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. 2016 Oct 31;113(46):E7222–E7230. doi: 10.1073/pnas.1615144113

Table 1.

Mathematical results

Case Optimization Variable conductivity? Carbon cost increases as ψL decreases? β(ψL)= MXTE
1 CMH N N NA NA
2 CMH Y N NA NA
3 CMH N Y KmaxΘ(ψL) Θ(ψL)
4 CMH Y Y K(ψL)Θ(ψL) Θ(ψL)
5 WUEH N N λ(1/2) λKmax
6 WUEH Y N λ(1/2) λK(ψL)
7 WUEH N Y KmaxλKmaxΘ(ψL) λKmaxΘ(ψL)
8 WUEH Y Y K(ψL)λK(ψL)Θ(ψL) λK(ψL)Θ(ψL)

Optimization column: CMH means net carbon gain maximization; WUEH means the constant marginal water use efficiency hypothesis. Variable conductivity column: Y means that K(ψL) decreases with ψL (empirically as a Weibull function); N means that K(ψL) is equal to the constant Kmax. Carbon cost Increases as ψL decreases column: Y means that the derivative of the cost function Θ(ψL) increases as ψL decreases, which implies that the cost function itself is concave-up; N means that the cost function is constant (or zero) so that its derivative is zero. β(ψL) = column: The optimal stomatal conductance (gsopt) in cases 3–8 is approximately proportional to ANβ(ψL)saturationdeficitCaΓ in the special case in which TLTa and photosynthesis is carbon or light limited (see text). Recall that β(ψL) is the stomatal sensitivity to leaf water potential. NA means “not applicable” because there is no internal optimum in cases 1 and 2. Instead, stomates are predicted to be always wide open in these cases. MXTE column: The MXTE is defined as MXTE=ANgs/ψLgs.