Articles | Volume 14, issue 9
https://doi.org/10.5194/essd-14-4077-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-4077-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Global datasets of leaf photosynthetic capacity for ecological and earth system research
Jing M. Chen
CORRESPONDING AUTHOR
School of Geographical Sciences, Fujian Normal University, Fuzhou, China
Department of Geography and Planning, University of Toronto, Toronto, Canada
Rong Wang
School of Geographical Sciences, Fujian Normal University, Fuzhou, China
Yihong Liu
Department of Geography and Planning, University of Toronto, Toronto, Canada
Liming He
Canada Centre for Remote Sensing, Natural Resources Canada, Toronto, Canada
Holly Croft
School of Biosciences, University of Sheffield, Sheffield, UK
Xiangzhong Luo
Department of Geography, National University of Singapore, Singapore, Singapore
Han Wang
Department of Earth System Science, Tsinghua University, 100084 Beijing, China
Nicholas G. Smith
Department of Biological Sciences, Texas Tech University, Lubbock, TX, USA
Trevor F. Keenan
Climate and Ecosystem Sciences Division, Lawrence Berkeley National
Laboratory, Berkeley, CA, USA
Department of Environmental Science, Policy and Management, UC
Berkeley, Berkeley, CA, USA
I. Colin Prentice
Department of Life Sciences, Imperial College London, Silwood Park
Campus, Buckhurst Road, SL57PY Ascot, UK
Department of Earth System Science, Tsinghua University, 100084 Beijing, China
Department of Biological Sciences, Macquarie University, 2109 North Ryde, NSW, Australia
Yongguang Zhang
International Institute of Earth System Science, Nanjing University, Nanjing, China
Weimin Ju
International Institute of Earth System Science, Nanjing University, Nanjing, China
Ning Dong
Department of Life Sciences, Imperial College London, Silwood Park
Campus, Buckhurst Road, SL57PY Ascot, UK
Department of Biological Sciences, Macquarie University, 2109 North Ryde, NSW, Australia
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- Impacts of vegetation greening and climate change on trend and interannual variability in vegetation productivity in the Wuyi Mountain region J. He et al. 10.1080/10095020.2024.2362754
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- Remote sensing of terrestrial gross primary productivity: a review of advances in theoretical foundation, key parameters and methods W. Zhu et al. 10.1080/15481603.2024.2318846
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- Estimation of global transpiration from remotely sensed solar-induced chlorophyll fluorescence J. Yang et al. 10.1016/j.rse.2024.113998
- The direct and indirect effects of the environmental factors on global terrestrial gross primary productivity over the past four decades Y. Chen et al. 10.1088/1748-9326/ad107f
- Tree growth rate-mediated trade-off between drought resistance and recovery in the Northern Hemisphere W. Tao et al. 10.1098/rspb.2024.1427
- Variation of magnesium drives plant adaption to heterogeneous environments by regulating efficiency in photosynthesis on a large scale C. Jiao et al. 10.1111/1365-2745.14411
- Seasonal variation in the relationship between leaf chlorophyll content and photosynthetic capacity L. Yu et al. 10.1111/pce.14997
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- Accurate Estimation of Gross Primary Production of Paddy Rice Cropland with UAV Imagery-Driven Leaf Biochemical Model X. Hu et al. 10.3390/rs16203906
- Deriving photosystem-level red chlorophyll fluorescence emission by combining leaf chlorophyll content and canopy far-red solar-induced fluorescence: Possibilities and challenges L. Wu et al. 10.1016/j.rse.2024.114043
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- A novel hybrid modelling framework for GPP estimation: Integrating a multispectral surface reflectance based Vcmax25 simulator into the process-based model X. Hu et al. 10.1016/j.scitotenv.2024.171182
- Global datasets of hourly carbon and water fluxes simulated using a satellite-based process model with dynamic parameterizations J. Leng et al. 10.5194/essd-16-1283-2024
- Regulation of the global carbon and water cycles through vegetation structural and physiological dynamics W. Li et al. 10.1088/1748-9326/ad5858
- Simultaneous estimation of leaf directional-hemispherical reflectance and transmittance from multi-angular canopy reflectance J. Wang et al. 10.1016/j.rse.2024.114025
- Elevated atmospheric CO2 concentration and vegetation structural changes contributed to gross primary productivity increase more than climate and forest cover changes in subtropical forests of China T. Chen et al. 10.5194/bg-21-2253-2024
- Integrating leaf functional traits improves modelled estimates of carbon and water fluxes at a subtropical evergreen conifer forest B. Chen et al. 10.1016/j.ecolmodel.2023.110593
- Coupling Light Intensity and Hyperspectral Reflectance Improve Estimations of the Actual Electron Transport Rate of Mango Leaves (Mangifera indica L.) J. Jin et al. 10.3390/rs16183523
30 citations as recorded by crossref.
