Articles | Volume 16, issue 15
https://doi.org/10.5194/bg-16-3069-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-16-3069-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Estimating global gross primary productivity using chlorophyll fluorescence and a data assimilation system with the BETHY-SCOPE model
Alexander J. Norton
School of Earth Sciences, University of Melbourne, Melbourne, Australia
School of Earth Sciences, University of Melbourne, Melbourne, Australia
Ernest N. Koffi
European Commission Joint Research Centre, Ispra, Italy
Marko Scholze
Department of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden
Jeremy D. Silver
School of Earth Sciences, University of Melbourne, Melbourne, Australia
Ying-Ping Wang
CSIRO Oceans and Atmospheres, Aspendale, Australia
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54 citations as recorded by crossref.
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- Attributing differences of solar-induced chlorophyll fluorescence (SIF)-gross primary production (GPP) relationships between two C4 crops: corn and miscanthus G. Wu et al. 10.1016/j.agrformet.2022.109046
- Triple oxygen isotope constraints on atmospheric O 2 and biological productivity during the mid-Proterozoic P. Liu et al. 10.1073/pnas.2105074118
- Global Retrievals of Solar‐Induced Chlorophyll Fluorescence at Red Wavelengths With TROPOMI P. Köhler et al. 10.1029/2020GL087541
- Sun-induced fluorescence closely linked to ecosystem transpiration as evidenced by satellite data and radiative transfer models W. Maes et al. 10.1016/j.rse.2020.112030
- The effect of temperature on photosystem II efficiency across plant functional types and climate P. Neri et al. 10.5194/bg-21-2731-2024
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- Simulation of ecosystem fluxes with the SCOPE model: Sensitivity to parametrization and evaluation with flux tower observations E. Prikaziuk et al. 10.1016/j.rse.2022.113324
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- The geologic history of primary productivity P. Crockford et al. 10.1016/j.cub.2023.09.040
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- Carbonyl sulfide: comparing a mechanistic representation of the vegetation uptake in a land surface model and the leaf relative uptake approach F. Maignan et al. 10.5194/bg-18-2917-2021
- The physiological basis for estimating photosynthesis from Chla fluorescence J. Han et al. 10.1111/nph.18045
- Optimal model complexity for terrestrial carbon cycle prediction C. Famiglietti et al. 10.5194/bg-18-2727-2021
- Environmental stress - what can we learn from chlorophyll a fluorescence analysis in woody plants? A review T. Swoczyna et al. 10.3389/fpls.2022.1048582
- Quantifying and Reducing Uncertainty in Global Carbon Cycle Predictions: Lessons and Perspectives From 15 Years of Data Assimilation Studies With the ORCHIDEE Terrestrial Biosphere Model N. MacBean et al. 10.1029/2021GB007177
- Accounting for canopy structure improves hyperspectral radiative transfer and sun-induced chlorophyll fluorescence representations in a new generation Earth System model R. Braghiere et al. 10.1016/j.rse.2021.112497
- Constraining global terrestrial gross primary productivity in a global carbon assimilation system with OCO-2 chlorophyll fluorescence data J. Wang et al. 10.1016/j.agrformet.2021.108424
- Constraining Plant Hydraulics With Microwave Radiometry in a Land Surface Model: Impacts of Temporal Resolution N. Holtzman et al. 10.1029/2023WR035481
54 citations as recorded by crossref.
