Quantifying Light Response of Leaf-Scale Water-Use Efficiency and Its Interrelationships With Photosynthesis and Stomatal Conductance in C3 and C4 Species

• Main Authors: Zi-Piao Ye, Yu Ling, Qiang Yu, Hong-Lang Duan, Hua-Jing Kang, Guo-Min Huang, Shi-Hua Duan, Xian-Mao Chen, Yu-Guo Liu, Shuang-Xi Zhou
• Format: Article
• Language: English
• Published: Frontiers Media S.A. 2020-04-01
• Series: Frontiers in Plant Science
• Subjects: irradiance; leaf gas exchange; light response curve; maximum water use efficiency; model; plant functional type (PFT)
• Online Access: https://www.frontiersin.org/article/10.3389/fpls.2020.00374/full

Light intensity (I) is the most dynamic and significant environmental variable affecting photosynthesis (An), stomatal conductance (gs), transpiration (Tr), and water-use efficiency (WUE). Currently, studies characterizing leaf-scale WUE–I responses are rare and key questions have not been answered. In particular, (1) What shape does the response function take? (2) Are there maximum intrinsic (WUEi; WUEi–max) and instantaneous WUE (WUEinst; WUEinst–max) at the corresponding saturation irradiances (Ii–sat and Iinst–sat)? This study developed WUEi–I and WUEinst–I models sharing the same non-asymptotic function with previously published An–I and gs–I models. Observation-modeling intercomparison was conducted for field-grown plants of soybean (C3) and grain amaranth (C4) to assess the robustness of our models versus the non-rectangular hyperbola models (NH models). Both types of models can reproduce WUE–I curves well over light-limited range. However, at light-saturated range, NH models overestimated WUEi–max and WUEinst–max and cannot return Ii–sat and Iinst–sat due to its asymptotic function. Moreover, NH models cannot describe the down-regulation of WUE induced by high light, on which our models described well. The results showed that WUEi and WUEinst increased rapidly within low range of I, driven by uncoupled photosynthesis and stomatal responsiveness. Initial response rapidity of WUEi was higher than WUEinst because the greatest increase of An and Tr occurred at low gs. C4 species showed higher WUEi–max and WUEinst–max than C3 species—at similar Ii–sat and Iinst–sat. Our intercomparison highlighted larger discrepancy between WUEi–I and WUEinst–I responses in C3 than C4 species, quantitatively characterizing an important advantage of C4 photosynthetic pathway—higher An gain but lower Tr cost per unit of gs change. Our models can accurately return the wealth of key quantities defining species-specific WUE–I responses—besides An–I and gs–I responses. The key advantage is its robustness in characterizing these entangled responses over a wide I range from light-limited to light-inhibitory light intensities, through adopting the same analytical framework and the explicit and consistent definitions on these responses. Our models are of significance for physiologists and modelers—and also for breeders screening for genotypes concurrently achieving maximized photosynthesis and optimized WUE.