Divergent Sensitivities of Spaceborne Solar-Induced Chlorophyll Fluorescence to Drought among Different Seasons and Regions

被引:14
作者
Sun, Xiaofang [1 ,2 ]
Wang, Meng [1 ]
Li, Guicai [3 ]
Wang, Junbang [2 ]
Fan, Zemeng [2 ]
机构
[1] Qufu Normal Univ, Sch Geog & Tourism, Rizhao 276800, Peoples R China
[2] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
[3] China Meteorol Adm, Natl Satellite Meteorol Ctr, Beijing 100081, Peoples R China
基金
中国国家自然科学基金;
关键词
solar-induced fluorescence; drought; temperate and alpine grassland; SOIL-MOISTURE; VEGETATION; CHINA; PRODUCTIVITY; IMPACTS; INSIGHTS; CLIMATE; GROWTH;
D O I
10.3390/ijgi9090542
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
As a newly emerging satellite form of data, solar-induced chlorophyll fluorescence (SIF) provides a direct measurement of photosynthetic activity. The potential of SIF for drought assessment in different grassland ecosystems is not yet clear. In this study, the correlations between spaceborne SIF and nine drought indices were evaluated. Standardized precipitation evapotranspiration index (SPEI) at a 1, 3, 6, 9, 12 month scale, Palmer drought severity index (PDSI), soil moisture, temperature condition index (TCI), and vapor pressure deficit (VPD) were evaluated. The relationships between different grassland types and different seasons were compared, and the driving forces affecting the sensitivity of SIF to drought were explored. We found that the correlations between SIF and drought indices were different for temperate grasslands and alpine grasslands. The correlation coefficients between SIF and soil moisture were the highest (the mean value was 0.72 for temperate grasslands and 0.69 for alpine grasslands), followed by SPEI and PDSI at a three month scale, and the correlation coefficient between SIF and TCI was the lowest (the mean value was 0.38 for both temperate and alpine grasslands). Spaceborne SIF is more effective for drought monitoring during the peak period of the growing season (July and August). Temperature and radiation are important factors affecting the sensitivity of SIF to drought. The results from this study demonstrated the importance of SIF in drought monitoring especially for temperate grasslands in the peak growing season.
引用
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页数:17
相关论文
共 63 条
[1]   Probability assessment of vegetation vulnerability to drought based on remote sensing data [J].
Alamdarloo, Esmail Heydari ;
Manesh, Maliheh Behrang ;
Khosravi, Hassan .
ENVIRONMENTAL MONITORING AND ASSESSMENT, 2018, 190 (12)
[2]   Canopy near-infrared reflectance and terrestrial photosynthesis [J].
Badgley, Grayson ;
Field, Christopher B. ;
Berry, Joseph A. .
SCIENCE ADVANCES, 2017, 3 (03)
[3]   Sensitivity analysis of vegetation indices to drought over two tallgrass prairie sites [J].
Bajgain, Rajen ;
Xiao, Xiangming ;
Wagle, Pradeep ;
Basara, Jeffrey ;
Zhou, Yuting .
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2015, 108 :151-160
[4]   Random forests [J].
Breiman, L .
MACHINE LEARNING, 2001, 45 (01) :5-32
[5]  
Buis A., GEOCARB NEW VIEW CAR
[6]   Assessment of MODIS-derived indices (2001-2013) to drought across Taiwan's forests [J].
Chang, Chung-Te ;
Wang, Hsueh-Ching ;
Huang, Cho-ying .
INTERNATIONAL JOURNAL OF BIOMETEOROLOGY, 2018, 62 (05) :809-822
[7]   The impacts of climate change and human activities on biogeochemical cycles on the Qinghai-Tibetan Plateau [J].
Chen, Huai ;
Zhu, Qiuan ;
Peng, Changhui ;
Wu, Ning ;
Wang, Yanfen ;
Fang, Xiuqing ;
Gao, Yongheng ;
Zhu, Dan ;
Yang, Gang ;
Tian, Jianqing ;
Kang, Xiaoming ;
Piao, Shilong ;
Ouyang, Hua ;
Xiang, Wenhua ;
Luo, Zhibin ;
Jiang, Hong ;
Song, Xingzhang ;
Zhang, Yao ;
Yu, Guirui ;
Zhao, Xinquan ;
Gong, Peng ;
Yao, Tandong ;
Wu, Jianghua .
GLOBAL CHANGE BIOLOGY, 2013, 19 (10) :2940-2955
[8]   Drought detection and assessment with solar-induced chlorophyll fluorescence in summer maize growth period over North China Plain [J].
Chen, Xuejuan ;
Mo, Xingguo ;
Zhang, Yucui ;
Sun, Zhigang ;
Liu, Yi ;
Hu, Shi ;
Liu, Suxia .
ECOLOGICAL INDICATORS, 2019, 104 :347-356
[9]   Drought under global warming: a review [J].
Dai, Aiguo .
WILEY INTERDISCIPLINARY REVIEWS-CLIMATE CHANGE, 2011, 2 (01) :45-65
[10]   ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions [J].
Dorigo, Wouter ;
Wagner, Wolfgang ;
Albergel, Clement ;
Albrecht, Franziska ;
Balsamo, Gianpaolo ;
Brocca, Luca ;
Chung, Daniel ;
Ertl, Martin ;
Forkel, Matthias ;
Gruber, Alexander ;
Haas, Eva ;
Hamer, Paul D. ;
Hirschi, Martin ;
Ikonen, Jaakko ;
de Jeu, Richard ;
Kidd, Richard ;
Lahoz, William ;
Liu, Yi Y. ;
Miralles, Diego ;
Mistelbauer, Thomas ;
Nicolai-Shaw, Nadine ;
Parinussa, Robert ;
Pratola, Chiara ;
Reimer, Christoph ;
van der Schalie, Robin ;
Seneviratne, Sonia I. ;
Smolander, Tuomo ;
Lecomte, Pascal .
REMOTE SENSING OF ENVIRONMENT, 2017, 203 :185-215