The occurrence of dried soil layer (DSL) threatens the sustainable development of restored ecosystems in the Loess Plateau of China. Knowledge of the regional spatiotemporal characteristics of DSL in water-deficient regions is critical for optimal water management and vegetation restoration. This study assessed regional temporal persistence of DSL using Spearman's rank correlation coefficient (r(s)) and relative difference (RD) analyses and determined the dominant driving factors. Two DSL evaluation indices [DSL thickness (DSLT) and DSL soil water content (DSL-SWC)] were calculated by measuring volumetric SWC of the 0-500 cm soil layer at 86 locations along a south-north regional transect of the Loess Plateau in 2013-2014. Based on the study, there was DSL formation at most of the sites (61 out of 86 sites) along the transect. The level of DSL was severe, with mean DSLT of 273 cm and mean DSL-SWC of only 10.8% (v/v) [field capacity (FC) = 22.5% (v/v)]. Mean DSL-SWC generally decreased from south to north, while no obvious trend was noted in DSLT along the transect. Derived r(s) values indicated a good temporal persistence of spatial patterns of DSL. Also RD analysis showed that DSL with thicker DSLT and/or lower DSL-SWC had much stronger temporal persistence, implying higher possibility for the formation of permanent DSL. The representative locations of each DSL index well represented the regional means of DSLT and DSL-SWC. This suggested that there was the feasibility of directly estimating regional patterns of DSL from theoretical temporal stability. The temporal persistence of DSL patterns was mainly controlled by soil texture, soil organic carbon, field capacity, mean annual precipitation, precipitation seasonal distribution (PSD) and mean annual temperature. We concluded that soil- and climate-related factors dominated regional temporal persistence of DSL. Lower soil water holding capacity, fewer rainfall and more concentrated PSD could intensify the formation and/or development of permanent DSL in the Loess Plateau. This is especially true under worsening global climate change conditions. (C) 2015 Elsevier B.V. All rights reserved.