The DOI matches its Crossref record; 181 of the 181 references it cites were found in a registry or an index.
A roadmap for improving the representation of photosynthesis in Earth system models
Open accessAbstract
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 CO2 assimilation (A) to key environmental variables: light, temperature, CO2 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.
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The worldwide leaf economics spectrum
Wright, I. J., Reich, P. B., Westoby, M., Ackerly, D. D., Baruch, Z., Bongers, F., Cavender-Bares, J., Chapin, T., Cornelissen, J. H. C., Diemer, M., et al. (2004) · Nature · doi:10.1038/nature02403 · Cited by 9,021
Self-citationA biochemical model of photosynthetic CO2 assimilation in leaves of C3 species
Farquhar, G. D., von Caemmerer, S., & Berry, J. A. (1980) · Planta · doi:10.1007/bf00386231 · Cited by 8,796
(2013) · Cited by 6,752
Some relationships between the biochemistry of photosynthesis and the gas exchange of leaves
von Caemmerer, S., & Farquhar, G. D. (1981) · Planta · doi:10.1007/bf00384257 · Cited by 4,696
Self-citationPhotosynthesis under drought and salt stress: regulation mechanisms from whole plant to cell.
Chaves, M. M., Flexas, J., & Pinheiro, C. (2009) · Annals of Botany · doi:10.1093/aob/mcn125 · Cited by 4,181
The world‐wide ‘fast–slow’ plant economics spectrum: a traits manifesto
Reich, P. B. (2014) · Journal of Ecology · doi:10.1111/1365-2745.12211 · Cited by 4,000
Ainsworth, E. A., & Long, S. P. (2005) · New Phytologist · doi:10.1111/j.1469-8137.2004.01224.x · Cited by 3,624
Photosynthetic Response and Adaptation to Temperature in Higher Plants
Berry, J., & Bjorkman, O. (1980) · Annual Review of Plant Physiology · doi:10.1146/annurev.pp.31.060180.002423 · Cited by 3,063
Climate–Carbon Cycle Feedback Analysis: Results from the C4MIP Model Intercomparison
Friedlingstein, P., Cox, P., Betts, R., Bopp, L., von Bloh, W., Brovkin, V., Cadule, P., Doney, S., Eby, M., Fung, I., et al. (2006) · Journal of Climate · doi:10.1175/jcli3800.1 · Cited by 2,902
Terrestrial Gross Carbon Dioxide Uptake: Global Distribution and Covariation with Climate
Beer, C., Reichstein, M., Tomelleri, E., Ciais, P., Jung, M., Carvalhais, N., Rödenbeck, C., Arain, M. A., Baldocchi, D., Bonan, G. B., et al. (2010) · Science · doi:10.1126/science.1184984 · Cited by 2,831
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Self-citationPedotransfer Functions in Earth System Science: Challenges and Perspectives
Van Looy, K., Bouma, J., Herbst, M., Koestel, J., Minasny, B., Mishra, U., Montzka, C., Nemes, A., Pachepsky, Y. A., Padarian, J., et al. (2017) · Reviews of Geophysics · doi:10.1002/2017rg000581 · Cited by 567
Machine learning and artificial intelligence to aid climate change research and preparedness
Huntingford, C., Jeffers, E. S., Bonsall, M. B., Christensen, H. M., Lees, T., & Yang, H. (2019) · Environmental Research Letters · doi:10.1088/1748-9326/ab4e55 · Cited by 469
Drought impacts on terrestrial primary production underestimated by satellite monitoring
Stocker, B. D., Zscheischler, J., Keenan, T. F., Prentice, I. C., Seneviratne, S. I., & Peñuelas, J. (2019) · Nature Geoscience · doi:10.1038/s41561-019-0318-6 · Cited by 468
Self-citationThe nitrogen cost of photosynthesis
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Metadata
- Authors
- Rogers, A., Medlyn, B. E., Dukes, J. S., Bonan, G., von Caemmerer, S., Dietze, M. C., Kattge, J., Leakey, A. D. B., Mercado, L. M., Niinemets, Ü., Prentice, I. C., Serbin, S. P., Sitch, S., Way, D. A., & Zaehle, S.
- Venue
- New Phytologist
- Publisher
- Wiley
- Published
- 2016-11-28
- Volume
- 213
- Issue
- 1
- Pages
- 22-42
- ISSN
- 0028-646X (ISSN-L)
- 1469-8137
- OpenAlex
- W2557651103
- Cited by
- 552
- References
- 181
- FWCI
- 33.62
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Rogers, A., Medlyn, B. E., Dukes, J. S., Bonan, G., von Caemmerer, S., Dietze, M. C., Kattge, J., Leakey, A. D. B., Mercado, L. M., Niinemets, Ü., Prentice, I. C., Serbin, S. P., Sitch, S., Way, D. A., & Zaehle, S. (2017). A roadmap for improving the representation of photosynthesis in Earth system models. New Phytologist. https://doi.org/10.1111/nph.14283
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