A roadmap for improving the representation of photosynthesis in Earth System Models
Abstract
Summary Accurate representation of photosynthesis in terrestrial biosphere models ( TBM s) is essential for robust projections of global change. However, current representations vary markedly between TBM s, contributing uncertainty to projections of global carbon fluxes. Here we compared the representation of photosynthesis in seven TBM s by examining leaf and canopy level responses of photosynthetic CO 2 assimilation ( A ) to key environmental variables: light, temperature, CO 2 concentration, vapor pressure deficit and soil water content. We identified research areas where limited process knowledge prevents inclusion of physiological phenomena in current TBM s and research areas where data are urgently needed for model parameterization or evaluation. We provide a roadmap for new science needed to improve the representation of photosynthesis in the next generation of terrestrial biosphere and Earth system models.
- Authors:
-
- Brookhaven National Lab. (BNL), Upton, NY (United States)
- Univ. of Western Sydney, Penrith (Australia)
- Purdue Univ., West Lafayette, IN (United States)
- National Center for Atmospheric Research, Boulder, CO (United States)
- The Australian National Univ., Canberra, ACT (Australia)
- Boston Univ., Boston, MA (United States)
- Max Planck Institute for Biogeochemistry, Jena (Germany); German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig (Germany)
- Univ. of Illinois at Urbana-Champaign, Champaign, IL (United States)
- Univ. of Exeter, Exeter (United Kingdom); Centre for Ecology and Hydrology, Wallingford (United Kingdom)
- Estonian Univ. of Life Sciences, Tartu (Estonia)
- Imperial College London, Ascot (United Kingdom); Macquarie Univ. North Ryde, NSW (Australia); Northwest Agriculture & Forestry Univ., Yangling (China)
- Univ. of Exeter, Exeter (United Kingdom)
- Duke Univ., Durham, NC (United States)
- Max Planck Institute for Biogeochemistry, Jena (Germany)
- Publication Date:
- Research Org.:
- Brookhaven National Laboratory (BNL), Upton, NY (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- OSTI Identifier:
- 1330501
- Alternate Identifier(s):
- OSTI ID: 1401258
- Report Number(s):
- BNL-113144-2016-JA
Journal ID: ISSN 1469-8137; R&D Project: 2016-BNL-EE630EECA-Budg; KP1701000
- Grant/Contract Number:
- SC00112704; DE‐SC00112704
- Resource Type:
- Accepted Manuscript
- Journal Name:
- New Phytologist (Online)
- Additional Journal Information:
- Journal Name: New Phytologist (Online); Journal Volume: 213; Journal Issue: 1; Journal ID: ISSN 1469-8137
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; carbon dioxide; light; stomatal conductance; soil water content; temperature; terrestrial biosphere models; vapor pressure deficit
Citation Formats
Rogers, Alistair, Medlyn, Belinda E., Dukes, Jeffrey S., Bonan, Gordon, Caemmerer, Susanne von, Dietze, Michael C., Kattge, Jens, Leakey, Andrew D. B., Mercado, Lina M., Niinemets, Ulo, Prentice, I. Colin, Serbin, Shawn P., Sitch, Stephen, Way, Danielle A., and Zaehle, Sonke. A roadmap for improving the representation of photosynthesis in Earth System Models. United States: N. p., 2016.
Web. doi:10.1111/nph.14283.
Rogers, Alistair, Medlyn, Belinda E., Dukes, Jeffrey S., Bonan, Gordon, Caemmerer, Susanne von, Dietze, Michael C., Kattge, Jens, Leakey, Andrew D. B., Mercado, Lina M., Niinemets, Ulo, Prentice, I. Colin, Serbin, Shawn P., Sitch, Stephen, Way, Danielle A., & Zaehle, Sonke. A roadmap for improving the representation of photosynthesis in Earth System Models. United States. https://doi.org/10.1111/nph.14283
Rogers, Alistair, Medlyn, Belinda E., Dukes, Jeffrey S., Bonan, Gordon, Caemmerer, Susanne von, Dietze, Michael C., Kattge, Jens, Leakey, Andrew D. B., Mercado, Lina M., Niinemets, Ulo, Prentice, I. Colin, Serbin, Shawn P., Sitch, Stephen, Way, Danielle A., and Zaehle, Sonke. Mon .
"A roadmap for improving the representation of photosynthesis in Earth System Models". United States. https://doi.org/10.1111/nph.14283. https://www.osti.gov/servlets/purl/1330501.