- Environmental controls on carbon and water fluxes of a wheat-maize rotation cropland over the Huaibei Plain of China W. Xing et al. 10.1016/j.agwat.2023.108310
- Solar-Induced Chlorophyll Fluorescence (SIF): Towards a Better Understanding of Vegetation Dynamics and Carbon Uptake in Arctic-Boreal Ecosystems R. Cheng 10.1007/s40641-024-00194-8
- Carbon Flux Variability From a Relatively Simple Ecosystem Model With Assimilated Data Is Consistent With Terrestrial Biosphere Model Estimates G. Quetin et al. 10.1029/2019MS001889
- Challenges for drought assessment in the Mediterranean region under future climate scenarios Y. Tramblay et al. 10.1016/j.earscirev.2020.103348
- Downscaling solar-induced chlorophyll fluorescence for field-scale cotton yield estimation by a two-step convolutional neural network X. Kang et al. 10.1016/j.compag.2022.107260
- Global terrestrial carbon fluxes of 1999–2019 estimated by upscaling eddy covariance data with a random forest J. Zeng et al. 10.1038/s41597-020-00653-5
- Quantifying Northern High Latitude Gross Primary Productivity (GPP) Using Carbonyl Sulfide (OCS) L. Kuai et al. 10.1029/2021GB007216
- Climate Sensitivities of Carbon Turnover Times in Soil and Vegetation: Understanding Their Effects on Forest Carbon Sequestration R. Ge et al. 10.1029/2020JG005880
- Chlorophyll a fluorescence illuminates a path connecting plant molecular biology to Earth-system science A. Porcar-Castell et al. 10.1038/s41477-021-00980-4
- Terrestrial carbon cycle model-data fusion: Progress and challenges X. Li et al. 10.1007/s11430-020-9800-3
- Reviews and syntheses: Remotely sensed optical time series for monitoring vegetation productivity L. Kooistra et al. 10.5194/bg-21-473-2024
- Historically inconsistent productivity and respiration fluxes in the global terrestrial carbon cycle J. Jian et al. 10.1038/s41467-022-29391-5
- Satellite-based reflectances capture large fraction of variability in global gross primary production (GPP) at weekly time scales J. Joiner & Y. Yoshida 10.1016/j.agrformet.2020.108092
- Predicting Urban Trees’ Functional Trait Responses to Heat Using Reflectance Spectroscopy T. Kyaw et al. 10.3390/rs16132291
- An improved estimate of soil carbon pool and carbon fluxes in the Qinghai-Tibetan grasslands using data assimilation with an ecosystem biogeochemical model R. Zhao et al. 10.1016/j.geoderma.2022.116283
- Using SMOS soil moisture data combining CO2 flask samples to constrain carbon fluxes during 2010–2015 within a Carbon Cycle Data Assimilation System (CCDAS) M. Wu et al. 10.1016/j.rse.2020.111719
- Peak growing season patterns and climate extremes-driven responses of gross primary production estimated by satellite and process based models over North America W. He et al. 10.1016/j.agrformet.2020.108292
- Quantifying Fundamental Vegetation Traits over Europe Using the Sentinel-3 OLCI Catalogue in Google Earth Engine P. Reyes-Muñoz et al. 10.3390/rs14061347
- FLiES-SIF version 1.0: three-dimensional radiative transfer model for estimating solar induced fluorescence Y. Sakai et al. 10.5194/gmd-13-4041-2020
- Simulating spatially distributed solar-induced chlorophyll fluorescence using a BEPS-SCOPE coupling framework T. Cui et al. 10.1016/j.agrformet.2020.108169
- Wide discrepancies in the magnitude and direction of modeled solar-induced chlorophyll fluorescence in response to light conditions N. Parazoo et al. 10.5194/bg-17-3733-2020
- Correcting Clear‐Sky Bias in Gross Primary Production Modeling From Satellite Solar‐Induced Chlorophyll Fluorescence Data Z. Zhang et al. 10.1029/2020JG005822
- SIF-Based GPP Is a Useful Index for Assessing Impacts of Drought on Vegetation: An Example of a Mega-Drought in Yunnan Province, China C. Li et al. 10.3390/rs14061509
- Modeling Global Vegetation Gross Primary Productivity, Transpiration and Hyperspectral Canopy Radiative Transfer Simultaneously Using a Next Generation Land Surface Model—CliMA Land Y. Wang et al. 10.1029/2021MS002964
- Influence of sun zenith angle on canopy clumping and the resulting impacts on photosynthesis R. Braghiere et al. 10.1016/j.agrformet.2020.108065
- An Efficient Machine Learning Enabled Non-Destructive Technique for Remote Monitoring of Sugarcane Crop Health E. Panwar et al. 10.1109/ACCESS.2022.3190716
- Persistent effects of global warming on vegetation growth are regulated by water in China during 2001–2017 C. Li et al. 10.1016/j.jclepro.2022.135198
- Advancing terrestrial biodiversity monitoring with satellite remote sensing in the context of the Kunming-Montreal global biodiversity framework J. Timmermans & W. Daniel Kissling 10.1016/j.ecolind.2023.110773
- Improved process representation of leaf phenology significantly shifts climate sensitivity of ecosystem carbon balance A. Norton et al. 10.5194/bg-20-2455-2023
