The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Estimation of vegetation photosynthetic capacity from space‐based measurements of chlorophyll fluorescence for terrestrial biosphere models
Open accessAbstract
Photosynthesis simulations by terrestrial biosphere models are usually based on the Farquhar's model, in which the maximum rate of carboxylation (Vcmax) is a key control parameter of photosynthetic capacity. Even though Vcmax is known to vary substantially in space and time in response to environmental controls, it is typically parameterized in models with tabulated values associated to plant functional types. Remote sensing can be used to produce a spatially continuous and temporally resolved view on photosynthetic efficiency, but traditional vegetation observations based on spectral reflectance lack a direct link to plant photochemical processes. Alternatively, recent space‐borne measurements of sun‐induced chlorophyll fluorescence (SIF) can offer an observational constraint on photosynthesis simulations. Here, we show that top‐of‐canopy SIF measurements from space are sensitive to Vcmax at the ecosystem level, and present an approach to invert Vcmax from SIF data. We use the Soil‐Canopy Observation of Photosynthesis and Energy (SCOPE) balance model to derive empirical relationships between seasonal Vcmax and SIF which are used to solve the inverse problem. We evaluate our Vcmax estimation method at six agricultural flux tower sites in the midwestern US using spaced‐based SIF retrievals. Our Vcmax estimates agree well with literature values for corn and soybean plants (average values of 37 and 101 μmol m−2 s−1, respectively) and show plausible seasonal patterns. The effect of the updated seasonally varying Vcmax parameterization on simulated gross primary productivity (GPP) is tested by comparing to simulations with fixed Vcmax values. Validation against flux tower observations demonstrate that simulations of GPP and light use efficiency improve significantly when our time‐resolved Vcmax estimates from SIF are used, with R2 for GPP comparisons increasing from 0.85 to 0.93, and for light use efficiency from 0.44 to 0.83. Our results support the use of space‐based SIF data as a proxy for photosynthetic capacity and suggest the potential for global, time‐resolved estimates of Vcmax.
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Cites
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-citationChanges in Soil Microbial Community Structure in a Tallgrass Prairie Chronosequence
Allison, V. J., Miller, R. M., Jastrow, J. D., Matamala, R., & Zak, D. R. (2005) · Soil Science Society of America Journal · doi:10.2136/sssaj2004.0252 · Cited by 259
Cited by
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-citationLeaf chlorophyll content as a proxy for leaf photosynthetic capacity
Croft, H., Chen, J. M., Luo, X., Bartlett, P., Chen, B., & Staebler, R. M. (2017) · Global Change Biology · doi:10.1111/gcb.13599 · Cited by 744
Spatiotemporal patterns of terrestrial gross primary production: A review
Anav, A., Friedlingstein, P., Beer, C., Ciais, P., Harper, A., Jones, C., Murray‐Tortarolo, G., Papale, D., Parazoo, N. C., Peylin, P., et al. (2015) · Reviews of Geophysics · doi:10.1002/2015rg000483 · Cited by 743
Cai, Y., Guan, K., Lobell, D., Potgieter, A. B., Wang, S., Peng, J., Xu, T., Asseng, S., Zhang, Y., You, L., et al. (2019) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2019.03.010 · Cited by 591
Self-citationJoint control of terrestrial gross primary productivity by plant phenology and physiology
Xia, J., Niu, S., Ciais, P., Janssens, I. A., Chen, J., Ammann, C., Arain, A., Blanken, P. D., Cescatti, A., Bonal, D., et al. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1413090112 · Cited by 438
Metadata
- Authors
- Zhang, Y., Guanter, L., Berry, J. A., Joiner, J., van der Tol, C., Huete, A., Gitelson, A., Voigt, M., & Köhler, P.
- Venue
- Global Change Biology
- Publisher
- Wiley
- Published
- 2014-08
- Volume
- 20
- Issue
- 12
- Pages
- 3727-3742
- ISSN
- 1354-1013 (ISSN-L)
- 1365-2486
- OpenAlex
- W2133555095
- Cited by
- 341
- References
- 2
- FWCI
- 19.58
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Zhang, Y., Guanter, L., Berry, J. A., Joiner, J., van der Tol, C., Huete, A., Gitelson, A., Voigt, M., & Köhler, P. (2014). Estimation of vegetation photosynthetic capacity from space‐based measurements of chlorophyll fluorescence for terrestrial biosphere models. Global Change Biology. https://doi.org/10.1111/gcb.12664
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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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