The divergent response of vegetation phenology to urbanization: A case study of Beijing city, China

被引:43
|
作者
Zhang, Yehua [1 ]
Yin, Peiyi [1 ]
Li, Xuecao [1 ,2 ]
Niu, Quandi [1 ]
Wang, Yixuan [1 ]
Cao, Wenting [3 ]
Huang, Jianxi [1 ,2 ]
Chen, Han [4 ]
Yao, Xiaochuang [1 ,2 ]
Yu, Le [5 ]
Li, Baoguo [1 ]
机构
[1] China Agr Univ, Coll Land Sci & Technol, Beijing 100083, Peoples R China
[2] Minist Agr & Rural Affairs, Key Lab Remote Sensing Agrihazards, Beijing 100083, Peoples R China
[3] Minist Nat Resources, State Key Lab Satellite Ocean Environm Dynam, Inst Oceanog 2, Hangzhou 310012, Peoples R China
[4] Swiss Reinsurance Co Ltd, Beijing Branch, Beijing 100022, Peoples R China
[5] Tsinghua Univ, Dept Earth Syst Sci, Beijing 100084, Peoples R China
关键词
Impervious surface area; Time series; Phenology change; Urban heat island; LAND-SURFACE PHENOLOGY; CLIMATE-CHANGE; SPRING PHENOLOGY; URBAN; DYNAMICS; TEMPERATURE; SATELLITE; DATASET; SYSTEMS; INDEX;
D O I
10.1016/j.scitotenv.2021.150079
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Characterizing the relationship between vegetation phenology and urbanization indicators is essential to understand the impacts of human activities on urban ecosystems. In this study, we explored the response of vegetation phenology to urbanization in Beijing (China) during 2001-2018, using impervious surface area (ISA) and the information of urban-rural gradients (i.e., concentric rings from the urban core to surrounding rural areas) as the urbanization indicators. We found the change rates of vegetation phenology in urban areas are 1.3 and 1.1 days per year for start of season (SOS) and end of season (EOS), respectively, about three times faster than that in forest. Moreover, we found a divergent response of SOS with the increase of ISA, which differs from previous results with advanced SOS in the urban environment than surrounding rural areas. This might be attributed to the mixed land cover types and the thermal environment caused by the urban heat island in the urban environment. Similarly, a divergent pattern of phenological indicators along the urban-rural gradient shows a nonlinear response of vegetation phenology to urbanization. These findings provide new insights into the complicated interactions between vegetation phenology and urban environments. High-resolution weather data are required to support process-based vegetation phenology models in the future, particularly under different global urbanization and climate change scenarios. (c) 2021 Elsevier B.V. All rights reserved.
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页数:9
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