Coupled carbon and water fluxes in CAM photosynthesis: modeling quantification of water use efficiency and productivity
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Background and Aims
Due to their high water use efficiency, Crassulacean acid metabolism (CAM) plants are of environmental and economic importance in the arid and semiarid regions of the world. Moreover, many CAM plants (e.g., Agave tequilana) have attractive qualities for biofuel production such as a relatively low lignin content and high amount of soluble carbohydrates. However, the current estimates of CAM productivity are based on empirical stress indices that create large uncertainties. As a first step towards a more accurate quantification of CAM productivity, this paper introduces a new model that couples both soil and atmosphere conditions to CAM photosynthesis.
The new CAM model is based upon well established C3 photosynthesis models coupled to a nonlinear circadian rhythm oscillator for the control of the photosynthesis carbon fluxes. The leaf-level dynamics are coupled to a simple, yet realistic description of the soil-plant-atmosphere continuum, including a plant water capacitance module.
The resulting model reproduces the four phases of CAM photosynthes is and the evolution of their dynamics during a soil moisture drydown, as a function of soil type, plant features, and climatic conditions.
The results help quantify the impact of soil water availability on CAM carbon assimilation and transpiration flux.
KeywordsCrassulacean acid metabolism (CAM) Carbon assimilation Soil moisture Water stress Circadian rhythm oscillator Plant water capacitance
This work was partially funded through the Agriculture and Food Research Initiative of the USDA National Institute of Food and Agriculture (2011-67003-30222); the National Science Foundation through grants CBET-1033467, EAR-1331846, and EAR-1316258; and by the U.S. Department of Energy (DOE) through the Office of Biological and Environmental Research (BER) Terrestrial Carbon Processes Program (DE-SC0006967). G. Vico acknowledges the support of “AgResource - Resource Allocation in Agriculture”, from the Faculty of Natural Resources and Agricultural Sciences, Swedish University of Agricultural Sciences. The comments and suggestions of the two anonymous reviewers are also gratefully acknowledged. The Wolfram Mathematica code for this CAM model is available upon request.
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