- Optimizing seasonally variable photosynthetic parameters based on joint carbon and water flux constraints J. Leng et al. 10.1016/j.agrformet.2024.109999
- Innovative approach for estimating evapotranspiration and gross primary productivity by integrating land data assimilation, machine learning, and multi-source observations X. He et al. 10.1016/j.agrformet.2024.110136
- Improved Estimation of the Gross Primary Production of Europe by Considering the Spatial and Temporal Changes in Photosynthetic Capacity from 2001 to 2016 Q. Wu et al. 10.3390/rs15051172
- Impacts of vegetation greening and climate change on trend and interannual variability in vegetation productivity in the Wuyi Mountain region J. He et al. 10.1080/10095020.2024.2362754
- Improved global estimation of seasonal variations in C3 photosynthetic capacity based on eco-evolutionary optimality hypotheses and remote sensing Y. Liu et al. 10.1016/j.rse.2024.114338
- Principles for satellite monitoring of vegetation carbon uptake I. Prentice et al. 10.1038/s43017-024-00601-6
- A differentiable, physics-informed ecosystem modeling and learning framework for large-scale inverse problems: demonstration with photosynthesis simulations D. Aboelyazeed et al. 10.5194/bg-20-2671-2023
- Remote sensing of terrestrial gross primary productivity: a review of advances in theoretical foundation, key parameters and methods W. Zhu et al. 10.1080/15481603.2024.2318846
- Leaf chlorophyll content is the crucial factor for the temporal and spatial variation of global plants leaf maximum carboxylation rate X. Wang & J. Shi 10.1016/j.scitotenv.2024.172280
- Estimation of global transpiration from remotely sensed solar-induced chlorophyll fluorescence J. Yang et al. 10.1016/j.rse.2024.113998
- The direct and indirect effects of the environmental factors on global terrestrial gross primary productivity over the past four decades Y. Chen et al. 10.1088/1748-9326/ad107f
- Tree growth rate-mediated trade-off between drought resistance and recovery in the Northern Hemisphere W. Tao et al. 10.1098/rspb.2024.1427
- Variation of magnesium drives plant adaption to heterogeneous environments by regulating efficiency in photosynthesis on a large scale C. Jiao et al. 10.1111/1365-2745.14411
- Seasonal variation in the relationship between leaf chlorophyll content and photosynthetic capacity L. Yu et al. 10.1111/pce.14997
- Degree of shade tolerance shapes seasonality of chlorophyll, nitrogen and phosphorus levels of trees and herbs in a temperate deciduous forest J. Zeng et al. 10.1007/s11676-024-01703-z
- Widespread and complex drought effects on vegetation physiology inferred from space W. Li et al. 10.1038/s41467-023-40226-9
- Global photosynthetic capacity of C3 biomes retrieved from solar-induced chlorophyll fluorescence and leaf chlorophyll content Y. Liu et al. 10.1016/j.rse.2023.113457
- Accurate Estimation of Gross Primary Production of Paddy Rice Cropland with UAV Imagery-Driven Leaf Biochemical Model X. Hu et al. 10.3390/rs16203906
- Deriving photosystem-level red chlorophyll fluorescence emission by combining leaf chlorophyll content and canopy far-red solar-induced fluorescence: Possibilities and challenges L. Wu et al. 10.1016/j.rse.2024.114043
- Spectral detection of leaf carbon and nitrogen as a proxy for remote assessment of photosynthetic capacity for wheat and maize under nitrogen stress Z. Yang et al. 10.1016/j.compag.2024.109174
- Assimilation of carbonyl sulfide (COS) fluxes within the adjoint-based data assimilation system – Nanjing University Carbon Assimilation System (NUCAS v1.0) H. Zhu et al. 10.5194/gmd-17-6337-2024
- Observed divergence in the trends of temperature controls on Chinese ecosystem water use efficiency X. Xu et al. 10.1016/j.ecolind.2023.111241
- Why models underestimate West African tropical forest primary productivity H. Zhang-Zheng et al. 10.1038/s41467-024-53949-0
- A novel hybrid modelling framework for GPP estimation: Integrating a multispectral surface reflectance based Vcmax25 simulator into the process-based model X. Hu et al. 10.1016/j.scitotenv.2024.171182
- Global datasets of hourly carbon and water fluxes simulated using a satellite-based process model with dynamic parameterizations J. Leng et al. 10.5194/essd-16-1283-2024
- Regulation of the global carbon and water cycles through vegetation structural and physiological dynamics W. Li et al. 10.1088/1748-9326/ad5858
- Simultaneous estimation of leaf directional-hemispherical reflectance and transmittance from multi-angular canopy reflectance J. Wang et al. 10.1016/j.rse.2024.114025
- Elevated atmospheric CO2 concentration and vegetation structural changes contributed to gross primary productivity increase more than climate and forest cover changes in subtropical forests of China T. Chen et al. 10.5194/bg-21-2253-2024
- Integrating leaf functional traits improves modelled estimates of carbon and water fluxes at a subtropical evergreen conifer forest B. Chen et al. 10.1016/j.ecolmodel.2023.110593
- Coupling Light Intensity and Hyperspectral Reflectance Improve Estimations of the Actual Electron Transport Rate of Mango Leaves (Mangifera indica L.) J. Jin et al. 10.3390/rs16183523
Latest update: 22 Nov 2024
Short summary
Green leaves contain chlorophyll pigments that harvest light for photosynthesis and also emit chlorophyll fluorescence as a byproduct. Both chlorophyll pigments and fluorescence can be measured by Earth-orbiting satellite sensors. Here we demonstrate that leaf photosynthetic capacity can be reliably derived globally using these measurements. This new satellite-based information overcomes a bottleneck in global ecological research where such spatially explicit information is currently lacking.
Green leaves contain chlorophyll pigments that harvest light for photosynthesis and also emit...
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