A model of canopy photosynthesis and water use incorporating a mechanistic formulation of leaf CO2 exchange

McMurtrie, Ross E.; Leuning, R.; Thompson, W. A.; Wheeler, A. M.

doi:10.1016/0378-1127(92)90505-4

Cited by 114 publications

(50 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…McMurtrie et al 1992;Friend et al 1997;. The current study indicates that, on the basis of a large experimental data set, this photosynthesis submodel is likely to be adequate for predictions of long-term responses of forests to increases in atmospheric CO 2 concentration.…”

Section: Implications For Modellingmentioning

confidence: 73%

Effects of elevated [CO₂] on photosynthesis in European forest species: a meta‐analysis of model parameters

Medlyn

Badeck

Pury

et al. 1999

Plant Cell & Environment

457

404

View full text Add to dashboard Cite

The effects of elevated atmospheric CO 2 concentration on growth of forest tree species are difficult to predict because practical limitations restrict experiments to much shorter than the average life-span of a tree. Long-term, processbased computer models must be used to extrapolate from shorter-term experiments. A key problem is to ensure a strong flow of information between experiments and models. In this study, meta-analysis techniques were used to summarize a suite of photosynthetic model parameters obtained from 15 field-based elevated [CO 2 ] experiments on European forest tree species. The parameters studied are commonly used in modelling photosynthesis, and include observed light-saturated photosynthetic rates (A max ), the potential electron transport rate (J max ), the maximum Rubisco activity (V cmax ) and leaf nitrogen concentration on mass (N m ) and area (N a ) bases. Across all experiments, light-saturated photosynthesis was strongly stimulated by growth in elevated [CO 2 ]. However, significant down-regulation of photosynthesis was also observed; when measured at the same CO 2 concentration, photosynthesis was reduced by 10-20%. Wullschleger (1993) and Ryan et al. (1994), are therefore invaluable for improving model predictions.These challenges were faced by the ECOCRAFT network, a group of laboratories conducting field-based experiments on the effects of elevated [CO 2 ] on European forest tree species. The network has existed since 1991, and the experimental results up to 1995 have been compiled by Jarvis (1998). Besford, Mousseau & Matteucci (1998) reviewed observations of photosynthetic rates in the ECOCRAFT experiments, and concluded that 'both up and down-regulation of photosynthesis has been found. Downregulation appears to be associated with either poor nutrient status or accumulation of starch, occurs more often late in the growing season and in the older needles of conifers.'The group then faced the problem of quantifying these results in such a way that they could be included in models. This problem was addressed by establishing a central relational database of model parameters (Medlyn & Jarvis 1999). The parameters required, and the methods of deriving them from experimental data, were agreed upon by project working groups comprising both experimentalists and modellers. This paper reports on the photosynthesis parameters from the database, presenting them in formats useful for modelling. First, lists of photosynthesis parameters for different species, extracted from the database, are presented. This catalogue should provide a useful resource for modellers. Second, quantitative methods (i.e. meta-analysis) are used to estimate the effects of elevated [CO 2 ] on the parameters across experiments. Different hypotheses for the effects of long-term elevated [CO 2 ] on photosynthesis are examined. This analysis aids our understanding of photosynthetic responses to elevated [CO 2 ] and suggests ways in which we can improve model formulation.Photosynthesis is a key process when stu...

show abstract

Section: Implications For Modellingmentioning

confidence: 73%

Effects of elevated [CO₂] on photosynthesis in European forest species: a meta‐analysis of model parameters

Medlyn

Badeck

Pury

et al. 1999

Plant Cell & Environment

457

404

View full text Add to dashboard Cite

show abstract

“…Some stations record other variables, including wind speed, humidity , and various components of the surface radiation balance, but the spatial coverage of such data is limited. Previous studies (Running and Coughlan, 1988;McMurtrie et al, 1992) have defined the minimum required daily meteorological variables for accurate simulations of hydrological and ecological land-surface processes, as follows: precipitation, surface air temperature, surface air humidity, and incident shortwave radiation. A model, MTCLIM (Running et al, 1987;Hungerford et al, 1989;Glassy and Running, 1994), was developed to provide daily values for these variables in complex terrain, by extrapolating daily relationships.…”

Section: Introductionmentioning

confidence: 99%

Generating surfaces of daily meteorological variables over large regions of complex terrain

