Exploring the Potential of Solar-Induced Chlorophyll Fluorescence Monitoring Drought-Induced Net Primary Productivity Dynamics in the Huang-Huai-Hai Plain Based on the SIF/NPP Ratio

Drought causes significant losses in vegetation net primary productivity (NPP). However, the lack of real-time, large-scale NPP data poses challenges in analyzing the relationship between drought and NPP. Solar-induced chlorophyll fluorescence (SIF) offers a real-time approach to monitoring drought-...

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Bibliographic Details
Published in:Remote sensing (Basel, Switzerland) Switzerland), 2023-07, Vol.15 (13), p.3276
Main Authors: Wang, Yanan, He, Jingchi, Shao, Ting, Tu, Youjun, Gao, Yuxin, Li, Junli
Format: Article
Language:English
Subjects:
Agricultural production
Analysis
Carbon
Carbon cycle (Biogeochemistry)
Chlorophyll
Climate change
Datasets
Drought
drought monitoring
Droughts
Dynamics
Efficiency
Environmental aspects
Fluorescence
Huang–Huai–Hai (HHH) Plain
Land area
Land surface temperature
Monitoring
Net Primary Productivity
net primary productivity (NPP)
normalized difference vegetation index (NDVI)
Parameter sensitivity
Photosynthesis
Photosynthetically active radiation
Precipitation
Productivity
Radiation
Real time
Remote sensing
Seasonal variations
Sensitivity
SIF/NPP ratio index
solar-induced chlorophyll fluorescence (SIF)
Vegetation
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Summary:Drought causes significant losses in vegetation net primary productivity (NPP). However, the lack of real-time, large-scale NPP data poses challenges in analyzing the relationship between drought and NPP. Solar-induced chlorophyll fluorescence (SIF) offers a real-time approach to monitoring drought-induced NPP dynamics. Using two drought events in the Huang–Huai–Hai Plain from 2010 to 2020 as examples, we propose a new SIF/NPP ratio index to quantify and evaluate SIF’s capability in monitoring drought-induced NPP dynamics. The findings reveal distinct seasonal changes in the SIF/NPP ratio across different drought events, intensities, and time scales. SIF demonstrates high sensitivity to commonly used vegetation greenness parameters for NPP estimation (R2 > 0.8, p < 0.01 for SIF vs NDVI and SIF vs LAI), as well as moderate sensitivity to land surface temperature (LST) and a fraction of absorbed photosynthetically active radiation (FAPAR) (R2 > 0.5, p < 0.01 for SIF vs FAPAR and R2 > 0.6, p < 0.01 for SIF vs LST). However, SIF shows limited sensitivity to precipitation (PRE). Our study suggests that SIF has potential for monitoring drought-induced NPP dynamics, offering a new approach for real-time monitoring and enhancing understanding of the drought–vegetation productivity relationship.
ISSN:2072-4292
2072-4292
DOI:10.3390/rs15133276