2 June 2021 Analysis of asymmetry in diurnal warming and its impact on vegetation phenology in the Qinghai-Tibetan Plateau using MODIS remote sensing data
Qingjiang Du, Guihua Yi, Xiaobing Zhou, Tingbin Zhang, Jingji Li, Huijun Xie, Jiao Hu
Author Affiliations +
Abstract

Because of its high altitude, the Qinghai-Tibetan Plateau (QTP) serves as a de facto ecological barrier between China and Southeast Asia. Studying the phenological characteristics of vegetation on QTP and their response to climate change can help us to understand how climate change can impact on highland terrestrial ecosystems and how to improve predicting highland vegetation phenology. Using long-term NDVI data we derived from the MODIS spectral reflectance product (MOD09A1) and in situ climate data in QTP, we investigated (1) the trends of temporal and spatial variations in the phenological characteristics of the highland vegetation, such as the start of growing season (SOS), middle time of growing season (MOS), end of growing season (EOS), and length of growing season (LEN), and (2) the responses of SOS, MOS, and EOS to asymmetry in diurnal warming, i.e., asymmetry in the preseason daily daytime maximum temperature (Tmax) and daily nighttime minimum temperature (Tmin). Results showed that (1) the vegetation phenology in QTP displayed a salient zonal distribution pattern. From the northwest to the southeast, the vegetation SOS and MOS gradually advanced, EOS decreased, and LEN extended; (2) Tmin warmed up faster than Tmax, which indicated that daytime warming and nighttime warming were asymmetrical; (3) the increase in preseason Tmax and that in preseason Tmin played different roles in SOS, MOS, and EOS; and (4) the preseason Tmin showed a stronger control on vegetation phenology than the preseason Tmax. For instance, a 1°C increase in preseason Tmin advanced SOS by 7.07d (p  <  0.05) and MOS by 6.80d (p  <  0.05), and delayed EOS by 6.70d (p  <  0.05). While a 1°C increase in preseason Tmax delayed the SOS, MOS, and EOS by 5.12d, 4.84d, and 1.04d, respectively.

© 2021 Society of Photo-Optical Instrumentation Engineers (SPIE) 1931-3195/2021/$28.00 © 2021 SPIE
Qingjiang Du, Guihua Yi, Xiaobing Zhou, Tingbin Zhang, Jingji Li, Huijun Xie, and Jiao Hu "Analysis of asymmetry in diurnal warming and its impact on vegetation phenology in the Qinghai-Tibetan Plateau using MODIS remote sensing data," Journal of Applied Remote Sensing 15(2), 028502 (2 June 2021). https://doi.org/10.1117/1.JRS.15.028502
Received: 28 November 2020; Accepted: 18 May 2021; Published: 2 June 2021
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Cited by 4 scholarly publications.
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KEYWORDS
Vegetation

Molybdenum

Climate change

Climatology

Temperature metrology

Remote sensing

Environmental sensing

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