perspective Study Based on More than 3000 Cities in China
Authors Liang, Ze
Wang, Yueyao
Sun, Fuyue
Jiang, Hong
Huang, Jiao
Shen, Jiashu
Wei, Feili
Li, Shuangcheng
Affiliation Peking Univ, Coll Urban & Environm Sci, Beijing 100871, Peoples R China
Peking Univ, Key Lab Earth Surface Proc, Minist Educ, Beijing 100871, Peoples R China
Peking Univ, Sch Urban Planning & Design, Shenzhen Grad Sch, Shenzhen 518055, Peoples R China
Keywords PEARL RIVER DELTA
NIGHTTIME LIGHT
MONITORING URBANIZATION
ENERGY-CONSUMPTION
TIME-SERIES
AIR-QUALITY
DYNAMICS
GROWTH
FORM
EMISSIONS
Issue Date 2-Apr-2020
Publisher REMOTE SENSING
Abstract More than 3000 cities in China were used to study the effect of urbanization and local climate variability on urban vegetation across different geographical and urbanization conditions. The national scale estimation shows that China's urban vegetation depicts a trend of degradation from 2000 to 2015, especially in developed areas such as the Yangtze River Delta. According to the panel models, the increase of precipitation (PREC), solar radiation (SRAD), air temperature (TEMP), and specific humidity (SHUM) all enhance urban vegetation, while nighttime light intensity (NLI), population density (POPDEN), and fractal dimension (FRAC) do the opposite. The effects change along the East-West gradient; the influences of PREC and SHUM become greater, while those of TEMP, SRAD, NLI, AREA, and FRAC become smaller. PREC, SHUM, and SRAD play the most important roles in Northeast, Central, and North China, respectively. The role of FRAC and NLI in East China is much greater than in other regions. POPDEN remains influential across all altitudes, while FRAC affects only low-altitude cities. NLI plays a greater role in larger cities, while FRAC and POPDEN are the opposite. In cities outside of the five major urban agglomerations, PREC has a great influence while the key factors are more diversified inside.
URI http://hdl.handle.net/20.500.11897/589142
DOI 10.3390/rs12081328
Indexed SSCI
Scopus
EI
Appears in Collections: 城市与环境学院
地表过程分析与模拟教育部重点实验室
城市规划与设计学院

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