Use of Sun-Induced Chlorophyll Fluorescence in Linear and Nonlinear Light Use Efficiency Models for Remote Estimation of Plant Photosynthesis Under Stress Conditions
This study assessed the potential of sun-induced chlorophyll fluorescence (SIF) to estimate plant net photosynthesis (<italic>A</italic><sub>net</sub>) using a series of linear and nonlinear light-use efficiency (LUE) models. These models incorporated chlorophyll content-base...
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2025-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
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| Online Access: | https://ieeexplore.ieee.org/document/10971929/ |
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| author | M. Pilar Cendrero-Mateo Shari Van Wittenberghe Valero Laparra Uwe Rascher Shirley A. Papuga Guillermo Ponce-Campos Jose Moreno |
| author_facet | M. Pilar Cendrero-Mateo Shari Van Wittenberghe Valero Laparra Uwe Rascher Shirley A. Papuga Guillermo Ponce-Campos Jose Moreno |
| author_sort | M. Pilar Cendrero-Mateo |
| collection | DOAJ |
| description | This study assessed the potential of sun-induced chlorophyll fluorescence (SIF) to estimate plant net photosynthesis (<italic>A</italic><sub>net</sub>) using a series of linear and nonlinear light-use efficiency (LUE) models. These models incorporated chlorophyll content-based vegetation indices as proxies for the fraction of absorbed photosynthetically active radiation (APAR) and nonphotochemical and photochemical quenching-related vegetation indices or reflected radiance based biophysical variables as proxies for LUE. A spectral unmixing technique was employed to retrieve the fluorescence quantum efficiency (FQE) and the flux of photons absorbed by beta-Carotene and xanthophyll pigments (APAR-CarbXan), key drivers of nonphotochemical quenching (NPQ). In this study, the maximum photosystem II efficiency (ΦPSII) ranged from 0.10 to 0.40, indicating a low level of photosynthetic performance under the observed conditions. In these conditions, the NPQ exhibited a high level of activation, which controlled the light reaction energy dissipation pathway and broke the positive linear relationship between photochemistry and fluorescence. Therefore, in this study, linear models incorporating FQE and APAR-CarbXan or their combination with meteorological variables failed to accurately capture the seasonal variations in <italic>A</italic><sub>net</sub>. However, the inclusion of a nonlinear relationship between LUE and FQE significantly improved model performance, demonstrating the necessity of nonlinear models for accurate SIF-based photosynthesis estimation. |
| format | Article |
| id | doaj-art-7ca91ad153654f2c9905bee5e1502e8f |
| institution | Kabale University |
| issn | 1939-1404 2151-1535 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| spelling | doaj-art-7ca91ad153654f2c9905bee5e1502e8f2025-08-20T03:32:42ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing1939-14042151-15352025-01-0118150691508510.1109/JSTARS.2025.356225610971929Use of Sun-Induced Chlorophyll Fluorescence in Linear and Nonlinear Light Use Efficiency Models for Remote Estimation of Plant Photosynthesis Under Stress ConditionsM. Pilar Cendrero-Mateo0https://orcid.org/0000-0001-5887-7890Shari Van Wittenberghe1https://orcid.org/0000-0002-5699-0352Valero Laparra2https://orcid.org/0000-0001-7531-9890Uwe Rascher3https://orcid.org/0000-0002-9993-4588Shirley A. Papuga4https://orcid.org/0000-0002-7226-0640Guillermo Ponce-Campos5https://orcid.org/0000-0003-4332-338XJose Moreno6https://orcid.org/0000-0002-5283-3333Image Processing Laboratory, University of Valencia, Paterna, SpainImage Processing Laboratory, University of Valencia, Paterna, SpainImage Processing Laboratory, University of Valencia, Paterna, SpainInstitute of Bio- and Geosciences: Plant Sciences (IBG-2), Forschungszentrum Jülich GmbH, Jülich, GermanyDepartment