Response of NDVI and SIF to Meteorological Drought in the Yellow River Basin from 2001 to 2020
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–Sen median trend analysis, Mann–Kend...
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MDPI AG
2022-09-01
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| Online Access: | https://www.mdpi.com/2073-4441/14/19/2978 |
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| author | Jie Li Mengfei Xi Ziwu Pan Zhenzhen Liu Zhilin He Fen Qin |
| author_facet | Jie Li Mengfei Xi Ziwu Pan Zhenzhen Liu Zhilin He Fen Qin |
| author_sort | Jie Li |
| collection | DOAJ |
| description | 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–Sen median trend analysis, Mann–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 (<i>p</i> < 0.001) at the rate of 0.496 × 10<sup>−2</sup> and 0.345 × 10<sup>−2</sup>, respectively. The significant improvement area of SIF (66.49%, <i>p</i> < 0.05) is higher than NDVI (50.7%, <i>p</i> < 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 > 0, <i>p</i> < 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, <i>p</i> < 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. |
| first_indexed | 2024-03-09T20:59:15Z |
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| language | English |
| last_indexed | 2024-03-09T20:59:15Z |
| publishDate | 2022-09-01 |
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| record_format | Article |
| series | Water |
| spelling | doaj.art-4e3706386da141ce84bae6bd98ee5a852023-11-23T22:13:42ZengMDPI AGWater2073-44412022-09-011419297810.3390/w14192978Response of NDVI and SIF to Meteorological Drought in the Yellow River Basin from 2001 to 2020Jie Li0Mengfei Xi1Ziwu Pan2Zhenzhen Liu3Zhilin He4Fen Qin5Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, Henan University, Kaifeng 475004, ChinaKey Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, Henan University, Kaifeng 475004, ChinaKey Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, Henan University, Kaifeng 475004, ChinaKey Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, Henan University, Kaifeng 475004, ChinaKey Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, Henan University, Kaifeng 475004, ChinaKey Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions, Ministry of Education, Henan University, Kaifeng 475004, ChinaUnderstanding 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–Sen median trend analysis, Mann–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 (<i>p</i> < 0.001) at the rate of 0.496 × 10<sup>−2</sup> and 0.345 × 10<sup>−2</sup>, respectively. The significant improvement area of SIF (66.49%, <i>p</i> < 0.05) is higher than NDVI (50.7%, <i>p</i> < 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 > 0, <i>p</i> < 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, <i>p</i> < 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.https://www.mdpi.com/2073-4441/14/19/2978NDVISIFmeteorological droughtcorrelation analysisYellow River Basin |
| spellingShingle | 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 Water NDVI SIF meteorological drought correlation analysis Yellow River Basin |
| title | Response of NDVI and SIF to Meteorological Drought in the Yellow River Basin from 2001 to 2020 |
| title_full | Response of NDVI and SIF to Meteorological Drought in the Yellow River Basin from 2001 to 2020 |
| title_fullStr | Response of NDVI and SIF to Meteorological Drought in the Yellow River Basin from 2001 to 2020 |
| title_full_unstemmed | Response of NDVI and SIF to Meteorological Drought in the Yellow River Basin from 2001 to 2020 |
| title_short | Response of NDVI and SIF to Meteorological Drought in the Yellow River Basin from 2001 to 2020 |
| title_sort | response of ndvi and sif to meteorological drought in the yellow river basin from 2001 to 2020 |
| topic | NDVI SIF meteorological drought correlation analysis Yellow River Basin |
| url | https://www.mdpi.com/2073-4441/14/19/2978 |
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