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Article

Quantification of Urban Heat Island-Induced Contribution to Advance in Spring Phenology: A Case Study in Hangzhou, China

1
Hydrology and Water Resources College, Hohai University, Nanjing 211100, China
2
Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, International Institute for Earth System Science, Nanjing University, Nanjing 210023, China
3
National Earth System Science Data Center, National Science & Technology Infrastructure of China, Beijing 100101, China
4
Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2021, 13(18), 3684; https://doi.org/10.3390/rs13183684
Submission received: 11 August 2021 / Revised: 10 September 2021 / Accepted: 13 September 2021 / Published: 15 September 2021
(This article belongs to the Special Issue Remote Sensing of Land Surface Phenology)

Abstract

Plant phenology is one of the key regulators of ecosystem processes, which are sensitive to environmental change. The acceleration of urbanization in recent years has produced substantial impacts on vegetation phenology over urban areas, such as the local warming induced by the urban heat island effect. However, quantitative contributions of the difference of land surface temperature (LST) between urban and rural (ΔLST) and other factors to the difference of spring phenology (i.e., the start of growing season, SOS) between urban and rural (ΔSOS) were rarely reported. Therefore, the objective of this study is to explore impacts of urbanization on SOS and distinguish corresponding contributions. Using Hangzhou, a typical subtropical metropolis, as the study area, vegetation index-based phenology data (MCD12Q2 and MYD13Q1 EVI) and land surface temperature data (MYD11A2 LST) from 2006–2018 were adopted to analyze the urban–rural gradient in phenology characteristics through buffers. Furthermore, we exploratively quantified the contributions of the ΔLST to the ΔSOS based on a temperature contribution separation model. We found that there was a negative coupling between SOS and LST in over 90% of the vegetated areas in Hangzhou. At the sample-point scale, SOS was weakly, but significantly, negatively correlated with LST at the daytime (R2 = 0.2 and p < 0.01 in rural; R2 = 0.14 and p < 0.05 in urban) rather than that at nighttime. Besides, the ΔSOS dominated by the ΔLST contributed more than 70% of the total ΔSOS. We hope this study could help to deepen the understanding of responses of urban ecosystem to intensive human activities.
Keywords: plant phenology; land surface temperature; urban heat island effect; contribution; Hangzhou plant phenology; land surface temperature; urban heat island effect; contribution; Hangzhou
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MDPI and ACS Style

Ji, Y.; Jin, J.; Zhan, W.; Guo, F.; Yan, T. Quantification of Urban Heat Island-Induced Contribution to Advance in Spring Phenology: A Case Study in Hangzhou, China. Remote Sens. 2021, 13, 3684. https://doi.org/10.3390/rs13183684

AMA Style

Ji Y, Jin J, Zhan W, Guo F, Yan T. Quantification of Urban Heat Island-Induced Contribution to Advance in Spring Phenology: A Case Study in Hangzhou, China. Remote Sensing. 2021; 13(18):3684. https://doi.org/10.3390/rs13183684

Chicago/Turabian Style

Ji, Yingying, Jiaxin Jin, Wenfeng Zhan, Fengsheng Guo, and Tao Yan. 2021. "Quantification of Urban Heat Island-Induced Contribution to Advance in Spring Phenology: A Case Study in Hangzhou, China" Remote Sensing 13, no. 18: 3684. https://doi.org/10.3390/rs13183684

APA Style

Ji, Y., Jin, J., Zhan, W., Guo, F., & Yan, T. (2021). Quantification of Urban Heat Island-Induced Contribution to Advance in Spring Phenology: A Case Study in Hangzhou, China. Remote Sensing, 13(18), 3684. https://doi.org/10.3390/rs13183684

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