FvCB
The FvCB model (Farquhar, von Caemmerer & Berry, 1980) is a widely used framework for C3 photosynthesis. It describes net carbon assimilation An as the minimum of three potential rates — the RuBisCO-limited rate Wc, the electron-transport-limited rate Wj, and the triose-phosphate-utilisation-limited rate Wp — evaluated across a range of intercellular CO₂ (Ci).
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Assimilation vs Ci
Model Details
Review and edit the model parameters and the algebraic assignments that define its outputs.
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Generated LaTeX Code
\begin{align*}
\text{Q} &= \frac{\mathrm{PAR}}{1000000} \\
\text{C} &= \frac{\mathrm{CO_2}}{1000000} \\
\text{O} &= \frac{\mathrm{O_2}}{1000} \\
V_{qmax} &= \mathrm{CB6F} \cdot k_q \\
V_{cmax} &= \mathrm{RUB} \cdot k_c \\
R_d &= V_{cmax} \cdot R_{ds} \\
\text{S} &= \frac{k_c}{K_c} \cdot \frac{K_o}{k_o} \\
\Gamma^* &= \frac{\text{O}}{2 \cdot \text{S}} \\
\eta &= 1 - \frac{n_l}{n_c} + \frac{3 + \frac{7 \cdot \Gamma^*}{\text{C}}}{(4 + \frac{8 \cdot \Gamma^*}{\text{C}}) \cdot n_c} \\
\text{phi1P_max} &= \frac{K_{p1}}{K_{p1} + K_d + K_f} \\
\text{a2} &= \mathrm{Abs} \cdot \beta \\
\text{a1} &= \mathrm{Abs} - \text{a2} \\
\text{JP700_j} &= \frac{\text{Q} \cdot V_{qmax}}{\text{Q} + \frac{V_{qmax}}{\text{a1} \cdot \text{phi1P_max}}} \\
\text{JP680_j} &= \frac{\text{JP700_j}}{\eta} \\
\text{Vc_j} &= \frac{\text{JP680_j}}{4 \cdot (1 + \frac{2 \cdot \Gamma^*}{\text{C}})} \\
\text{Vo_j} &= \frac{\text{Vc_j} \cdot 2 \cdot \Gamma^*}{\text{C}} \\
\text{Ag_j} &= \text{Vc_j} - \frac{\text{Vo_j}}{2} \\
\text{Vc_c} &= \frac{\text{C} \cdot V_{cmax}}{\text{C} + K_c \cdot (1 + \frac{\text{O}}{K_o})} \\
\text{Vo_c} &= \frac{\text{Vc_c} \cdot 2 \cdot \Gamma^*}{\text{C}} \\
\text{Ag_c} &= \text{Vc_c} - \frac{\text{Vo_c}}{2} \\
\text{JP680_c} &= \frac{\text{Ag_c} \cdot 4 \cdot (1 + \frac{2 \cdot \Gamma^*}{\text{C}})}{1 - \frac{\Gamma^*}{\text{C}}} \\
\text{JP700_c} &= \text{JP680_c} \cdot \eta \\
\text{JP680_a} &= \min(\frac{\text{JP680_j} + \text{JP680_c} + \sqrt[2]{\max({\text{JP680_j} + \text{JP680_c}}^{2} - 4 \cdot \theta_1 \cdot \text{JP680_j} \cdot \text{JP680_c}, 0)}}{2 \cdot \theta_1}, \frac{\text{JP680_j} + \text{JP680_c} - \sqrt[2]{\max({\text{JP680_j} + \text{JP680_c}}^{2} - 4 \cdot \theta_1 \cdot \text{JP680_j} \cdot \text{JP680_c}, 0)}}{2 \cdot \theta_1}) \\
