Drivers of regional soil water storage memory and persistence

作者：Elin M. Jacobs, Leonardo Bertassello, P. Suresh C. Rao · 发表于：Vadose Zone Journal · 年份：2020 · DOI：10.1002/vzj2.20050 · 被引用次数：16 · 研究领域：Soil Moisture and Remote Sensing、Plant Water Relations and Carbon Dynamics、Hydrology and Watershed Management Studies

Abstract Soil water storage dynamics link landscape and climate processes with consequent impacts on hydrologic and biogeochemical cycles, and on ecosystem functions. We explore regional‐scale, spatiotemporal dynamics of root‐zone soil water storage using spatially explicit, long‐term simulations from a land data assimilation system over an area of ∼2 million km 2 in the U.S. Midwest. We synthesize the dataset to examine spatial patterns of hydroclimatic forcing and soil and vegetation properties to identify the key drivers of soil water storage across the region. To identify differences in temporal hydrologic variability between sites with different soil and vegetation characteristics, we focus on daily data from 10 locations, representative of three major land cover types in the region. We use the concepts of (a) soil water memory to evaluate differences in landscape buffering of rainfall and (b) persistence to evaluate the threshold‐crossing properties of statistically defined “wet” and “dry” soil water conditions. Power spectral analyses of soil water storage reveal that regionally consistent patterns emerge in memory at multiple temporal scales. Threshold‐crossing analyses reveal corresponding similarity in persistence between sites. The analyses show that stochastic rainfall is the key driver of landscape hydrologic dynamics, with rainfall frequency as the primary determinant of persistence across the region, whereas differences in land cover and soil properties across ...