摘要：Core Ideas A novel coupled inversion algorithm estimated soil and root parameters. Electrical resistivity data were used to identify root and soil hydraulic properties. A unique root distribution was estimated despite input error and data density. This noninvasive technique can capture root dynamics in a variety of settings. Plot‐ to field‐scale root distribution data are relatively rare and difficult to measure with traditional methods. Nevertheless, these data are needed to accurately model root water uptake (RWU) processes within agronomic, hydrologic, and terrestrial biosphere models. New tools are needed to effectively observe root distributions and model dynamic root growth processes. In the past decade, geophysical tools have increasingly been used to study the vadose zone, and hydrogeophysical inversions have shown promise to noninvasively characterize water dynamics. In such an approach, the hydrology is modeled and hydrological data are inverted with the geophysical data, constraining the geophysical inversion results and decreasing uncertainty and the number of nonunique solutions. In this study, we developed and tested a coupled hydrogeophysical inversion approach that uses electrical resistivity data to estimate soil hydraulic, petrophysical, and root dynamic parameters. This builds on prior research that used either a coupled hydrogeophysical inversion to estimate soil hydraulic parameters only, or a hydrological inversion to estimate root distribution or root water uptake parameters. Our results indicate that under the conditions tested, this approach accurately captures root water dynamics and soil hydraulic parameters. This opens up opportunities to noninvasively image a variety of root distributions and soil systems, better understand the dynamics of RWU processes, and improve estimates of transpiration for systems models.
关键词：DD; data density; ER; electrical resistivity; PP; petrophysical parameters; MRD; maximum rooting depth; RP; root parameters; RWU; root water uptake; SC; site characterization; SHP; soil hydraulic parameters.
