2012
DOI: 10.1002/eco.1300
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Testing transpiration controls by quantifying spatial variability along a boreal black spruce forest drainage gradient

Abstract: One of the biggest challenges in predicting ecohydrologic fluxes is scaling from easily measured variables to more difficult, often emergent patterns and processes. This is especially true in spatially heterogeneous systems such as black spruce (Picea mariana)‐dominated boreal forests containing excessive and low soil moisture conditions. Traditional hypotheses suggest that transpiration is controlled by hydraulic responses to vapor pressure deficit (D) and soil moisture; however, these may potentially be misi… Show more

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Cited by 17 publications
(25 citation statements)
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References 91 publications
(172 reference statements)
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“…Such low water use is in accordance with the low productivity and slow growth rates of black spruce at the study site (e.g., following Sniderhan & Baltzer, , at Scotty Creek, a black spruce individual with DBH of ~8 cm is expected to have an average age of ~100 years). In addition, comparable values of J S have been reported for black spruce growing in nutrient‐poor peat soils within the southern boreal forest of western Canada (Angstmann, Ewers, Barber, & Kwon, ; Pappas et al, under review). In contrast, J S reported for smaller‐diameter black spruce growing in mineral soils was about 10 times higher (Ewers et al, ; Van Herk et al, ).…”
Section: Resultssupporting
confidence: 67%
See 1 more Smart Citation
“…Such low water use is in accordance with the low productivity and slow growth rates of black spruce at the study site (e.g., following Sniderhan & Baltzer, , at Scotty Creek, a black spruce individual with DBH of ~8 cm is expected to have an average age of ~100 years). In addition, comparable values of J S have been reported for black spruce growing in nutrient‐poor peat soils within the southern boreal forest of western Canada (Angstmann, Ewers, Barber, & Kwon, ; Pappas et al, under review). In contrast, J S reported for smaller‐diameter black spruce growing in mineral soils was about 10 times higher (Ewers et al, ; Van Herk et al, ).…”
Section: Resultssupporting
confidence: 67%
“…In contrast, J S reported for smaller‐diameter black spruce growing in mineral soils was about 10 times higher (Ewers et al, ; Van Herk et al, ). This difference may be due to a number of environmental factors controlling the magnitude of J S , including tree structure (Angstmann et al, ; Ewers et al, ), moisture gradients (Angstmann et al, ; Bovard, Curtis, Vogel, Su, & Schmid, ; Oren & Pataki, ), soil nutrients, and presence or absence of permafrost (Iijima et al, ; Patankar et al, ). In particular, Scotty Creek has the lowest overstorey LAI and canopy height among the reported studies in Table and is additionally underlain by nutrient‐poor peat soils.…”
Section: Resultsmentioning
confidence: 99%
“…The present study adds yet another dimension to the plantation landscape by suggesting that topography and flooding are also strong factors influencing the heterogeneity of landscape-level transpiration patterns. Likewise, studies investigating upland-to-wetland gradients in North-America also found pronounced differences in tree transpiration and it was concluded that it is necessary to include sites at different topographic positions for landscape-level analyses or modeling (Loranty et al, 2008; Mackay et al, 2010; Angstmann et al, 2012). In our case, we found only moderate variation in oil palm water use across space and time, whereas rubber responded strongly to topographic position and temporal flooding.…”
Section: Discussionmentioning
confidence: 99%
“…In North-America, upland-to-wetland gradients were analyzed by means of sap flux measurements in order to evaluate the significance of site conditions for tree and stand transpiration (Loranty et al, 2008; Mackay et al, 2010; Angstmann et al, 2012). Pronounced differences in tree transpiration were observed among sites and it was concluded that it is necessary to include plots at different topographic positions for landscape-level analyses or modeling of transpiration.…”
Section: Introductionmentioning
confidence: 99%
“…Catchment modelling typically considers riparian areas as homogeneous, even though this is not always the case (Ford, Mitchell, & Teskey, 2008;Tromp-van Meerveld & McDonnell, 2006). Little is known about how spatial patterns of soil characteristics (such as θ, soil texture, soil thickness, and groundwater level [GWL]) can regulate the influence of vegetation on water and N fluxes (Angstmann, Ewers, Barber, & Kwon, 2013;Ocampo, Sivapalan, & Oldham, 2006;Thomas, Abbott, Troccaz, Baudry, & Pinay, 2016). For instance, θ in riparian areas in the Mediterranean region has high spatial variability due to shallow groundwater in the near-stream zone and deeper groundwater in the hillslope zone.…”
mentioning
confidence: 99%