@article{osti_1330501,
title = {A roadmap for improving the representation of photosynthesis in Earth System Models},
author = {Rogers, Alistair and Medlyn, Belinda E. and Dukes, Jeffrey S. and Bonan, Gordon and Caemmerer, Susanne von and Dietze, Michael C. and Kattge, Jens and Leakey, Andrew D. B. and Mercado, Lina M. and Niinemets, Ulo and Prentice, I. Colin and Serbin, Shawn P. and Sitch, Stephen and Way, Danielle A. and Zaehle, Sonke},
abstractNote = {Summary Accurate representation of photosynthesis in terrestrial biosphere models ( TBM s) is essential for robust projections of global change. However, current representations vary markedly between TBM s, contributing uncertainty to projections of global carbon fluxes. Here we compared the representation of photosynthesis in seven TBM s by examining leaf and canopy level responses of photosynthetic CO 2 assimilation ( A ) to key environmental variables: light, temperature, CO 2 concentration, vapor pressure deficit and soil water content. We identified research areas where limited process knowledge prevents inclusion of physiological phenomena in current TBM s and research areas where data are urgently needed for model parameterization or evaluation. We provide a roadmap for new science needed to improve the representation of photosynthesis in the next generation of terrestrial biosphere and Earth system models.},
doi = {10.1111/nph.14283},
journal = {New Phytologist (Online)},
number = 1,
volume = 213,
place = {United States},
year = {Mon Nov 28 00:00:00 EST 2016},
month = {Mon Nov 28 00:00:00 EST 2016}
}
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Identification of key parameters controlling demographically structured vegetation dynamics in a land surface model: CLM4.5(FATES)
journal, January 2019
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P-model v1.0: an optimality-based light use efficiency model for simulating ecosystem gross primary production
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Effect of growth temperature on photosynthetic capacity and respiration in three ecotypes of Eriophorum vaginatum
journal, March 2018
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- Ecology and Evolution, Vol. 8, Issue 7
A review of the major drivers of the terrestrial carbon uptake: model-based assessments, consensus, and uncertainties
journal, September 2019
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Photosynthetic acclimation to warming in tropical forest tree seedlings
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- Journal of Experimental Botany, Vol. 68, Issue 9
The influence of canopy radiation parameter uncertainty on model projections of terrestrial carbon and energy cycling
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Global photosynthetic capacity is optimized to the environment
journal, January 2019
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Trees tolerate an extreme heatwave via sustained transpirational cooling and increased leaf thermal tolerance
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The temperature optima for tree seedling photosynthesis and growth depend on water inputs
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Large sensitivity in land carbon storage due to geographical and temporal variation in the thermal response of photosynthetic capacity
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A derivation error that affects carbon balance models exists in the current implementation of the modified Arrhenius function
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Optimal Inverse Estimation of Ecosystem Parameters from Observations of Carbon and Energy Fluxes
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LPJmL4 – a dynamic global vegetation model with managed land – Part 1: Model description
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Drought impacts on terrestrial primary production underestimated by satellite monitoring
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Drivers of leaf carbon exchange capacity across biomes at the continental scale
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Drought impacts on terrestrial primary production underestimated by satellite monitoring
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Historical changes in the stomatal limitation of photosynthesis: empirical support for an optimality principle
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Changes in Climate and Land Use Over the Amazon Region: Current and Future Variability and Trends
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Bridging Drought Experiment and Modeling: Representing the Differential Sensitivities of Leaf Gas Exchange to Drought
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Drought, Heat, and the Carbon Cycle: a Review
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Vegetation Functional Properties Determine Uncertainty of Simulated Ecosystem Productivity: A Traceability Analysis in the East Asian Monsoon Region
journal, June 2019
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Reviews and syntheses: Turning the challenges of partitioning ecosystem evaporation and transpiration into opportunities
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Effects of mesophyll conductance on vegetation responses to elevated CO 2 concentrations in a land surface model
journal, February 2019
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Global vegetation biomass production efficiency constrained by models and observations
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Improving plant allometry by fusing forest models and remote sensing
journal, April 2019
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In situ temperature relationships of biochemical and stomatal controls of photosynthesis in four lowland tropical tree species
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Elevated [ CO 2 ] effects on crops: Advances in understanding acclimation, nitrogen dynamics and interactions with drought and other organisms
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Optimal inverse estimation of ecosystem parameters from observations of carbon and energy fluxes
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Effect of growth temperature on photosynthetic capacity and respiration in three ecotypes of Eriophorum vaginatum
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Diurnal variation in mesophyll conductance and its influence on modelled water-use efficiency in a mature boreal Pinus sylvestris stand
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A novel optimization approach incorporating non-stomatal limitations predicts stomatal behaviour in species from six plant functional types
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tealeaves: an R package for modelling leaf temperature using energy budgets
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Global photosynthetic capacity is optimized to the environment
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Quantifying soil moisture impacts on light use efficiency across biomes
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Improving plant allometry by fusing forest models and remote sensing
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Disentangling land model uncertainty via Matrix-based Ensemble Model Inter-comparison Platform (MEMIP)
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The influence of canopy radiation parameter uncertainty on model projections of terrestrial carbon and energy cycling
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Genotype Specific Photosynthesis x Environment Interactions Captured by Automated Fluorescence Canopy Scans Over Two Fluctuating Growing Seasons
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- ETH Zurich
When does vapor pressure deficit drive or reduce evapotranspiration?
text, January 2018
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Optimal inverse estimation of ecosystem parameters from observations of carbon and energy fluxes
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Implementation and evaluation of the unified stomatal optimization approach in the Functionally Assembled Terrestrial Ecosystem Simulator (FATES)
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