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 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
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利用光致叶绿素荧光和植被指数监测中国长江中下游2019年干旱并评估其对植被的影响
DOI：
10.3390/rs14112569
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发表时间：
2022-05
期刊：
影响因子：
5
通讯作者：
Abu Reza Md. Towfiqul Islam
中科院分区：
文献类型：
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作者：
Meng Li;Ronghao Chu;Xiuzhu Sha;Pengfei Xie;Feng Ni;Chao Wang;Yuelin Jiang;Shuanghe Shen;Abu Reza Md. Towfiqul Islam
精准监测干旱、定量评估干旱影响，可以为认识干旱奠定科学基础。虽然太阳诱导的叶绿素荧光（SIF）可以提前检测干旱胁迫，但SIF在监测干旱和评估干旱引起的从茂盛到衰老的总初级生产力（GPP）损失方面的性能仍有待进一步研究。以2019年长江中下游干旱（MLRYR）为例，本研究旨在通过采用基于OCO-2的新的全球SIF（GOSIF）和植被指数（VI）来监测和评估此次干旱。结果显示，2000-2020年期间GPP、GOSIF和VI均呈现显着增长趋势。通过与 VI 比较，GOSIF 在空间分布上与 GPP 最为一致，并且在年度（线性相关，R2 = 0.87）和月度（多项式相关，R2 = 0.976）时间尺度上与 GPP 相关性最强。 2019年7月至12月，降水量（PPT）、土壤湿度和标准化降水蒸散指数（SPEI）普遍低于2011年至2020年的平均值，并于11月达到最低点，而气温（Tem）、地表温度（LST）和光合有效辐射（PAR）则相反。对于干旱监测，2019年8月-10月GOSIF和VIs标准化距平空间分布一致。但11月和12月，考虑到植被已进入衰老阶段，SIF在植被生理状态监测方面比VIs具有明显的早期响应，而VIs比SIF更能反映气象干旱状况。干旱评估方面，GOSIF的空间分布特征及其标准化距平与GPP最为一致，尤其是11月和12月的标准化距平。上述现象都验证了SIF和GPP之间良好的空间一致性以及SIF在捕捉和量化干旱引起的GPP损失方面的优越能力。本研究结果将提高人们对农业气象灾害防减减灾的认识，为干旱监测提供准确、及时的方法。
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, R2 = 0.87) and monthly (polynomial correlation, R2 = 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.
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影响因子：
9.8
作者：
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影响因子：
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影响因子：
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作者：
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影响因子：
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作者：
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Papale, Dario
DOI：
10.11834/jrs.20197485
发表时间：
2019
期刊：
National Remote Sensing Bulletin
影响因子：
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通讯作者：
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