2016
DOI: 10.1002/2015wr017983
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Persistence and memory timescales in root‐zone soil moisture dynamics

Abstract: Abstract.The memory timescale that characterizes root-zone soil mois-

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Cited by 79 publications
(92 citation statements)
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“…In an alternative scenario, trees conserve their reliance on winter precipitation, which we refer to as the persistence scenario, and seems to be consistent with the ubiquitous use of winter precipitation as described by Allen et al (). To study these dynamics, decadal length datasets of plant water use are needed because many of the relevant subsurface processes such as residence time of deep water pools (Ghannam et al, ) and the turnover time of fine roots (Matamala et al, ) have multi‐annual timescales. Therefore, the ecohydrological response time and/or adjustment to change may lag the forcing and persist for years after the stressor has been removed.…”
Section: Introductionmentioning
confidence: 99%
“…In an alternative scenario, trees conserve their reliance on winter precipitation, which we refer to as the persistence scenario, and seems to be consistent with the ubiquitous use of winter precipitation as described by Allen et al (). To study these dynamics, decadal length datasets of plant water use are needed because many of the relevant subsurface processes such as residence time of deep water pools (Ghannam et al, ) and the turnover time of fine roots (Matamala et al, ) have multi‐annual timescales. Therefore, the ecohydrological response time and/or adjustment to change may lag the forcing and persist for years after the stressor has been removed.…”
Section: Introductionmentioning
confidence: 99%
“…In a planar homogeneous soil volume, its dynamics are governed by the vertically integrated water budget: Δznormaldθnormaldt=P(t)L(θ,t)=P(t)(D(θ,t)+ET(θ,t)+Q(θ,t)), where θ is volumetric soil moisture (−), t is time (T), Δ z is the depth of the soil volume below the surface (L), P ( t ) is the precipitation rate (L T −1 ), and L ( t ) is the rate at which water is lost from the volume due to runoff ( Q ( θ , t )), drainage ( D ( θ , t )), and evapotranspiration ( E T ( θ , t )) (L T −1 ). It is natural to combine these fluxes into the single function L since they are quasi‐deterministic characteristics of the land surface [ Delworth and Manabe , ; Ghannam et al , ], compared to precipitation, which is an exogenous forcing and often modeled stochastically.…”
Section: Introductionmentioning
confidence: 99%
“…In addition to the effects of global warming, loss in vegetation cover in some regions produces changes that affect the partition of energy and water fluxes at the surface. Such alterations affect the capacity to assimilate atmospheric CO 2 and the capacity to intercept and store moisture in land surface reservoirs, leading to decreases in availability of water for human and ecosystem uses (Acharya, Halihan, Zou, & Will, ; Ghannam et al, ; Kim & Jackson, ; McColl et al, ; Winter, Harvey, Franke, & Alley, ). This phenomenon can be particularly dramatic in tropical ecosystems and has been documented to occur in a variety of locations worldwide (Allen et al, ; Chazdon, Brenes, & Alvarado, ; Condit, Hubbell, & Foster, ; Khan, Rodgers, Johnsingh, & Mathur, ; Laurance et al, ; Leigh, Windsor, Rand, & Foster, ; Lwanga, ; Phillips et al, ; Rolim, Jesus, Nascimento, do Couto, & Chambers, ; Williamson et al, ).…”
Section: Introductionmentioning
confidence: 99%