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.
Data description paper
| 
07 Sep 2022
Data description paper |
| 07 Sep 2022
| 07 Sep 2022
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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Cited
16 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
- 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
- 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
- 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
- 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
- Observed divergence in the trends of temperature controls on Chinese ecosystem water use efficiency X. Xu et al. 10.1016/j.ecolind.2023.111241
- 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
- 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
- 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
- Simultaneous estimation of leaf directional-hemispherical reflectance and transmittance from multi-angular canopy reflectance J. Wang et al. 10.1016/j.rse.2024.114025
- 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
- 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
16 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
- 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
- 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
- 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
- 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
- Observed divergence in the trends of temperature controls on Chinese ecosystem water use efficiency X. Xu et al. 10.1016/j.ecolind.2023.111241
- 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
- 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
- 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
- Simultaneous estimation of leaf directional-hemispherical reflectance and transmittance from multi-angular canopy reflectance J. Wang et al. 10.1016/j.rse.2024.114025
- 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
- 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
Discussed (final revised paper)
Latest update: 23 Apr 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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