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      Establishing a Gross Primary Productivity Model by SIF and PRI on the Rice Canopy

      research-article
      1 , 1 , 2 , * , , 1 , 1 , 3
      Plant Phenomics
      AAAS

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          Abstract

          Solar-induced chlorophyll fluorescence (SIF) has shown remarkable results in estimating vegetation carbon cycles, and combining it with the photochemical reflectance index (PRI) has great potential for estimating gross primary productivity (GPP). However, few studies have used SIF combined with PRI to estimate crop canopy GPP. Large temporal and spatial variability between SIF, PRI, and GPP has also been found in remote sensing observations, and the observed PRI and SIF are influenced by the ratio of different observed information (e.g., background, direct sunlit, and shaded leaves) and the physiological state of the vegetation. In this study, the PRI and SIF from a multi-angle spectrometer and the GPP from an eddy covariance system were used to assess the ability of the PRI to enhance the SIF-GPP estimation model. A semi-empirical kernel-driven Bidirectional Reflectance Distribution Function (BRDF) model was used to describe the hotspot PRI/SIF (PRI hs/SIF hs), and a modified two-leaf model was used to calculate the total canopy PRI/SIF (PRI tot/SIF tot). We compared the accuracies of PRI hs/SIF hs and PRI tot/SIF tot in estimating GPP. The results indicated that the PRI tot+SIF tot-GPP model performed the best, with a correlation coefficient ( R 2) of the validation dataset of 0.88, a root mean square error (RMSE) of 3.74, and relative prediction deviation (RPD) of 2.71. The leaf area index (LAI) had a linear effect on the PRI/SIF estimation of GPP, but the temperature and vapor pressure differences had nonlinear effects. Compared with hotspot PRI hs/SIF hs, PRI tot/SIF tot exhibited better consistency with GPP across different time series. Our research demonstrates that PRI is effective in enhancing SIF and PRI for estimating GPP on the rice canopy and also suggests that the two-leaf model would contribute to the vegetation index tracking the real-time crop productivity.

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          On the Temperature Dependence of Soil Respiration

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              New global observations of the terrestrial carbon cycle from GOSAT: Patterns of plant fluorescence with gross primary productivity

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                Author and article information

                Journal
                Plant Phenomics
                Plant Phenomics
                PLANTPHENOMICS
                Plant Phenomics
                AAAS
                2643-6515
                01 February 2024
                2024
                : 6
                : 0144
                Affiliations
                [ 1 ]School of Ecology and Applied Meteorology, Nanjing University of Information Science & Technology , Nanjing 210044, China.
                [ 2 ] Jiangsu Key Laboratory of Agricultural Meteorology , Nanjing 210044, China.
                [ 3 ] National Meteorological Centre, China Meteorological Administration , Beijing 100081, China.
                Author notes
                [*] [* ]Address correspondence to: guojianmao2004@ 123456163.com
                Author information
                https://orcid.org/0000-0003-3597-393X
                Article
                0144
                10.34133/plantphenomics.0144
                10832794
                38304301
                32b9aa19-d922-4340-9b9b-503822e474f4
                Copyright © 2024 Zhanhao Zhang et al.

                Exclusive licensee Nanjing Agricultural University. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY 4.0).

                History
                : 01 August 2023
                : 06 January 2024
                : 01 February 2024
                Page count
                Figures: 10, Tables: 2, References: 62, Pages: 0
                Funding
                Funded by: Natural Science Foundation of Jiangsu Province, FundRef http://dx.doi.org/10.13039/501100004608;
                Award ID: BK20191139
                Award Recipient :
                Funded by: Natural Science Foundation of Jiangsu Province, FundRef http://dx.doi.org/10.13039/501100004608;
                Award ID: JKLAM2301
                Award Recipient :
                Categories
                Research Article

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