- Temporally corrected long-term satellite solar-induced fluorescence leads to improved estimation of global trends in vegetation photosynthesis during 1995–2018 S. Wang et al. 10.1016/j.isprsjprs.2022.10.018
- How Well Do We Understand the Land‐Ocean‐Atmosphere Carbon Cycle? D. Crisp et al. 10.1029/2021RG000736
- Revisiting the concept of stress in forest trees at the time of global change and issues for stress monitoring F. Bussotti & M. Pollastrini 10.1016/j.stress.2021.100013
- Characterization and Evaluation of Global Solar-Induced Chlorophyll Fluorescence Products: Estimation of Gross Primary Productivity and Phenology X. Zheng et al. 10.34133/remotesensing.0173
- Divergent historical GPP trends among state-of-the-art multi-model simulations and satellite-based products R. Yang et al. 10.5194/esd-13-833-2022
- Attributing differences of solar-induced chlorophyll fluorescence (SIF)-gross primary production (GPP) relationships between two C4 crops: corn and miscanthus G. Wu et al. 10.1016/j.agrformet.2022.109046
- Triple oxygen isotope constraints on atmospheric O 2 and biological productivity during the mid-Proterozoic P. Liu et al. 10.1073/pnas.2105074118
- Global Retrievals of Solar‐Induced Chlorophyll Fluorescence at Red Wavelengths With TROPOMI P. Köhler et al. 10.1029/2020GL087541
- Sun-induced fluorescence closely linked to ecosystem transpiration as evidenced by satellite data and radiative transfer models W. Maes et al. 10.1016/j.rse.2020.112030
- The effect of temperature on photosystem II efficiency across plant functional types and climate P. Neri et al. 10.5194/bg-21-2731-2024
- Simulating Global Dynamic Surface Reflectances for Imaging Spectroscopy Spaceborne Missions: LPJ‐PROSAIL B. Poulter et al. 10.1029/2022JG006935
- Scaling carbon fluxes from eddy covariance sites to globe: synthesis and evaluation of the FLUXCOM approach M. Jung et al. 10.5194/bg-17-1343-2020
- Regional estimates of gross primary production applying the Process-Based Model 3D-CMCC-FEM vs. Remote-Sensing multiple datasets D. Dalmonech et al. 10.1080/22797254.2023.2301657
- Simulation of ecosystem fluxes with the SCOPE model: Sensitivity to parametrization and evaluation with flux tower observations E. Prikaziuk et al. 10.1016/j.rse.2022.113324
- Improving E3SM Land Model Photosynthesis Parameterization via Satellite SIF, Machine Learning, and Surrogate Modeling A. Chen et al. 10.1029/2022MS003135
- The geologic history of primary productivity P. Crockford et al. 10.1016/j.cub.2023.09.040
- A 1 km Global Carbon Flux Dataset Using In Situ Measurements and Deep Learning W. Shangguan et al. 10.3390/f14050913
- Carbonyl sulfide: comparing a mechanistic representation of the vegetation uptake in a land surface model and the leaf relative uptake approach F. Maignan et al. 10.5194/bg-18-2917-2021
- The physiological basis for estimating photosynthesis from Chla fluorescence J. Han et al. 10.1111/nph.18045
- Optimal model complexity for terrestrial carbon cycle prediction C. Famiglietti et al. 10.5194/bg-18-2727-2021
- Environmental stress - what can we learn from chlorophyll a fluorescence analysis in woody plants? A review T. Swoczyna et al. 10.3389/fpls.2022.1048582
- Quantifying and Reducing Uncertainty in Global Carbon Cycle Predictions: Lessons and Perspectives From 15 Years of Data Assimilation Studies With the ORCHIDEE Terrestrial Biosphere Model N. MacBean et al. 10.1029/2021GB007177
- Accounting for canopy structure improves hyperspectral radiative transfer and sun-induced chlorophyll fluorescence representations in a new generation Earth System model R. Braghiere et al. 10.1016/j.rse.2021.112497
- Constraining global terrestrial gross primary productivity in a global carbon assimilation system with OCO-2 chlorophyll fluorescence data J. Wang et al. 10.1016/j.agrformet.2021.108424
- Constraining Plant Hydraulics With Microwave Radiometry in a Land Surface Model: Impacts of Temporal Resolution N. Holtzman et al. 10.1029/2023WR035481
Latest update: 14 Dec 2024
Short summary
This study presents an estimate of global terrestrial photosynthesis. We make use of satellite chlorophyll fluorescence measurements, a visible indicator of photosynthesis, to optimize model parameters and estimate photosynthetic carbon uptake. This new framework incorporates nonlinear, process-based understanding of the link between fluorescence and photosynthesis, an advance on past approaches. This will aid in the utility of fluorescence to quantify terrestrial carbon cycle feedbacks.
This study presents an estimate of global terrestrial photosynthesis. We make use of satellite...
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