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Chinese Journal of Applied Ecology ›› 2025, Vol. 36 ›› Issue (3): 693-702.doi: 10.13287/j.1001-9332.202503.022

• Special Features of Urban Climate and Urban Design (Special Feature Organizer: HE Baojie) • Previous Articles     Next Articles

Changes of remote sensing vegetation phenology in Beijing-Tianjin-Hebei region under the background of urbanization

HUA Yiwei1,2,3,4, MENG Dan1,2,3,4*, HU Feifan1,2,3,4, ZHAO Yue1,2,3,4, ZHANG Congcong5, LI Xiaojuan1,2,3,4   

  1. 1College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China;
    2Beijing Laboratory of Water Resource Security, Beijing 100048, China;
    3State Key Laboratory Incubation Base of Urban Environmental Processes and Digital Simulation, Beijing 100048, China;
    4Beijing Municipal Key Laboratory of Resource Environment and Geographic Information System, Beijing 100048, China;
    5Baoding Natural Resources and Municipal Planning Bureau, Baoding 071000, Hebei, China
  • Received:2024-08-15 Accepted:2024-12-31 Online:2025-03-18 Published:2025-05-15

Abstract: Urban environments face numerous challenges, including an increase in impervious surfaces, intensification of heat island effect, and severe air pollution, which all affect urban vegetation phenology. We reconstructed the time series of MOD13Q1 enhanced vegetation index data for the Beijing-Tianjin-Hebei region during 2002-2021, extracted the vegetation phenology index based on the dynamic threshold method, and examined the dyna-mics of vegetation phenology under a urbanization gradient. The results showed that the start of growing season (SOS) occurred earlier in the southeastern region of Beijing-Tianjin-Hebei, the end of growing season (EOS) was later in the central and southwestern regions, and the growing season length (GSL) was extended in the central and southeastern regions. SOS had been advanced and EOS had been delayed in most areas of Beijing-Tianjin-Hebei, leading to a significant extension of the GSL. The phenological trends were generally consistent across different vegetation types, with specific manifestations varied. The advance in SOS was most pronounced in farmland. The delay in EOS was greatest in forests. The extension of GSL was most substantial in farmland. During 2002-2021, for every 10% increase in the proportion of impervious surface percentage (ISP), SOS advanced by 1.28 day, EOS was delayed by 1.33 day, and GSL was extended by 2.2 days. With increasing ISP, land surface temperature initially rose but stabilized once it exceeded 40%. As land surface temperature increased, SOS first advanced and then delayed (with an inflection point at 23 ℃), while EOS first delayed and then advanced (with an inflection point at 20 ℃). We speculated that the result was related to the coupling of light and temperature periods. The response degree of vegetation phenology under dynamic urbanization gradient showed significant differences. Surface temperature played an important role in driving the urban-rural phenological difference.

Key words: vegetation phenology, enhanced vegetation index, urbanization gradient, land surface temperature