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Ecohydrologic Dynamics of Rock Moisture in a Montane Catchment of the Colorado Front Range


Abstract Warming across the western United States continues to reduce snowpack, lengthen growing seasons, and increase atmospheric demand, leading to uncertainty about moisture availability in montane forests. As many upland forests have thin soils and extensive rooting into weathered bedrock, deep vadose‐zone water may be a critical late‐season water source for vegetation and mitigate forest water stress. A key impediment to understanding the role of the deep vadose zone as a reservoir is quantifying the plant‐available water held there. We quantify the spatiotemporal dynamics of rock moisture held in the deep vadose zone in a montane catchment of the Rocky Mountains. Direct measurements of rock moisture were accompanied by monitoring of precipitation, transpiration, soil moisture, leaf‐water potentials, and groundwater. Using repeat nuclear magnetic resonance and neutron‐probe measurements, we found depletion of rock moisture among all our monitored plots. The magnitude of growing season depletion in rock moisture mirrored above‐ground vegetation density and transpiration, and depleted rock moisture was from ∼0.3 to 5 m below ground surface. Estimates of storage indicated weathered rock stored at least 4%–12% of mean annual precipitation. Persistent transpiration and discrepancies between estimated soil matric potentials and leaf‐water potentials suggest rock moisture may mitigate drought stress. These findings provide some of the first measurements of rock moisture use in the Rocky Mountains and indicated rock moisture use is not just confined to periods of drought or Mediterranean climates.
Authors Ethan Burns ORCID , Daniella Rempe ORCID , Andrew D. Parsekian University of WyomingORCID , Logan Schmidt ORCID , Kamini Singha ORCID , Holly Barnard ORCID
Journal Info Wiley-Blackwell | Water Resources Research , vol: 59 , iss: 6
Publication Date 6/1/2023
ISSN 0043-1397
TypeKeyword Image article
Open Access closed Closed Access
DOI https://doi.org/10.1029/2022wr034117
KeywordsKeyword Image Temperature Variability (Score: 0.48993)