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Exploring the Potential of Spatially Downscaled Solar-Induced Chlorophyll Fluorescence to Monitor Drought Effects on Gross Primary Production in Winter Wheat

Qiu Shen, Jingyu Lin, Jianhua Yang and 2 more

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · 2022

doi:10.1109/jstars.2022.3148393 (opens in a new tab)

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Abstract

The impacts of drought on the terrestrial gross primary production (GPP) are the most intense and widespread in all extreme climate events. Solar-induced chlorophyll fluorescence (SIF) is considered as a direct representative of actual vegetation photosynthesis and has better performance in monitoring vegetation conditions than greenness-based vegetation indices (VI<sub>s</sub>) during drought events. Based on the spatially downscaled SIF (SIF<sub>ds</sub>), VI<sub>s</sub> and GPP products, we explored the potential of SIF<sub>ds</sub> to monitor drought effects on GPP in winter wheat. First, the spatiotemporal dynamics of hydrometeorological factors and vegetation variables in winter wheat during drought events were observed. Then, the SIF<sub>ds</sub>&#x2014;GPP relationships in different phenological stages were examined in the rainfed area. Finally, the drought-induced GPP losses in different phenological stages were evaluated by scaling SIF<sub>ds</sub> to GPP based on the linear SIF<sub>ds</sub>&#x2013;GPP relationship in the rainfed area. Results showed that SIF<sub>ds</sub> could capture the spatiotemporal dynamics of drought-induced GPP variations in winter wheat during drought events, and it could quantify accurately the drought-induced GPP losses, with higher sensitivities to GPP changes during the vigorous growing periods. Our study reveals the applicability of SIF<sub>ds</sub> to achieve regional agricultural drought detection and drought-induced GPP loss assessment, which can provide some help for crop adaptation management.

Abstract licence: CC BY-NC-ND

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