Chen, Yuan; Lin, Meixia; Lin, Tao; Zhang, Junmao; Jones, Laurence
ORCID: https://orcid.org/0000-0002-4379-9006; Yao, Xia; Geng, Hongkai; Liu, Yuqin; Zhang, Guoqin; Cao, Xin; Ye, Hong; Zhan, Yulin.
2023
Spatial heterogeneity of vegetation phenology caused by urbanization in China based on remote sensing.
Ecological Indicators, 153, 110448.
10, pp.
10.1016/j.ecolind.2023.110448
Abstract
Vegetation phenology changes caused by urbanization could lead to shifts in ecosystem services in urban areas
and impact on human health. The characteristics of urbanization affect vegetation phenology need to be
emphasized, especially in China with a complex natural environment and rapid urbanization background. In this
study, we used remote sensing-based phenological data (MODIS MCD12Q2) to analyze the spatial heterogeneity
of vegetation phenology caused by urbanization between urban and non-urban areas in 320 cities across China.
We found a significant difference between vegetation phenology in urban and its corresponding non-urban area
at national and the regional scale. For national scale, the start of the growing season (SOS) was significantly
advanced by 2.53 days (P < 0.001), and the end of the growing season (EOS) was significantly delayed by 6.72
days (P < 0.001), resulting in the growing season length (GSL) was significantly extended by 9.25 days (P <
0.001). For regional scale, the changes of SOS, EOS, and GSL caused by urbanization varied from seven vegetation
zones in China. As expected for the Tropical monsoon rain forest and rain forest zone (TR) and Tibetan
plateau alpine vegetation zone (TP), and Warm-temperate broadleaf deciduous forest zone (WTB), vegetation
phenology in other four vegetation zones shows significant differences between urban and non-urban areas.
Furthermore, the potential factors driving phenological changes through urbanization were discussed, which will
be of great help in understanding the urban ecological process in future studies.
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535113:200375
N535113JA.pdf
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Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0.
Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0.
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