Thornton

Running

White

1997

Journal of Hydrology

1,234

887

View full text Add to dashboard Cite

A method for generating daily surfaces of temperature, precipitation, humidity, and radiation over large regions of complex terrain is presented. Required inputs include digital elevation data and observations of maximum temperature, minimum temperature and precipitation from ground-based meteorological stations. Our method is based on the spatial convolution of a truncated Gaussian weighting filter with the set of station locations. Sensitivity to the typical heterogeneous distribution of stations in complex terrain is accomplished with an iterative station density algorithm. Spatially and temporally explicit empirical analyses of the relationships of temperature and precipitation to elevation were performed, and the characteristic spatial and temporal scales of these relationships were explored. A daily precipitation occurrence algorithm is introduced, as a precursor to the prediction of daily precipitation amount. Surfaces of humidity (vapor pressure deficit) are generated as a function of the predicted daily minimum temperature and the predicted daily average daylight temperature. Daily surfaces of incident solar radiation are generated as a function of Sun-slope geometry and interpolated diurnal temperature range. The application of these methods is demonstrated over an area of approximately 400000 km 2 in the northwestern USA, for I year, including a detailed illustration of the parameterization process. A cross-validation analysis was performed, comparing predicted and observed daily and annual average values. Mean absolute errors (MAE) for predicted annual average maximum and minimum temperature were 0.7°C and 1.2°C, with biases of +0. loC and -0. loC, respectively. MAE for predicted annual total precipitation was 13.4 cm, or, expressed as a percentage of the observed annual totals, 19.3%. The success rate for predictions of daily precipitation occurrence was 83.3%. Particular attention was given to the predicted and observed relationships between precipitation frequency and intensity, and they were shown to be similar. We tested the sensitivity of these methods to prediction grid-point spacing, and found that areal averages were unchanged for grids ranging in spacing from 500 m to 32 km. We tested the dependence of the results on timestep, and found that the temperature prediction algorithms scale perfectly in this respect. Temporal scaling of precipitation predictions was complicated by the daily * Corresponding author.0022-1694/97/$17.00 @ 1997-Elsevier Science B.V. All rights reserved PIl SOO22-1694(96)03128-9Journal of P.E. Thornton et al./Journal of Hydrology 190 ( 1997) 214-251 215 occurrence predictions, but very nearly the same predictions were obtained at daily and annual timesteps. @ 1997 Elsevier Science B.V.

show abstract

“…The biochemical model of leaf photosynthesis originally proposed by Farquhar et al (1980) and later improved (von Caemmerer and Farquhar, 1981;Sharkey, 1985;Harley and Sharkey, 1991) is widely used in ecophysiological research for describing CO 2 exchange processes and to scale carbon exchange from leaves to canopies (Baldocchi and Harley 1995;McMurtrie et al 1992;Whitehead et al 2004). In this model, photosynthesis is considered to be limited by the maximal rate of ribulose-1,5-bisphosphate (RuBP) carboxylase-oxygenase (Rubisco) carboxylation, V cmax , and by the maximal electron transport rate driving regeneration of RuBP, J max , and by triose phosphate utilization (TPU) (Farquhar et al 1980;von Caemmerer 2000;von Caemmerer and Farquhar 1981).…”

Section: Introductionmentioning

confidence: 99%

Mesophyll conductance constrains photosynthesis in three common sclerophyllous species in Central Chile

Brito

Bown

Fuentes

et al. 2014

Rev. Chil. de Hist. Nat.

View full text Add to dashboard Cite

Background: Quillaja saponaria Mol., Cryptocarya alba Mol. Looser, and Lithraea caustica Molina Hook et Arn., are common sclerophyllous species in Mediterranean Central Chile. Mesophyll conductance, g m , may strongly limit photosynthesis in these semiarid environments. Results: Simultaneous measurements of gas exchange and chlorophyll fluorescence were carried out in 45 nursery plants from these species to determine diffusional and biochemical limitations to photosynthesis. Values of stomatal conductance, g s , were greater than those of mesophyll conductance, g m , while their ratio (g m /g s ) was not influenced by species being on average 0.47. Relative limitations posed by mesophyll conductance to photosynthesis, L m , (0.40 ± 0.02) were high compared to those imposed by stomata, L s (0.07 ± 0.01). The average CO 2 concentration in the intercellular air spaces (C i ) was 32 μmol mol −1 lower than in the atmosphere (C a ), while the average CO 2 concentration in the chloroplasts (C c ) was 131 μmol mol −1 lower than C i independent of species. Maximal rates of Rubisco carboxylation, V cmax , and maximal electron transport rates driving regeneration of RuBP, J max , ranged from 13 to 66 μmol CO 2 m −2 s −1 and from 33 to 148 μmol electrons m −2 s −1 , respectively, and compare well to averages for C 3 plants.

show abstract

A model of canopy photosynthesis and water use incorporating a mechanistic formulation of leaf CO2 exchange

Cited by 114 publications

References 28 publications

Effects of elevated [CO₂] on photosynthesis in European forest species: a meta‐analysis of model parameters

Effects of elevated [CO₂] on photosynthesis in European forest species: a meta‐analysis of model parameters

Generating surfaces of daily meteorological variables over large regions of complex terrain

Mesophyll conductance constrains photosynthesis in three common sclerophyllous species in Central Chile

Contact Info

Product

Resources

About

A model of canopy photosynthesis and water use incorporating a mechanistic formulation of leaf CO2 exchange

Cited by 114 publications

References 28 publications

Effects of elevated [CO2] on photosynthesis in European forest species: a meta‐analysis of model parameters

Effects of elevated [CO2] on photosynthesis in European forest species: a meta‐analysis of model parameters

Generating surfaces of daily meteorological variables over large regions of complex terrain

Mesophyll conductance constrains photosynthesis in three common sclerophyllous species in Central Chile

Contact Info

Product

Resources

About

Effects of elevated [CO₂] on photosynthesis in European forest species: a meta‐analysis of model parameters

Effects of elevated [CO₂] on photosynthesis in European forest species: a meta‐analysis of model parameters