## 2 Materials and Methods
### DIMONA Platform and Model
#### 2.1.2. DIMONA Process-Based (PB) Model
The effects of \(T_{L}\) on \(A\) through \(A_{C}\) or \(A_{J}\) and on \(R_{d}\) are determined by \(T_{a}\) (Equations (S1.1.3.1) and (S1.1.3.7)), RH through \(D_{VP}\) (Equations (S1.1.3.1), (S1.1.4.4) and (S1.1.4.6)) and \(v_{w}\) (Equations (S1.1.3.1), (S1.1.3.5) and (S1.1.3.6)) via \(T_{L}\) (Equation (S1.1.3.1)). \(c_{x}\) (Equation (S1.1.5.1)) depends on leaves' boundary layer conductance, \(g_{b}\) (Equation (S1.1.5.2)), and hence on \(v_{w}\) (Equation (S1.1.5.3)) and stomatal conductance, \(g_{s}\), which depends on RH (Equation (S1.1.5.5)) through the Ball-Berry method or \(D_{VP}\) via RH (Equation (S1.1.5.6)) through the Leuning method. Both \(g_{b}\) and ambient \(g_{s}\) for CO\({}_{2}\) and water vapor exchange (Equations (S1.1.5.7) and (S1.1.5.8)) are modelled at the canopy level. Thus, primary stomatal control is modelled through the feedback loop between \(c_{x}\) determining \(g_{s}\) by \(A\) via \(A_{C}\) or \(A_{J}\) (Equations (S1.1.1.1), (S1.1.5.5) and (S1.1.5.6)) and \(g_{s}\) determining \(c_{x}\) (Equation (S1.1.5.1)), and secondary stomatal control is modelled through RH or \(D_{VP}\) via RH (Equations (S1.1.5.5) and (S1.1.5.6)). The effect of plant water status (Equation (S1.1.1.6)) represents the non-stomatal control on photosynthesis and is expressed as the product of the effect of atmospheric water demand, which manifests through adaptations liketicular conductance/resistance and depends on RH via \(D_{VP}\) (Equations (S1.1.4.2), (S1.1.4.3), (S1.1.4.4) and (S1.1.4.6)) and the ambient effect of soil water availability on photosynthesis, \(f_{P}\), which is driven by soil water availability, \(f_{GW}\) (Equations (S1.1.4.1), (S4.1.1.1) and (S4.4.1.1)) (Section Water Control on Plant Processes). With bryophytes, the ambient photosynthetic rate, \(A_{b}\), is constrained by the maximum photosynthetic rate, \(A_{max,b}\), and driven by \(I_{swr}\), as well as \(T_{a}\), RH, and \(v_{w}\) via \(T_{L}\) in a rectangular hyperbola (Equation (S1.2.1.1)). \(A_{max,b}\) is explicitly related to RH via a linear regression (Equation (S1.2.3.1)), thereby reflecting the sensitivity of bryophyte photosynthesis to the humidity of the surrounding air. Bryophyte foliar respiration, \(R_{d}\) (Equation (S1.2.4.1)), is proportional to \(A_{max,b}\) and is controlled by \(T_{a}\), \(v_{w}\), and especially RH. The control of soil hydrology is exerted via bryophyte growth (Section Water Control on Plant Processes). Plant Productivity, Growth, and Nutrient Uptake  
_The DIMONA_ PB model has a full suite of plant and soil biogeochemistry, tracking pools for key nutrients. For each plant species, the model simulates its vascular or bryophyte GPP (Equations (S2.1.1.1) and (S2.1.1.2)) controlled by nitrogen (N) and phosphorus (P) nutrient availability in leaves and the effect of soil water and air availability on vascular growth, \(f_{0}\) (Section Water Control on Plant Processes). Furthermore, for each plant species, _DIMONA_ PB simulates LAI (Equation (S2.1.1.3)) and net primary productivity, \(\mathrm{NPP}=\mathrm{GPP}-R_{a}\) (Equation (S2.1.28)), where \(R_{a}\) is plant autotrophic respiration, such as \(R_{a}=R_{i}+R_{b}+R_{r}\) (Equations (S2.1.2.1) and (S2.1.2.3)), and \(R_{l}\) (Equations (S2.1.2.2) and (S2.1.2.6)), \(R_{b}\) (Equations (S2.1.2.4) and (S2.1.27)), and \(R_{r}\) (Equation (S2.1.2.5)) are, respectively, the leaf respiration, stem respiration (with branches), and root/rhizoid respiration hydrology constrained by the combined effect of air availability to roots/rhizoids due to soil water and plant adaptations to wetland soil conditions, \(f_{R}\) (Section Water Control on Plant Processes).