Response of NDVI and SIF to Meteorological Drought in the Yellow River Basin from 2001 to 2020

Jie Li; Mengfei Xi; Ziwu Pan; Zhenzhen Liu; Zhilin He; Fen Qin

Response of NDVI and SIF to Meteorological Drought in the Yellow River Basin from 2001 to 2020

Jie Li; Mengfei Xi; Ziwu Pan; Zhenzhen Liu; Zhilin He; Fen Qin

Understanding the response of vegetation to drought is of great significance to the biodiversity protection of terrestrial ecosystem. Based on the MOD13A2 NDVI, GOSIF, and SPEI data of the Yellow River Basin from 2001 to 2020, this paper used the methods of Theil&ndash:Sen median trend analysis, Mann&ndash:Kendall significance test, and Pearson correlation analysis to analyze whether the vegetation change trends monitored by MODIS and GOSIF are consistent and their sensitivity to meteorological drought. The results showed that NDVI and SIF increased significantly (p &lt: 0.001) at the rate of 0.496 &times: 10&minus:2 and 0.345 &times: 10&minus:2, respectively. The significant improvement area of SIF (66.49%, p &lt: 0.05) is higher than NDVI (50.7%, p &lt: 0.05), and the spatial distribution trend of vegetation growth monitored by NDVI and SIF is consistent. The negative value of SPEI-12 accounts for 65.83%, with obvious periodic changes. The significant positive correlation areas of SIF-SPEI in spring, summer, and autumn (R &gt: 0, p &lt: 0.05) were 7.00%, 28.49%, and 2.28% respectively, which were higher than the significant positive correlation areas of NDVI-SPEI (spring: 1.79%: summer: 20.72%: autumn: 1.13%). SIF responded more strongly to SPEI in summer, and farmland SIF was significantly correlated with SPEI (0.3424, p &lt: 0.01). The results indicate that SIF is more responsive to drought than NDVI. Analyzing the response of vegetation to meteorological drought can provide constructive reference for ecological protection.

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