Articles | Volume 13, issue 3
https://doi.org/10.5194/gmd-13-1545-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-13-1545-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
P-model v1.0: an optimality-based light use efficiency model for simulating ecosystem gross primary production
CREAF, Campus UAB, 08193 Bellaterra, Catalonia, Spain
Earth System Science, Stanford University, Stanford, CA 94305, USA
Institute of Agricultural Sciences, Department of Environmental Systems Science, ETH, Universitätsstrasse 2, 8092 Zürich, Switzerland
Department of Earth System Science, Tsinghua University, Haidian, Beijing, 100084, China
Nicholas G. Smith
Department of Biological Sciences, Texas Tech University, Lubbock, TX 79409, USA
Sandy P. Harrison
Geography and Environmental Science, Reading University, Reading, RG6 6AH, UK
Trevor F. Keenan
Earth and Environmental Sciences Area, Lawrence Berkeley National Lab, Berkeley, CA 94709, USA
Department of Environmental Science, Policy and Management, UC Berkeley, Berkeley, CA 94720, USA
David Sandoval
AXA Chair of Biosphere and Climate Impacts, Department of Life Sciences, Imperial College London, Silwood Park Campus, Ascot, Berkshire, SL5 7PY, UK
Tyler Davis
AXA Chair of Biosphere and Climate Impacts, Department of Life Sciences, Imperial College London, Silwood Park Campus, Ascot, Berkshire, SL5 7PY, UK
Center for Geospatial Analysis, The College of William & Mary, Williamsburg, VA 23185, USA
I. Colin Prentice
AXA Chair of Biosphere and Climate Impacts, Department of Life Sciences, Imperial College London, Silwood Park Campus, Ascot, Berkshire, SL5 7PY, UK
Department of Earth System Science, Tsinghua University, Haidian, Beijing, 100084, China
Department of Biological Sciences, Macquarie University, North Ryde, NSW 2109, Australia
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- Difference in seasonal peak timing of soybean far-red SIF and GPP explained by canopy structure and chlorophyll content G. Wu et al. 10.1016/j.rse.2022.113104
- A global dataset of the fraction of absorbed photosynthetically active radiation for 1982–2022 W. Zhao et al. 10.1038/s41597-024-03561-0
- Eco‐evolutionary optimality as a means to improve vegetation and land‐surface models S. Harrison et al. 10.1111/nph.17558
- Opportunities to improve our understanding of the impact of photosynthetic acclimation on terrestrial ecosystem processes under global change N. Smith 10.1002/ajb2.16313
- Integrating eco-evolutionary optimality principle and land processes for evapotranspiration estimation M. Zou et al. 10.1016/j.jhydrol.2022.128855
- Isotopic clumping in wood as a proxy for photorespiration in trees M. Lloyd et al. 10.1073/pnas.2306736120
- Coupling a light use efficiency model with a machine learning-based water constraint for predicting grassland gross primary production R. Yu et al. 10.1016/j.agrformet.2023.109634
- Optimality-based modelling of wheat sowing dates globally S. Qiao et al. 10.1016/j.agsy.2023.103608
- An improved light use efficiency model by considering canopy nitrogen concentrations and multiple environmental factors H. Zhang et al. 10.1016/j.agrformet.2023.109359
- Towards a unified theory of plant photosynthesis and hydraulics J. Joshi et al. 10.1038/s41477-022-01244-5
- Triose phosphate utilization limitation: an unnecessary complexity in terrestrial biosphere model representation of photosynthesis A. Rogers et al. 10.1111/nph.17092
- Vegetation restoration dominates increase in water use efficiency in drylands of China C. Wang et al. 10.1016/j.ecolind.2022.109703
- The response of wildfire regimes to Last Glacial Maximum carbon dioxide and climate O. Haas et al. 10.5194/bg-20-3981-2023
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- Optimality-based modelling of climate impacts on global potential wheat yield S. Qiao et al. 10.1088/1748-9326/ac2e38
- Climatic limitations on grassland photosynthesis over the Tibetan Plateau shifted from temperature to water J. Xie et al. 10.1016/j.scitotenv.2023.167663
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Latest update: 14 Dec 2024
Short summary
Estimating terrestrial photosynthesis relies on satellite data of vegetation cover and models simulating the efficiency by which light absorbed by vegetation is used for CO2 assimilation. This paper presents the P-model, a light use efficiency model derived from a carbon–water optimality principle, and evaluates its predictions of ecosystem-level photosynthesis against globally distributed observations. The model is implemented and openly accessible as an R package (rpmodel).
Estimating terrestrial photosynthesis relies on satellite data of vegetation cover and models...