2020
DOI: 10.1002/hyp.13666
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Simulation and statistical modelling approaches to investigate hydrologic regime transformations following Eastern hemlock decline

Abstract: Ecohydrological processes occurring at or near the Earth's surface are strongly influenced by Eastern hemlock [EH; Tsuga canadensis (L.) Carrière], a foundation tree species of eastern North American forests. EH populations are currently threatened by the invasive hemlock woolly adelgid (HWA; Adelges tsugae Annand). HWA HWA populations have been expanding rapidly throughout the EH's range. Catchmentscale research examining the hydrological consequences of HWA infestation is lacking, and plot-scale studies rema… Show more

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Cited by 5 publications
(7 citation statements)
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“…The initial abstraction parameter, Se MIN , suggested greater abstractions in SR than DR catchments (Figure 2c; p value = 0.12) possibly indicating increased canopy interception. Several parameters controlling baseflow recession (A1 and B1) and surface runoff (C1, I a , and PI) suggest MS catchments generated less runoff and faster gravity driven baseflow return than SR (Figure 2), possibly indicating forest cover influences on infiltration and subsurface water transport as described in Filoso et al (2017) and Singh et al (2019).…”
Section: Ecohydrologic Parameter Estimationmentioning
confidence: 97%
See 1 more Smart Citation
“…The initial abstraction parameter, Se MIN , suggested greater abstractions in SR than DR catchments (Figure 2c; p value = 0.12) possibly indicating increased canopy interception. Several parameters controlling baseflow recession (A1 and B1) and surface runoff (C1, I a , and PI) suggest MS catchments generated less runoff and faster gravity driven baseflow return than SR (Figure 2), possibly indicating forest cover influences on infiltration and subsurface water transport as described in Filoso et al (2017) and Singh et al (2019).…”
Section: Ecohydrologic Parameter Estimationmentioning
confidence: 97%
“…We simulated daily discharge, soil moisture, snowpack water equivalent, and groundwater storage with a modified version of JoFlo, the lumped model of Archibald et al (2014). This model has previously been applied to evaluate broad patterns of surface runoff (Knighton, Pleiss, et al, 2019) and forest cover change (Singh et al, 2019) across CONUS, as well as in catchment-scale studies of stable water isotope dynamics (Knighton et al, 2017) and nutrient transport (Georgakakos et al, 2018).…”
Section: Rwu Parameter Estimationmentioning
confidence: 99%
“…Measurements of isotopes in soils and xylem in the HH (Figure 3) and hydrologic modelling suggest that forest species composition change following a loss of hemlock and succession by hardwood tree species (e.g., beech) could lead to a drastically altered hydrologic state, characterised by reduced summer transpiration, increased groundwater storage, and elevated discharge extremes (Knighton, Conneely, & Walter, 2019). Regional observations of hemlock loss have yielded similar conclusions (Kim et al, 2017; Singh, Knighton, Whitmore, Walter, & Lassoie, 2020) indicating that continued monitoring is necessary to better understand the future hazards.…”
Section: Site Description and Research Findingsmentioning
confidence: 71%
“…Regional observations of hemlock loss have yielded similar conclusions (e.g. Kim et al 2017; Singh et al, 2020) indicating that continued monitoring is necessary to better understand the future hazards.…”
mentioning
confidence: 70%
“…The catchment has been monitored since 2017 for the purpose of understanding how hydrologic conditions will respond to warming air temperatures, changing precipitation patterns, and shifting forest ecology. Hydrologic observations within HH have helped us understand: how changes in forest tree composition could influence discharge regimes across the Northeast US (Knighton et al, 2019a), how ephemeral periods of thawing soils and snowmelt in spring might accelerate "old" soil water through the HH critical zone (Knighton et al, 2019b), and how we can better represent above-ground tree-water storage in ecohydrologic models (Knighton et al, 2019b;2020).…”
mentioning
confidence: 99%