The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.
Confronting model predictions of carbon fluxes with measurements of Amazon forests subjected to experimental drought
Open accessAbstract
Summary: Considerable uncertainty surrounds the fate of Amazon rainforests in response to climate change. Here, carbon (C) flux predictions of five terrestrial biosphere models (Community Land Model version 3.5 (CLM3.5), Ecosystem Demography model version 2.1 (ED2), Integrated BIosphere Simulator version 2.6.4 (IBIS), Joint UK Land Environment Simulator version 2.1 (JULES) and Simple Biosphere model version 3 (SiB3)) and a hydrodynamic terrestrial ecosystem model (the Soil–Plant–Atmosphere (SPA) model) were evaluated against measurements from two large‐scale Amazon drought experiments. Model predictions agreed with the observed C fluxes in the control plots of both experiments, but poorly replicated the responses to the drought treatments. Most notably, with the exception of ED2, the models predicted negligible reductions in aboveground biomass in response to the drought treatments, which was in contrast to an observed c. 20% reduction at both sites. For ED2, the timing of the decline in aboveground biomass was accurate, but the magnitude was too high for one site and too low for the other. Three key findings indicate critical areas for future research and model development. First, the models predicted declines in autotrophic respiration under prolonged drought in contrast to measured increases at one of the sites. Secondly, models lacking a phenological response to drought introduced bias in the sensitivity of canopy productivity and respiration to drought. Thirdly, the phenomenological water‐stress functions used by the terrestrial biosphere models to represent the effects of soil moisture on stomatal conductance yielded unrealistic diurnal and seasonal responses to drought.
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Philosophical transactions of the Royal Society of London. B
Press, H. (1886) · Cited by 10,080
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
Stomatal Conductance and Photosynthesis
Farquhar, G. D., & Sharkey, T. D. (1982) · Annual Review of Plant Physiology · doi:10.1146/annurev.pp.33.060182.001533 · Cited by 4,159
Acceleration of global warming due to carbon-cycle feedbacks in a coupled climate model
Cox, P. M., Betts, R. A., Jones, C. D., Spall, S. A., & Totterdell, I. J. (2000) · Nature · doi:10.1038/35041539 · Cited by 4,112
An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements
Taylor, J. R., & Thompson, W. (1998) · Physics Today · doi:10.1063/1.882103 · Cited by 2,734
Collatz, G. J., Ball, J. T., Grivet, C., & Berry, J. A. (1991) · Agricultural and Forest Meteorology · doi:10.1016/0168-1923(91)90002-8 · Cited by 2,270
A Revised Land Surface Parameterization (SiB2) for Atmospheric GCMS. Part I: Model Formulation
Sellers, P. J., Randall, D. A., Collatz, G. J., Berry, J. A., Field, C. B., Dazlich, D. A., Zhang, C., Collelo, G. D., & Bounoua, L. (1996) · Journal of Climate · doi:10.1175/1520-0442(1996)009<0676:arlspf>2.0.co;2 · Cited by 1,968
Climate Change, Deforestation, and the Fate of the Amazon
Malhi, Y., Roberts, J. T., Betts, R. A., Killeen, T. J., Li, W., & Nobre, C. A. (2008) · Science · doi:10.1126/science.1146961 · Cited by 1,754
Self-citationThe Joint UK Land Environment Simulator (JULES), model description – Part 1: Energy and water fluxes
Best, M. J., Pryor, M., Clark, D. B., Rooney, G. G., Essery, R. L. H., Ménard, C. B., Edwards, J. M., Hendry, M. A., Porson, A., Gedney, N., et al. (2011) · Geoscientific Model Development · doi:10.5194/gmd-4-677-2011 · Cited by 1,545
An Introduction to Error Analysis: The Study of Uncertainties in Physical Measurements
Cohen, E. R. (1998) · Measurement Science and Technology · doi:10.1088/0957-0233/9/6/022 · Cited by 1,499
Cited by
Lawrence, D. M., Fisher, R. A., Koven, C. D., Oleson, K. W., Swenson, S. C., Bonan, G., Collier, N., Ghimire, B., van Kampenhout, L., Kennedy, D., et al. (2019) · Journal of Advances in Modeling Earth Systems · doi:10.1029/2018ms001583 · Cited by 2,060
Miralles, D. G., Gentine, P., Seneviratne, S. I., & Teuling, A. J. (2019) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.13912 · Cited by 1,080
Anderegg, W. R. L., Klein, T., Bartlett, M., Sack, L., Pellegrini, A. F. A., Choat, B., & Jansen, S. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1525678113 · Cited by 882
Vegetation demographics in Earth System Models: A review of progress and priorities
Fisher, R. A., Koven, C. D., Anderegg, W. R. L., Christoffersen, B. O., Dietze, M. C., Farrior, C. E., Holm, J. A., Hurtt, G. C., Knox, R. G., Lawrence, P. J., et al. (2018) · Global Change Biology · doi:10.1111/gcb.13910 · Cited by 768
Self-citationDrivers and mechanisms of tree mortality in moist tropical forests
McDowell, N., Allen, C. D., Anderson‐Teixeira, K., Brando, P., Brienen, R., Chambers, J., Christoffersen, B., Davies, S., Doughty, C., Duque, A., et al. (2018) · New Phytologist · doi:10.1111/nph.15027 · Cited by 597
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Metadata
- Authors
- Powell, T. L., Galbraith, D. R., Christoffersen, B. O., Harper, A., Imbuzeiro, H. M. A., Rowland, L., Almeida, S., Brando, P. M., da Costa, A. C. L., Costa, M. H., Levine, N. M., Malhi, Y., Saleska, S. R., Sotta, E., Williams, M., Meir, P., & Moorcroft, P. R.
- Venue
- New Phytologist
- Publisher
- Wiley
- Published
- 2013-07-12
- Volume
- 200
- Issue
- 2
- Pages
- 350-365
- ISSN
- 0028-646X (ISSN-L)
- 1469-8137
- OpenAlex
- W2123558695
- Cited by
- 306
- References
- 54
- FWCI
- 18.89
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Powell, T. L., Galbraith, D. R., Christoffersen, B. O., Harper, A., Imbuzeiro, H. M. A., Rowland, L., Almeida, S., Brando, P. M., da Costa, A. C. L., Costa, M. H., Levine, N. M., Malhi, Y., Saleska, S. R., Sotta, E., Williams, M., Meir, P., & Moorcroft, P. R. (2013). Confronting model predictions of carbon fluxes with measurements of Amazon forests subjected to experimental drought. New Phytologist. https://doi.org/10.1111/nph.12390
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