Abstract. Stomatal regulation and whole plant hydraulic signaling affect water fluxes and stress in plants. Land surface models and crop models use a coupled photosynthesis–stomatal conductance modeling approach. Those models
estimate the effect of soil water stress on stomatal conductance directly
from soil water content or soil hydraulic potential without explicit
representation of hydraulic signals between the soil and stomata. In order
to explicitly represent stomatal regulation by soil water status as a
function of the hydraulic signal and its relation to the whole plant
hydraulic conductance, we coupled the crop model LINTULCC2 and the root
growth model SLIMROOT with Couvreur's root water uptake model (RWU) and the HILLFLOW soil water balance model. Since plant hydraulic conductance depends on the plant development, this model coupling represents a two-way coupling between growth and plant hydraulics. To evaluate the advantage of
considering plant hydraulic conductance and hydraulic signaling, we compared the performance of this newly coupled model with another commonly used approach that relates root water uptake and plant stress directly to the root zone water hydraulic potential (HILLFLOW with Feddes' RWU model).
Simulations were compared with gas flux measurements and crop growth data
from a wheat crop grown under three water supply regimes (sheltered,
rainfed, and irrigated) and two soil types (stony and silty) in western
Germany in 2016. The two models showed a relatively similar performance in
the simulation of dry matter, leaf area index (LAI), root growth, RWU, gross assimilation rate,
and soil water content. The Feddes model predicts more stress and less
growth in the silty soil than in the stony soil, which is opposite to the
observed growth. The Couvreur model better represents the difference in
growth between the two soils and the different treatments. The newly coupled model (HILLFLOW–Couvreur's RWU–SLIMROOT–LINTULCC2) was also able to simulate the dynamics and magnitude of whole plant hydraulic conductance
over the growing season. This demonstrates the importance of two-way
feedbacks between growth and root water uptake for predicting the crop
response to different soil water conditions in different soils. Our results
suggest that a better representation of the effects of soil characteristics
on root growth is needed for reliable estimations of root hydraulic
conductance and gas fluxes, particularly in heterogeneous fields. The newly
coupled soil–plant model marks a promising approach but requires further
testing for other scenarios regarding crops, soil, and climate.