Global Assessment of Cumulative and Time-Lag Effects of Drought on Land Surface Phenology

作者：Ronglei Zhou, Yangyang Liu, Mengying Cui, Jinxin Lu, Haijing Shi, Hanyu Ren, Wei Zhang, Zhongming Wen · 发表于：GIScience & Remote Sensing · 年份：2022 · DOI：10.1080/15481603.2022.2143661 · 被引用次数：29 · 研究领域：Remote Sensing in Agriculture、Plant Water Relations and Carbon Dynamics、Climate variability and models

Increased frequency and intensity of droughts under climate change will have a significant impact on land surface phenology, however, the drought-phenology interactions that are associated with complex temporal effects are not well understood. This study examined the response of land surface phenology to drought cumulative and time-lag effects by using the standardized precipitation and evapotranspiration index (SPEI) and explored the influence of hydrothermal and plant physiological factors on the phenology-drought relationship. We used the maximum correlation (rmax-cml) between phenology and cumulative SPEI (1- to 12-month) to determine the cumulative effect. The maximum correlation (rmax-lag) between phenology and lagged SPEI (1-month) was utilized to analyze the time-lag effect. Overall, the cumulative effect affected 25.36% of the vegetated area at the start of the growing season (SOS), 26.43% of the end of the growing season (EOS), and 26.57% of the length of the growing season (LOS). SOS was negatively affected by long-term SPEI, whereas EOS and LOS had positive correlations with short-term SPEI. The rmax-cml for shrubland was the largest, and the SOS and LOS response time scales of the forest were the shortest. The rmax-cml was larger in arid and semi-arid (AR and SAR) than in humid and semi-humid (HU and SHU). Meanwhile, the response time scales were longer in HU and SHU than in AR and SAR. The time-lag effect had a larger area of impact on land surface phenology tha...