\text{JP700_a} &= \min(\frac{\text{JP700_j} + \text{JP700_c} + \sqrt[2]{\max({\text{JP700_j} + \text{JP700_c}}^{2} - 4 \cdot \theta_1 \cdot \text{JP700_j} \cdot \text{JP700_c}, 0)}}{2 \cdot \theta_1}, \frac{\text{JP700_j} + \text{JP700_c} - \sqrt[2]{\max({\text{JP700_j} + \text{JP700_c}}^{2} - 4 \cdot \theta_1 \cdot \text{JP700_j} \cdot \text{JP700_c}, 0)}}{2 \cdot \theta_1}) \\
A_g &= \begin{cases}\min(\frac{\text{Ag_j} + \text{Ag_c} + \sqrt[2]{\max({\text{Ag_j} + \text{Ag_c}}^{2} - 4 \cdot \theta_1 \cdot \text{Ag_j} \cdot \text{Ag_c}, 0)}}{2 \cdot \theta_1}, \frac{\text{Ag_j} + \text{Ag_c} - \sqrt[2]{\max({\text{Ag_j} + \text{Ag_c}}^{2} - 4 \cdot \theta_1 \cdot \text{Ag_j} \cdot \text{Ag_c}, 0)}}{2 \cdot \theta_1}) & \text{C} > \Gamma^* \\ \max(\frac{\text{Ag_j} + \text{Ag_c} + \sqrt[2]{\max({\text{Ag_j} + \text{Ag_c}}^{2} - 4 \cdot \theta_1 \cdot \text{Ag_j} \cdot \text{Ag_c}, 0)}}{2 \cdot \theta_1}, \frac{\text{Ag_j} + \text{Ag_c} - \sqrt[2]{\max({\text{Ag_j} + \text{Ag_c}}^{2} - 4 \cdot \theta_1 \cdot \text{Ag_j} \cdot \text{Ag_c}, 0)}}{2 \cdot \theta_1}) & \text{else}\end{cases} \\
A_n &= A_g - R_d \\
\text{phi1P_a0} &= \frac{\text{JP700_a}}{\text{Q} \cdot \text{a1}} \\
\text{q1_a} &= \frac{\text{phi1P_a0}}{\text{phi1P_max}} \\
\text{phi2P_a0} &= \frac{\text{JP680_a}}{\text{Q} \cdot \text{a2}} \\
\text{CB6F_a} &= \frac{\text{JP700_j}}{k_q} \\
\text{q2_a} &= \min(\max(1 - \frac{\text{CB6F_a}}{\mathrm{CB6F}}, 0), 1) \\
\text{num_kn} &= \max({K_{p2}}^{2} \cdot {\text{phi2P_a0}}^{2} - 2 \cdot {K_{p2}}^{2} \cdot \text{phi2P_a0} \cdot \text{q2_a} + {K_{p2}}^{2} \cdot {\text{q2_a}}^{2} - 4 \cdot K_{p2} \cdot K_{u2} \cdot {\text{phi2P_a0}}^{2} \cdot \text{q2_a} + 2 \cdot K_{p2} \cdot K_{u2} \cdot {\text{phi2P_a0}}^{2} + 2 \cdot K_{p2} \cdot K_{u2} \cdot \text{phi2P_a0} \cdot \text{q2_a} + {K_{u2}}^{2} \cdot {\text{phi2P_a0}}^{2}, 0) \\
K_{n2} &= \frac{\sqrt[2]{\text{num_kn}} - K_{p2} \cdot \text{phi2P_a0} + K_{u2} \cdot \text{phi2P_a0} + K_{p2} \cdot \text{q2_a}}{2 \cdot \text{phi2P_a0}} - K_f - K_{u2} - K_d \\
\text{denom2} &= K_{p2} + K_{n2} + K_d + K_f + K_{u2} \\
\text{denom2c} &= K_{n2} + K_d + K_f + K_{u2} \\
\text{phi2p_a} &= \frac{\text{q2_a} \cdot K_{p2}}{\text{denom2}} \\
\text{phi2n_a} &= \frac{\text{q2_a} \cdot K_{n2}}{\text{denom2}} + \frac{(1 - \text{q2_a}) \cdot K_{n2}}{\text{denom2c}} \\
\text{phi2d_a} &= \frac{\text{q2_a} \cdot K_d}{\text{denom2}} + \frac{(1 - \text{q2_a}) \cdot K_d}{\text{denom2c}} \\
\text{phi2f_a} &= \frac{\text{q2_a} \cdot K_f}{\text{denom2}} + \frac{(1 - \text{q2_a}) \cdot K_f}{\text{denom2c}} \\
