Response of Gross Primary Productivity to Different Types of Drought across Various Spatial and Temporal Scales from 1982 to 2018
Ling Xiaolu
Li Chenggang
Niu Xiaorui
Liu Wenhao
Zhou Zitong
Abstract：To describe the evolution characteristics of different types of drought and accurately estimate their impact on ecosystems,based on methods such as Mann-Kendall and Pearson correlation coefficients,using the gross primary productivity(GPP)dataset from 1982 to 2018 and concurrent drought indices at different time scales(including scPDSI,SPEI,and SPI),a quantitative assessment was conducted on the response mechanism of the GPP of vegetation in China to different spatiotemporal scales of drought types.The results show that the most significant trend of drought intensification in China is in Inner Mongolia,with the regional averaged scPDSI,SPEI,and SPI declining at an annual rate of 0.039,0.026,and 0.004,respectively.Further analysis indicates that there are significant differences in the correlation and lag effects between GPP and monthly drought indices in various regions of China.The response to the agricultural drought index is most pronounced in the East China and South China regions,with an average lag time of 4 to 6 months.In contrast,the Inner Mongolia,Northwest,and Southwest regions have a more intense response to meteorological drought,with an average lag time of 9 to 11 months,while the Central and East China regions have a shorter response cycle to meteorological drought,only 0 to 3 months.
Keywords：gross primary productivitymeteorological droughtagricultural droughttime-lag effectcumulative effectremote sensingclimatology
Publication Date：2025-09-30
Online Publishing Date：2025-10-15(First online date of this platform, not the publication date of the document)
Pages：17( 3340-3356 )