Monitoring 2019 Drought and Assessing Its Effects on Vegetation Using Solar-Induced Chlorophyll Fluorescence and Vegetation Indexes in the Middle and Lower Reaches of Yangtze River, China
Monitoring drought precisely and evaluating drought effects quantitatively can establish a scientific foundation for understanding drought. Although solar-induced chlorophyll fluorescence (SIF) can detect the drought stress in advance, the performance of SIF in monitoring drought and assessing droug...
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| Format: | Article |
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MDPI AG
2022-05-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/14/11/2569 |
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| author | Meng Li Ronghao Chu Xiuzhu Sha Pengfei Xie Feng Ni Chao Wang Yuelin Jiang Shuanghe Shen Abu Reza Md. Towfiqul Islam |
| author_facet | Meng Li Ronghao Chu Xiuzhu Sha Pengfei Xie Feng Ni Chao Wang Yuelin Jiang Shuanghe Shen Abu Reza Md. Towfiqul Islam |
| author_sort | Meng Li |
| collection | DOAJ |
| description | Monitoring drought precisely and evaluating drought effects quantitatively can establish a scientific foundation for understanding drought. Although solar-induced chlorophyll fluorescence (SIF) can detect the drought stress in advance, the performance of SIF in monitoring drought and assessing drought-induced gross primary productivity (GPP) losses from lush to senescence remains to be further studied. Taking the 2019 drought in the middle and lower reaches of the Yangtze River (MLRYR) as an example, this study aims to monitor and assess this drought by employing a new global, OCO-2-based SIF (GOSIF) and vegetation indexes (VIs). Results showed that the GPP, GOSIF, and VIs all exhibited significant increasing trends during 2000–2020. GOSIF was most consistent with GPP in spatial distribution and was most correlated with GPP in both annual (linear correlation, R<sup>2</sup> = 0.87) and monthly (polynomial correlation, R<sup>2</sup> = 0.976) time scales by comparing with VIs. During July–December 2019, the precipitation (PPT), soil moisture, and standardized precipitation evapotranspiration index (SPEI) were generally below the averages during 2011–2020 and reached their lowest point in November, while those of air temperature (Tem), land surface temperature (LST), and photosynthetically active radiation (PAR) were the contrary. For drought monitoring, the spatial distributions of standardized anomalies of GOSIF and VIs were consistent during August–October 2019. In November and December, however, considering vegetation has entered the senescence stage, SIF had an obvious early response in vegetation physiological state monitoring compared with VIs, while VIs can better indicate meteorological drought conditions than SIF. For drought assessment, the spatial distribution characteristics of GOSIF and its standardized anomaly were both most consistent with that of GPP, especially the standardized anomaly in November and December. All the above phenomena verified the good spatial consistency between SIF and GPP and the superior ability of SIF in capturing and quantifying drought-induced GPP losses. Results of this study will improve the understanding of the prevention and reduction in agrometeorological disasters and can provide an accurate and timely method for drought monitoring. |
| first_indexed | 2024-03-10T00:55:32Z |
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| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T00:55:32Z |
| publishDate | 2022-05-01 |
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| spelling | doaj.art-330b7fd55cd34b678eee662e35c2da312023-11-23T14:43:50ZengMDPI AGRemote Sensing2072-42922022-05-011411256910.3390/rs14112569Monitoring 2019 Drought and Assessing Its Effects on Vegetation Using Solar-Induced Chlorophyll Fluorescence and Vegetation Indexes in the Middle and Lower Reaches of Yangtze River, ChinaMeng Li0Ronghao Chu1Xiuzhu Sha2Pengfei Xie3Feng Ni4Chao Wang5Yuelin Jiang6Shuanghe Shen7Abu Reza Md. Towfiqul Islam8College of Resources and Environment, Anhui Agricultural University, Hefei 230036, ChinaAnhui Public Meteorological Service Center, Anhui Meteorological Bureau, Hefei 230031, ChinaThe Weather Modification Center of Henan Province, Zhengzhou 450003, ChinaCollege of Resources and Environment, Anhui Agricultural University, Hefei 230036, ChinaCollege of Resources and Environment, Anhui Agricultural University, Hefei 230036, ChinaCollege of Resources and Environment, Anhui Agricultural University, Hefei 230036, ChinaCollege of Resources and Environment, Anhui Agricultural University, Hefei 230036, ChinaKey Laboratory of Meteorological Disaster, Ministry of Education (KLME), Joint International