The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
Forest productivity and water stress in Amazonia: observations from GOSAT chlorophyll fluorescence
Open accessAbstract
It is unclear to what extent seasonal water stress impacts on plant productivity over Amazonia. Using new Greenhouse gases Observing SATellite (GOSAT) satellite measurements of sun-induced chlorophyll fluorescence, we show that midday fluorescence varies with water availability, both of which decrease in the dry season over Amazonian regions with substantial dry season length, suggesting a parallel decrease in gross primary production (GPP). Using additional SeaWinds Scatterometer onboard QuikSCAT satellite measurements of canopy water content, we found a concomitant decrease in daily storage of canopy water content within branches and leaves during the dry season, supporting our conclusion. A large part ( r 2 = 0.75) of the variance in observed monthly midday fluorescence from GOSAT is explained by water stress over moderately stressed evergreen forests over Amazonia, which is reproduced by model simulations that include a full physiological representation of photosynthesis and fluorescence. The strong relationship between GOSAT and model fluorescence ( r 2 = 0.79) was obtained using a fixed leaf area index, indicating that GPP changes are more related to environmental conditions than chlorophyll contents. When the dry season extended to drought in 2010 over Amazonia, midday basin-wide GPP was reduced by 15 per cent compared with 2009.
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Cites
Climate change 2007: the physical science basis
Solomon, S., Qin, D., Manning, M., Marquis, M. C., Averyt, K. B., Tignor, M., Miller, H. L., & Chen, Z. (2007) · Cited by 23,383
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-citationChlorophyll Fluorescence: A Probe of Photosynthesis In Vivo
Baker, N. R. (2008) · Annual Review of Plant Biology · doi:10.1146/annurev.arplant.59.032607.092759 · Cited by 4,639
Meehl, G. A., Stocker, T. F., Collins, W. D., Friedlingstein, P., Gaye, A. T., Gregory, J. M., Kitoh, A., Knutti, R., Murphy, J. M., Noda, A., et al. (n.d.) · Bern Open Repository and Information System (University of Bern) · doi:10.48350/25539 · Cited by 3,726
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
Drought-Induced Reduction in Global Terrestrial Net Primary Production from 2000 Through 2009
Zhao, M., & Running, S. W. (2010) · Science · doi:10.1126/science.1192666 · Cited by 2,674
Benchmark map of forest carbon stocks in tropical regions across three continents
Saatchi, S. S., Harris, N. L., Brown, S., Lefsky, M., Mitchard, E. T. A., Salas, W., Zutta, B. R., Buermann, W., Lewis, S. L., Hagen, S., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1019576108 · Cited by 2,353
Self-citationDrought Sensitivity of the Amazon Rainforest
Phillips, O. L., Aragão, L. E. O. C., Lewis, S. L., Fisher, J. B., Lloyd, J., López-González, G., Malhi, Y., Monteagudo, A., Peacock, J., Quesada, C. A., et al. (2009) · Science · doi:10.1126/science.1164033 · Cited by 1,847
Self-citationThe role of deep roots in the hydrological and carbon cycles of Amazonian forests and pastures
Nepstad, D. C., de Carvalho, C. R., Davidson, E. A., Jipp, P. H., Lefebvre, P. A., Negreiros, G. H., da Silva, E. D., Stone, T. A., Trumbore, S. E., & Vieira, S. (1994) · Nature · doi:10.1038/372666a0 · Cited by 1,414
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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-citationObserving terrestrial ecosystems and the carbon cycle from space
Schimel, D., Pavlick, R., Fisher, J. B., Asner, G. P., Saatchi, S., Townsend, P., Miller, C., Frankenberg, C., Hibbard, K., & Cox, P. (2015) · Global Change Biology · doi:10.1111/gcb.12822 · Cited by 585
Self-citationProspects for chlorophyll fluorescence remote sensing from the Orbiting Carbon Observatory-2
Frankenberg, C., O'Dell, C., Berry, J., Guanter, L., Joiner, J., Köhler, P., Pollock, R., & Taylor, T. E. (2014) · Remote Sensing of Environment · doi:10.1016/j.rse.2014.02.007 · Cited by 473
Self-citationLeaf development and demography explain photosynthetic seasonality in Amazon evergreen forests
Wu, J., Albert, L. P., Lopes, A. P., Restrepo-Coupe, N., Hayek, M., Wiedemann, K. T., Guan, K., Stark, S. C., Christoffersen, B., Prohaska, N., et al. (2016) · Science · doi:10.1126/science.aad5068 · Cited by 466
Zhang, Y., Guanter, L., Berry, J. A., van der Tol, C., Yang, X., Tang, J., & Zhang, F. (2016) · Remote Sensing of Environment · doi:10.1016/j.rse.2016.10.016 · Cited by 266
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Metadata
- Authors
- Lee, J.-E., Frankenberg, C., van der Tol, C., Berry, J. A., Guanter, L., Boyce, C. K., Fisher, J. B., Morrow, E., Worden, J. R., Asefi, S., Badgley, G., & Saatchi, S.
- Venue
- Proceedings of the Royal Society B: Biological Sciences
- Publisher
- The Royal Society
- Published
- 2013-06-22
- Volume
- 280
- Issue
- 1761
- Pages
- 20130171
- ISSN
- 0080-4649 (ISSN-L)
- 0962-8452
- 1471-2954
- OpenAlex
- W2094278312
- Cited by
- 386
- References
- 45
- FWCI
- 16.87
- Type
- journal article
- Language
- en
- Open access
- green
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- Lee, J.-E., Frankenberg, C., van der Tol, C., Berry, J. A., Guanter, L., Boyce, C. K., Fisher, J. B., Morrow, E., Worden, J. R., Asefi, S., Badgley, G., & Saatchi, S. (2013). Forest productivity and water stress in Amazonia: observations from GOSAT chlorophyll fluorescence. Proceedings of the Royal Society B: Biological Sciences. https://doi.org/10.1098/rspb.2013.0171
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