资源环境科技发展态势分析平台

Soil moisture and evapotranspiration (ET) are important components of boreal forest hydrology that affect ecological processes and land-atmosphere feedbacks. Future trends in soil moisture in particular are uncertain. Therefore, accurate modeling of these dynamics and understanding of concomitant sources of uncertainty are critical. Here, we conduct a global sensitivity analysis, Monte Carlo parameterization, and analysis of parameter uncertainty and its contribution to future soil moisture and ET uncertainty using a physically-based ecohydrologic model in multiple boreal forest types. Soil and plant hydraulic parameters and LAI have the largest effects on simulated summer soil moisture at two contrasting sites. In future scenario simulations, the selection of parameters and global climate model (GCM) choice between two GCMs influence projected changes in soil moisture and evapotranspiration about as much as the projected effects of climate change in the less sensitive GCM with a late-century, high-emissions scenario, though the relative effects of parameters, GCM, and climate vary among hydrologic variables and study sites. Saturated volumetric water content and sensitivity of stomatal conductance to vapor pressure deficit have the most statistically significant effects on change in evapotranspiration and soil moisture, though there is considerable variability between sites and GCMs. The results of this study provide estimates of: (1) parameter importance and statistical significance for soil moisture modeling, (2) parameter values for physically-based soil-vegetation-atmosphere transfer models in multiple boreal forest types, and (3) the contributions of uncertainty in these parameters to soil moisture and evapotranspiration uncertainty in future climates.