Research Laboratory of Climate and Environment Change (ILCEC), Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Jiangsu Key Laboratory of Agricultural Meteorology, College of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing 210044, ChinaDepartment of Disaster Management, Begum Rokeya University, Rangpur 5400, BangladeshMonitoring drought precisely and evaluating drought effects quantitatively can establish a scientific foundation for understanding drought. Although solar-induced chlorophyll fluorescence (SIF) can detect the drought stress in advance, the performance of SIF in monitoring drought and assessing drought-induced gross primary productivity (GPP) losses from lush to senescence remains to be further studied. Taking the 2019 drought in the middle and lower reaches of the Yangtze River (MLRYR) as an example, this study aims to monitor and assess this drought by employing a new global, OCO-2-based SIF (GOSIF) and vegetation indexes (VIs). Results showed that the GPP, GOSIF, and VIs all exhibited significant increasing trends during 2000–2020. GOSIF was most consistent with GPP in spatial distribution and was most correlated with GPP in both annual (linear correlation, R<sup>2</sup> = 0.87) and monthly (polynomial correlation, R<sup>2</sup> = 0.976) time scales by comparing with VIs. During July–December 2019, the precipitation (PPT), soil moisture, and standardized precipitation evapotranspiration index (SPEI) were generally below the averages during 2011–2020 and reached their lowest point in November, while those of air temperature (Tem), land surface temperature (LST), and photosynthetically active radiation (PAR) were the contrary. For drought monitoring, the spatial distributions of standardized anomalies of GOSIF and VIs were consistent during August–October 2019. In November and December, however, considering vegetation has entered the senescence stage, SIF had an obvious early response in vegetation physiological state monitoring compared with VIs, while VIs can better indicate meteorological drought conditions than SIF. For drought assessment, the spatial distribution characteristics of GOSIF and its standardized anomaly were both most consistent with that of GPP, especially the standardized anomaly in November and December. All the above phenomena verified the good spatial consistency between SIF and GPP and the superior ability of SIF in capturing and quantifying drought-induced GPP losses. Results of this study will improve the understanding of the prevention and reduction in agrometeorological disasters and can provide an accurate and timely method for drought monitoring.https://www.mdpi.com/2072-4292/14/11/2569the middle and lower reaches of Yangtze Riverdroughtsolar-induced chlorophyll fluorescencevegetation indexesgross primary productivity |
| spellingShingle | Meng Li Ronghao Chu Xiuzhu Sha Pengfei Xie Feng Ni Chao Wang Yuelin Jiang Shuanghe Shen Abu Reza Md. Towfiqul Islam Monitoring 2019 Drought and Assessing Its Effects on Vegetation Using Solar-Induced Chlorophyll Fluorescence and Vegetation Indexes in the Middle and Lower Reaches of Yangtze River, China Remote Sensing the middle and lower reaches of Yangtze River drought solar-induced chlorophyll fluorescence vegetation indexes gross primary productivity |
| title | Monitoring 2019 Drought and Assessing Its Effects on Vegetation Using Solar-Induced Chlorophyll Fluorescence and Vegetation Indexes in the Middle and Lower Reaches of Yangtze River, China |
| title_full | Monitoring 2019 Drought and Assessing Its Effects on Vegetation Using Solar-Induced Chlorophyll Fluorescence and Vegetation Indexes in the Middle and Lower Reaches of Yangtze River, China |
| title_fullStr | Monitoring 2019 Drought and Assessing Its Effects on Vegetation Using Solar-Induced Chlorophyll Fluorescence and Vegetation Indexes in the Middle and Lower Reaches of Yangtze River, China |
| title_full_unstemmed | Monitoring 2019 Drought and Assessing Its Effects on Vegetation Using Solar-Induced Chlorophyll Fluorescence and Vegetation Indexes in the Middle and Lower Reaches of Yangtze River, China |
| title_short | Monitoring 2019 Drought and Assessing Its Effects on Vegetation Using Solar-Induced Chlorophyll Fluorescence and Vegetation Indexes in the Middle and Lower Reaches of Yangtze River, China |
| title_sort | monitoring 2019 drought and assessing its effects on vegetation using solar induced chlorophyll fluorescence and vegetation indexes in the middle and lower reaches of yangtze river china |
| topic | the middle and lower reaches of Yangtze River drought solar-induced chlorophyll fluorescence vegetation indexes gross primary productivity |
| url | https://www.mdpi.com/2072-4292/14/11/2569 |
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