1) is sometimes used to empirically describe the rate of electron transport (often called J) for a change in irradiance (Buckley and Diaz-Espejo 2015). An analogous version of the non-rectangular hyperbola (Eq. Where P max (µmol CO 2 m −2 s −1) is the maximum rate of CO 2 fixation, Φ (µmol CO 2 µmol CO −1 2) the maximum quantum yield of CO 2 assimilation on an incident light basis, R d (µmol CO 2 m −2 s −1) the respiration rate measured at 0 µmol photon m −2 s −1 and Θ (dimensionless) determines the curvature of the function. 2001), which fits a non-rectangular hyperbola to the measured rates of photosynthesis ( P µmol CO 2 m −2 s −1) at set irradiances ( I µmol photon m −2 s −1): Often, LRCs are described mathematically using the following empirical model (Ögren and Evans 1993 Akhkha et al. LRCs can therefore be used to capture how photosynthetic phenotypes vary in response to changing environmental conditions. 2001 Johnson and Murchie 2011 Lobo et al. LRCs capture the photosynthetic phenotype of plants: they provide information on the maximum photosynthetic capacity, quantum yield, light compensation point and leaf radiation use efficiency (Akhka et al. Light response curves (LRCs) describe the relationship between photosynthesis and light intensity. 2010) has previously been shown to alter the metabolic processes which underpin this diel carbon distribution in plant cells (Strand et al. Dynamic acclimation of photosynthesis (Athanasiou et al. These organic compounds are either used directly during the day or are stored through the day and utilized at night to support tissue maintenance and biomass production. Photosynthesis converts inorganic carbon (CO 2) into organic carbon compounds, using light energy. Plant acclimation strategies in response to different environmental conditions include changes in photosynthesis and metabolism (Bassham 1971 Walters 2005 Heyneke and Fernie 2018 Herrmann et al. In order to optimize fitness and yield, plants acclimate to the environmental conditions to which they are exposed. We further identify that certain metabolic acclimation strategies, such as NADPH utilization, are only triggered when plants are moved beyond a threshold high or low temperature. We demonstrate how different metabolic acclimation strategies may lead to the same photosynthetic response across environmental change. We demonstrate that NADPH utilization are enhanced in warm-acclimated plants, whereas both NADPH and CO 2 utilization is enhanced in cold-acclimated plants. We use our validated metabolic model to make novel predictions about the metabolic changes of temperature acclimation.

Using a simple kinetic model, we predicted LRCs across the physiological temperature range of Arabidopsis thaliana and confirm these using experimental data. Here, we use modelling to understand the metabolic changes required for photosynthetic acclimation to changing environmental conditions. However, models describing these are predominantly empirical and do not attempt to explain behaviour at a mechanistic level. Light response curves are widely used to capture photosynthetic phenotypes in response to changing environmental conditions. They provide information on the maximum photosynthetic capacity, quantum yield, light compensation point and leaf radiation use efficiency of leaves.

Light response curves (LRCs) describe how the rate of photosynthesis varies as a function of light.

Light intensity equation exponent