of Environmental Science and Geology, Wayne State University, Detroit, MI, USASchool of Natural Resources and Environment, University of Arizona, Tucson, AZ, USAImage Processing Laboratory, University of Valencia, Paterna, SpainThis study assessed the potential of sun-induced chlorophyll fluorescence (SIF) to estimate plant net photosynthesis (<italic>A</italic><sub>net</sub>) using a series of linear and nonlinear light-use efficiency (LUE) models. These models incorporated chlorophyll content-based vegetation indices as proxies for the fraction of absorbed photosynthetically active radiation (APAR) and nonphotochemical and photochemical quenching-related vegetation indices or reflected radiance based biophysical variables as proxies for LUE. A spectral unmixing technique was employed to retrieve the fluorescence quantum efficiency (FQE) and the flux of photons absorbed by beta-Carotene and xanthophyll pigments (APAR-CarbXan), key drivers of nonphotochemical quenching (NPQ). In this study, the maximum photosystem II efficiency (ΦPSII) ranged from 0.10 to 0.40, indicating a low level of photosynthetic performance under the observed conditions. In these conditions, the NPQ exhibited a high level of activation, which controlled the light reaction energy dissipation pathway and broke the positive linear relationship between photochemistry and fluorescence. Therefore, in this study, linear models incorporating FQE and APAR-CarbXan or their combination with meteorological variables failed to accurately capture the seasonal variations in <italic>A</italic><sub>net</sub>. However, the inclusion of a nonlinear relationship between LUE and FQE significantly improved model performance, demonstrating the necessity of nonlinear models for accurate SIF-based photosynthesis estimation.https://ieeexplore.ieee.org/document/10971929/Light use efficiency (LUE) modelnet photosynthesisnonphotochemical quenching (NPQ)photosynthetically active radiationsun-induced chlorophyll fluorescence (SIF) |
| spellingShingle | M. Pilar Cendrero-Mateo Shari Van Wittenberghe Valero Laparra Uwe Rascher Shirley A. Papuga Guillermo Ponce-Campos Jose Moreno Use of Sun-Induced Chlorophyll Fluorescence in Linear and Nonlinear Light Use Efficiency Models for Remote Estimation of Plant Photosynthesis Under Stress Conditions IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Light use efficiency (LUE) model net photosynthesis nonphotochemical quenching (NPQ) photosynthetically active radiation sun-induced chlorophyll fluorescence (SIF) |
| title | Use of Sun-Induced Chlorophyll Fluorescence in Linear and Nonlinear Light Use Efficiency Models for Remote Estimation of Plant Photosynthesis Under Stress Conditions |
| title_full | Use of Sun-Induced Chlorophyll Fluorescence in Linear and Nonlinear Light Use Efficiency Models for Remote Estimation of Plant Photosynthesis Under Stress Conditions |
| title_fullStr | Use of Sun-Induced Chlorophyll Fluorescence in Linear and Nonlinear Light Use Efficiency Models for Remote Estimation of Plant Photosynthesis Under Stress Conditions |
| title_full_unstemmed | Use of Sun-Induced Chlorophyll Fluorescence in Linear and Nonlinear Light Use Efficiency Models for Remote Estimation of Plant Photosynthesis Under Stress Conditions |
| title_short | Use of Sun-Induced Chlorophyll Fluorescence in Linear and Nonlinear Light Use Efficiency Models for Remote Estimation of Plant Photosynthesis Under Stress Conditions |
| title_sort | use of sun induced chlorophyll fluorescence in linear and nonlinear light use efficiency models for remote estimation of plant photosynthesis under stress conditions |
| topic | Light use efficiency (LUE) model net photosynthesis nonphotochemical quenching (NPQ) photosynthetically active radiation sun-induced chlorophyll fluorescence (SIF) |
| url | https://ieeexplore.ieee.org/document/10971929/ |
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