Response of vegetation to drought and yield monitoring based on NDVI and SIF

Ding，Yibo1; He，Xiaofeng2; Zhou，Zhaoqiang3; Hu，Jie1; Cai，Huanjie4; Wang，Xiaoyun4; Li，Lusheng5; Xu，Jiatun4; Shi，Haiyun3

2022-12-01

10.1016/j.catena.2022.106328

CATENA   Impact Factor & Quartile

0341-8162

1872-6887

An increase in global warming has resulted in a global increase in meteorological droughts. As droughts play a key factor regulating vegetation growth, they inevitably have social and economic effects. Understanding vegetation dynamics and its response to climate change is therefor highly important to reveal the behavior mechanism of terrestrial ecosystems and to guide environmental management. In this investigation, Solar-induced Chlorophyll Fluorescence (SIF) and the Normalized Difference Vegetation Index (NDVI) were applied as vegetation indicators to describe vegetation dynamics and meteorological drought was described using the standardized precipitation evapotranspiration index (SPEI). Bias correction of precipitation and crop yield data of major crop producing areas was also used. By employing correlation coefficient of the maximum absolute value, a drought impact degree and propagation time to vegetation were defined. Dimensions of SIF and NDVI were unified by normalization. Results indicated that: (1) SIF and NDVI generally had a high level of consistency over China, and NDVI had a higher normalized value distribution level than SIF for different vegetation types. (2) Drought generally had a negative impact on vegetation in northern China and a positive impact in southern China. (3) Drought propagation time based on NDVI was larger than that based on SIF. (4) SIF had some advantages when monitoring crop yields among different crop producing areas. Results from this investigation will enable a greater understanding of SIF and NDVI for their application to monitor droughts and crop yield.

Crop yield Drought NDVI Solar-induced chlorophyll fluorescence

SCI

English

Corresponding

National Key Research and Development Program of China[2016YFC0400201];National Natural Science Foundation of China[51879223];Higher Education Discipline Innovation Project[B12007];

Geology ; Agriculture ; Water Resources

Geosciences, Multidisciplinary ; Soil Science ; Water Resources

WOS:000864651000003

ELSEVIER

AGRICULTURAL SCIENCES

2-s2.0-85138814465

Scopus

1.Yellow River Engineering Consulting Co.,Ltd,Zhengzhou,450003,China
2.Hangzhou River and Rural Water,Conservancy Management Service Center,Hangzhou,310014,China
3.State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control,School of Environmental Science and Engineering,Southern University of Science and Technology,Shenzhen,China
4.College of Water Resources and Architectural Engineering,Northwest A&F University,Yangling,712100,China
5.School of Water Conservancy,North China University of Water Resources and Electric Power,Zhengzhou,China

Ding，Yibo,He，Xiaofeng,Zhou，Zhaoqiang,et al. Response of vegetation to drought and yield monitoring based on NDVI and SIF[J]. CATENA,2022,219.

Ding，Yibo.,He，Xiaofeng.,Zhou，Zhaoqiang.,Hu，Jie.,Cai，Huanjie.,...&Shi，Haiyun.(2022).Response of vegetation to drought and yield monitoring based on NDVI and SIF.CATENA,219.

Ding，Yibo,et al."Response of vegetation to drought and yield monitoring based on NDVI and SIF".CATENA 219(2022).