2019
DOI: 10.1126/sciadv.aau6635
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Decadal-scale shifts in soil hydraulic properties as induced by altered precipitation

Abstract: Soil hydraulic properties influence the partitioning of rainfall into infiltration versus runoff, determine plant-available water, and constrain evapotranspiration. Although rapid changes in soil hydraulic properties from direct human disturbance are well documented, climate change may also induce such shifts on decadal time scales. Using soils from a 25-year precipitation manipulation experiment, we found that a 35% increase in water inputs substantially reduced infiltration rates and modestly increased water… Show more

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Cited by 49 publications
(25 citation statements)
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“…All irrigation water was applied between 05:00 and 13:00 to minimize loss from evapotranspiration and to avoid heavy winds. On average, irrigation increased annual water inputs by ~32% compared with ambient precipitation in control plots (Caplan et al, 2019). During the current study period, irrigated plots received 27% more precipitation than control plots in 2017 and 2018 (when annual precipitation inputs were 724 and 811 mm, respectively, and long water deficits developed throughout the growing season [Figure S2]), but only 13% more precipitation in 2019, as this was a naturally high precipitation year (1131 mm total; Table S1).…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…All irrigation water was applied between 05:00 and 13:00 to minimize loss from evapotranspiration and to avoid heavy winds. On average, irrigation increased annual water inputs by ~32% compared with ambient precipitation in control plots (Caplan et al, 2019). During the current study period, irrigated plots received 27% more precipitation than control plots in 2017 and 2018 (when annual precipitation inputs were 724 and 811 mm, respectively, and long water deficits developed throughout the growing season [Figure S2]), but only 13% more precipitation in 2019, as this was a naturally high precipitation year (1131 mm total; Table S1).…”
Section: Methodsmentioning
confidence: 99%
“…In this study, we used a long‐term irrigation experiment that simulated a wetter climate starting in 1991, and in 2017 we implemented new treatments in plots with contrasting precipitation legacies to assess how historic and current precipitation regimes shape carbon cycling in a tallgrass prairie landscape. Irrigation in this experiment increased annual precipitation (1991–2016) by an average of ~32% across a topoedaphic gradient that spans upland and lowland annually burned prairie (Caplan et al, 2019). While initial functional responses (e.g., ANPP) to added water were modest, after ~10 years a species reordering within the C 4 grass functional group was associated with a 64% increase in ANPP (Collins et al, 2012; Knapp et al, 2012).…”
Section: Introductionmentioning
confidence: 96%
“…At longer time scales, changes in rooting depth and subsurface structure can reduce or amplify rates of channel incision, alter the depths of groundwater tables, and dictate the evolution of catchment geomorphology (Brantley, Lebedeva, et al, 2017; Harman & Cosans, 2019; Rempe & Dietrich, 2014; Riebe, Hahm, & Brantley, 2017; Sullivan et al, 2016). There is mounting evidence that these changes, once thought to occur at the time scales of centuries to millennia, are now occurring at much shorter time scales (months, years, or decades) (Caplan et al, 2019; Hirmas et al, 2018; Robinson et al, 2019). This is particularly the case for carbonate and shale, which underlie about 20 and 25% of Earth's land area, respectively (Martin, 2017; Suchet, Probst, & Ludwig, 2003) and are highly responsive to changes in environmental conditions (Beaulieu, Godderis, Donnadieu, Labat, & Roelandt, 2012; Gaillardet, Calmels, Romero‐Mujalli, Zakharova, & Hartmann, 2019; Sullivan et al, 2019).…”
Section: Introductionmentioning
confidence: 99%
“…Correlations between digital image analysis and visual sand incorporation ratings were analyzed using Statistical Analysis System software v. 9.3 (SAS Institute Inc.), and coefficient of determination (r 2 ) and p values are reported. Water infiltration data were analyzed similar to Caplan et al (2019). The voltage readings recorded every 3 s from the differential transducers were converted to depth of water in the infiltrometers using laboratory transducer calibrations to calculate the amount of water that infiltrated into soil (cumulative infiltration, cm).…”
Section: Data Analysesmentioning
confidence: 99%