Data for "In-situ quantification and prediction of water yield from southern US pine forests"

These data are the source materials for estimation of water yield from coastal plain pine forests. We used the daily integration of soil moisture through the root zone to quantify soil evapotranspiration, and the dynamics of shallow soil moisture responses to rainfall to estimate interception (see Acharya et al. 2020 in HESS). Together these quantify the total loss of water from the system, which is subtracted from rainfall to estimate water yield. The paper then explores the controls on these processes at the stand level, and develops simple predictive models for estimating water yield from hydroclimatic, geologic, and forest structural attributes. The source data include interception estimates for each plot (n = 30 across Florida), total soil moisture dynamics across sites, the imputed values of soil ET, and the resulting annual estimates of water yield, along with site attributes, from which all figures in the paper were constructed. Further details about 4-year time series of soil moisture with depth (15 min frequency with 5-6 sensors per bank, 3 banks per plot, 30 plots) can be obtained from the authors.