The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
What is global photosynthesis? History, uncertainties and opportunities
Open accessAbstract
Abstract Quantifying global terrestrial photosynthesis is essential to understanding the global carbon cycle and the climate system. Remote sensing has played a pivotal role in advancing our understanding of photosynthesis from leaf to global scale; however, substantial uncertainties still exist. In this review, we provide a historical overview of theory, modeling, and observations of photosynthesis across space and time for decadal intervals beginning in the 1950s. Then we identify the key uncertainties in global photosynthesis estimates, including evaluating light intercepted by canopies, biophysical forcings, the structure of light use efficiency models and their parameters, like photosynthetic capacity, and relationships between sun-induced chlorophyll fluorescence and canopy photosynthesis. Finally, we review new opportunities with big data and recently launched or planned satellite missions.
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A safe operating space for humanity
Rockström, J., Steffen, W., Noone, K., Persson, Å., Chapin, F. S., Lambin, E. F., Lenton, T. M., Scheffer, M., Folke, C., Schellnhuber, H. J., et al. (2009) · Nature · doi:10.1038/461472a · Cited by 13,333
High-Resolution Global Maps of 21st-Century Forest Cover Change
Hansen, M. C., Potapov, P. V., Moore, R., Hancher, M., Turubanova, S. A., Tyukavina, A., Thau, D., Stehman, S. V., Goetz, S. J., Loveland, T. R., et al. (2013) · Science · doi:10.1126/science.1244693 · Cited by 11,704
Chlorophyll fluorescence—a practical guide
Maxwell, K., & Johnson, G. N. (2000) · Journal of Experimental Botany · doi:10.1093/jexbot/51.345.659 · Cited by 9,347
A 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
Self-citationClimate and the efficiency of crop production in Britain
Monteith, J. L. (1977) · Philosophical Transactions of the Royal Society of London. B, Biological Sciences · doi:10.1098/rstb.1977.0140 · Cited by 3,484 · cited 2×
“The Light Use Efficiency (LUE)-based canopy photosynthesis model, the so-called big-leaf model, was proposed and tested (Monteith, 1972, 1977).”
BackgroundMethodThe chips are down for Moore’s law
Waldrop, M. M. (2016) · Nature · doi:10.1038/530144a · Cited by 2,397
Observational Contrains on the Global Atmospheric Co 2 Budget
Tans, P. P., Fung, I. Y., & Takahashi, T. (1990) · Science · doi:10.1126/science.247.4949.1431 · Cited by 2,066
Tropical Deforestation and Habitat Fragmentation in the Amazon: Satellite Data from 1978 to 1988
Skole, D., & Tucker, C. (1993) · Science · doi:10.1126/science.260.5116.1905 · Cited by 1,590
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Camps-Valls, G., Campos-Taberner, M., Moreno-Martínez, Á., Walther, S., Duveiller, G., Cescatti, A., Mahecha, M. D., Muñoz-Marí, J., García-Haro, F. J., Guanter, L., et al. (2021) · Science Advances · doi:10.1126/sciadv.abc7447 · Cited by 782
Remote sensing of solar-induced chlorophyll fluorescence (SIF) in vegetation: 50 years of progress
Mohammed, G. H., Colombo, R., Middleton, E. M., Rascher, U., van der Tol, C., Nedbal, L., Goulas, Y., Pérez-Priego, O., Damm, A., Meroni, M., et al. (2019) · Remote Sensing of Environment · doi:10.1016/j.rse.2019.04.030 · Cited by 747
Self-citationRecent global decline of CO 2 fertilization effects on vegetation photosynthesis
Wang, S., Zhang, Y., Ju, W., Chen, J. M., Ciais, P., Cescatti, A., Sardans, J., Janssens, I. A., Wu, M., Berry, J. A., et al. (2020) · Science · doi:10.1126/science.abb7772 · Cited by 697
Self-citationZheng, Y., Shen, R., Wang, Y., Li, X., Liu, S., Liang, S., Chen, J. M., Ju, W., Zhang, L., & Yuan, W. (2020) · Earth System Science Data · doi:10.5194/essd-12-2725-2020 · Cited by 432
Wang, S., Zhang, Y., Ju, W., Qiu, B., & Zhang, Z. (2021) · Science of The Total Environment · doi:10.1016/j.scitotenv.2020.142569 · Cited by 319
Metadata
- Authors
- Ryu, Y., Berry, J. A., & Baldocchi, D. D.
- Venue
- Remote Sensing of Environment
- Publisher
- Elsevier BV
- Published
- 2019-03
- Volume
- 223
- Pages
- 95-114
- ISSN
- 0034-4257 (ISSN-L)
- OpenAlex
- W2908975298
- Cited by
- 471
- References
- 8
- FWCI
- 34.47
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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