Better revisiting chlorophyll content retrieval with varying senescent material and solar-induced chlorophyll fluorescence simulation on paddy rice during the entire growth stages. (November 2021)

• Record Type: Journal Article
• Authors: Shan, Nan; Xi, Lei; Zhang, Qian; Lin, Naifeng; Xu, Delin; Cao, Bingshuai
• Is Part Of: Ecological indicators. Volume 130(2021)
• Publication Date: 2021-11
• Subjects: Solar-induced chlorophyll fluorescence (SIF) -- Hyperspectral reflectance -- SCE-UA -- Senescent material -- Different growth stages; Environmental monitoring -- Periodicals; Environmental management -- Periodicals; Environmental impact analysis -- Periodicals; Environmental risk assessment -- Periodicals; Sustainable development -- Periodicals; 333.71405
• DOI: 10.1016/j.ecolind.2021.108057
• Languages: English
• ISSNs: 1470-160X

Abstract

Graphical abstract: Highlights: The Cab and SIF were retrieved based on the SCOPE model for paddy rice. We assessed the effect of senescent material on retrieved Cab during the whole growing season. The accuracy of Cab retrieval was improved when the variation in senescent material (Cs) was considered. The Interpretation of SIF was need to evaluate in different growth stages. Abstract: Solar-induced chlorophyll fluorescence at 760 nm (SIF) is a promising proxy of photosynthesis and can help improving plant stress monitoring. The Soil-Canopy Observation of Photochemistry and Energy fluxes (SCOPE) model combines radiative transfer and enzyme kinetics of photosynthesis and is widely used to interpret SIF at different temporal and spatial scales. In this study, growing season canopy hyperspectral reflectance between 400 nm and 900 nm was used to retrieve chlorophyll content (Cab) and leaf inclination (LIDFa) using radiative transfer models (RTMs) combined with the shuffled complex evolution-University of Arizona (SCE-UA) method. These parameters were then used to simulate diurnal and seasonal trends of SIF for paddy rice. The results showed that the accuracy of Cab retrieval was improved when the variation in senescent material (Cs) was considered, especially in the later growth stages. The SCOPE model was able to reliably interpret the diurnal cycle and seasonal trend of SIF with a correlation coefficient of 0.92 and RMSE of 0.12 w m −2 sr -1 um −1 . Our results revealed that the SCOPE model provides a promising method for interpreting SIF variations but its accuracy should be evaluated in different growth stages. This will serve as a significant reference for detecting plant photosynthetic activity and physiological traits at different growth stages.