Response of vegetation phenology to hydrothermal variables on the QTP using EVI and MSAVI
Zhijian Zhao, Hui Lin, Li Wang, Min Huang, Lei Wu, Linling Tang, Tao Yang, Xin Xiao
TL;DR
This study explores how vegetation on the Qinghai-Tibet Plateau responds to changes in temperature, moisture, and albedo using satellite data.
Contribution
The study introduces alternative hydrothermal variables (LST, effective moisture, and albedo) to better understand vegetation phenology on the QTP.
Findings
Land surface temperature (LST) is the primary driver of vegetation phenology on the QTP.
Effective moisture significantly regulates the start of the growing season (SOS) on the QTP.
Surface albedo reflects human activities and shows vegetation improvement will exceed degradation in the future.
Abstract
Vegetation phenology is a key indicator of how the Qinghai-Tibet plateau (QTP) ecosystem responds to changes in the hydrothermal environment. However, sparse QTP meteorological stations make observed traditional hydrothermal variables (air temperature and precipitation) insufficient for research needs. Building upon analyses of vegetation phenology using enhanced vegetation index and modified soil-adjusted vegetation index, this study adopts alternative hydrothermal variables (land surface temperature [LST], effective moisture and surface albedo). Geodetector and partial correlation analysis were employed to reveal the response mechanisms between vegetation phenology and hydrothermal variables. Results indicate that the length of the growing season (LOS) is primarily driven by the end of the growing season (EOS). From 2001 to 2020, EOS showed a significant positive correlation with LST.…
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Taxonomy
TopicsPlant Water Relations and Carbon Dynamics · Remote Sensing in Agriculture · Urban Heat Island Mitigation