Affiliation:
1. College of Transport and Communications, Shanghai Maritime University, Shanghai 201306, China
2. College of Ocean Science and Engineering, Shanghai Maritime University, Shanghai 201306, China
3. State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen 361005, China
Abstract
The response of vegetation phenology to urbanization has become a growing concern. As impervious surfaces change as urbanization advances, the variation in vegetation phenology at the dynamic urbanization level was analyzed to significantly quantify the impact of urbanization processes on vegetation phenology. Based on the MOD13Q1 vegetation index product from 2001 to 2020, vegetation phenology parameters, including the start of the growing season (SOS), the end of the growing season (EOS), and the length of the growing season (GSL), were extracted, and the spatial–temporal variation in vegetation phenology, as well as its response to urbanization, was comprehensively analyzed. The results reveal that (1) from 2001 to 2020, the average rates of change for the SOS, EOS, and GSL were 0.41, 0.16, and 0.57 days, respectively. (2) The vegetation phenology changes showed significant spatial–temporal differences at the urbanization level. With each 10% increase in the urbanization level, the SOS and EOS were advanced and delayed by 0.38 and 0.34 days, respectively. (3) The urban thermal environment was a major factor in the impact of urbanization on the SOS and EOS. Overall, this study elucidated the dynamic reflection of urbanization in phenology and revealed the complex effects of urbanization on vegetation phenology, thus helping policymakers to develop effective strategies to improve urban ecological management.
Funder
National Natural Science Foundation of China
Shanghai “Innovation Action Plan” Soft Science Project
MEL Visiting Fellowship
Science and Technology Commission of Shanghai Municipality
Reference48 articles.
1. A review of vegetation phenological metrics extraction using time-series, multispectral satellite data;Zeng;Remote Sens. Environ.,2020
2. Asymmetric effects of daytime and nighttime warming on spring phenology in the temperate grasslands of China;Shen;Agric. For. Meteorol.,2018
3. Temporal and spatial variation of vegetation phenology in temperate China and its impact on gross primary productivity;Wang;Remote Sens. Technol. Appl.,2019
4. Spatiotemporal variation in vegetation spring phenology and its response to climate change in freshwater marshes of Northeast China;Shen;Sci. Total Environ.,2019
5. Singh, N., Singh, S., and Mall, R. (2020). Urban Ecology, Elsevier.
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