\text{phi2u_a} &= \frac{\text{q2_a} \cdot K_{u2}}{\text{denom2}} + \frac{(1 - \text{q2_a}) \cdot K_{u2}}{\text{denom2c}} \\
\text{phi2P_a} &= \frac{\text{phi2p_a}}{1 - \text{phi2u_a}} \\
\text{phi2N_a} &= \frac{\text{phi2n_a}}{1 - \text{phi2u_a}} \\
\text{phi2D_a} &= \frac{\text{phi2d_a}}{1 - \text{phi2u_a}} \\
\text{phi2F_a} &= \frac{\text{phi2f_a}}{1 - \text{phi2u_a}} \\
\text{denom1_open} &= K_{p1} + K_d + K_f \\
\text{denom1_closed} &= K_{n1} + K_d + K_f \\
\text{phi1P_a} &= \frac{\text{q1_a} \cdot K_{p1}}{\text{denom1_open}} \\
\text{phi1N_a} &= \frac{(1 - \text{q1_a}) \cdot K_{n1}}{\text{denom1_closed}} \\
\text{phi1D_a} &= \frac{\text{q1_a} \cdot K_d}{\text{denom1_open}} + \frac{(1 - \text{q1_a}) \cdot K_d}{\text{denom1_closed}} \\
\text{phi1F_a} &= \frac{\text{q1_a} \cdot K_f}{\text{denom1_open}} + \frac{(1 - \text{q1_a}) \cdot K_f}{\text{denom1_closed}} \\
\text{Fm_a} &= \frac{\text{a2} \cdot K_f}{K_d + K_f} \cdot \epsilon_2 + \frac{\text{a1} \cdot K_f}{K_{n1} + K_d + K_f} \cdot \epsilon_1 \\
\text{Fo_a} &= \frac{\text{a2} \cdot K_f}{K_{p2} + K_d + K_f} \cdot \epsilon_2 + \frac{\text{a1} \cdot K_f}{K_{p1} + K_d + K_f} \cdot \epsilon_1 \\
\text{Fmp_a} &= \frac{\text{a2} \cdot K_f}{K_{n2} + K_d + K_f} \cdot \epsilon_2 + \frac{\text{a1} \cdot K_f}{K_{n1} + K_d + K_f} \cdot \epsilon_1 \\
\text{Fop_a} &= \frac{\text{a2} \cdot K_f}{K_{p2} + K_{n2} + K_d + K_f} \cdot \epsilon_2 + \frac{\text{a1} \cdot K_f}{K_{p1} + K_d + K_f} \cdot \epsilon_1 \\
\text{Fs_a} &= \text{a2} \cdot \text{phi2F_a} \cdot \epsilon_2 + \text{a1} \cdot \text{phi1F_a} \cdot \epsilon_1 \\
\text{PAM1_a} &= 1 - \frac{\text{Fs_a}}{\text{Fmp_a}} \\
\text{PAM2_a} &= \text{Fs_a} \cdot (\frac{1}{\text{Fmp_a}} - \frac{1}{\text{Fm_a}}) \\
\text{PAM3_a} &= \frac{\text{Fs_a}}{\text{Fm_a}} \\
\text{ETR} &= \frac{\text{Q} \cdot 0.85}{2} \cdot \text{PAM1_a} \\
\text{qP} &= \frac{\text{Fmp_a} - \text{Fs_a}}{\text{Fmp_a} - \text{Fop_a}} \\
\text{qL} &= \frac{(\text{Fmp_a} - \text{Fs_a}) \cdot \text{Fop_a}}{(\text{Fmp_a} - \text{Fop_a}) \cdot \text{Fs_a}} \\
\text{kPuddle} &= \frac{\text{ETR}}{1 - \text{qP}} \\
\text{kLake} &= \frac{\text{ETR}}{1 - \text{qL}} \\
\text{NPQ} &= \frac{\text{Fm_a}}{\text{Fmp_a}} - 1 \\
\text{active_cb6f} &= \max(\mathrm{CB6F} \cdot (1 - \text{q2_a}), 1e-12) \\
\text{k_CB6F} &= \begin{cases}k_q & \text{JP700_a} \geq \text{JP700_j} \cdot 0.999 \\ \frac{\text{JP700_a}}{\text{active_cb6f}} & \text{else}\end{cases}
\end{align*}Edit sweep
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