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Estimation of vegetation photosynthetic capacity from space‐based measurements of chlorophyll fluorescence for terrestrial biosphere models
Authors:Yongguang Zhang  Luis Guanter  Joseph A Berry  Joanna Joiner  Christiaan van der Tol  Alfredo Huete  Anatoly Gitelson  Maximilian Voigt  Philipp Köhler
Institution:1. Institute for Space Sciences, Free University of Berlin, , Berlin, 12165 Germany;2. Department of Global Ecology, Carnegie Institution for Science, , Stanford, CA, 94305 USA;3. NASA Goddard Space Flight Center, , Greenbelt, MD, 20771 USA;4. International Institute for Geo‐Information Science and Earth Observation, , 7500 AA Enschede, The Netherlands;5. Plant Functional Biology and Climate Change Cluster, University of Technology Sydney, , Sydney, NSW, 2007 Australia;6. School of Natural Resources, University of Nebraska – Lincoln, , Lincoln, NE, 68583 USA
Abstract: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.
Keywords:Farquhar model Cropland     GPP     photosynthesis     SCOPE     Solar‐induced fluorescence     V   cmax   
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