2009
DOI: 10.1111/j.1365-3040.2009.01981.x
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Decoupling the influence of leaf and root hydraulic conductances on stomatal conductance and its sensitivity to vapour pressure deficit as soil dries in a drained loblolly pine plantation

Abstract: The study examined the relationships between whole tree hydraulic conductance (Ktree) and the conductance in roots (Kroot) and leaves (Kleaf) in loblolly pine trees. In addition, the role of seasonal variations in Kroot and Kleaf in mediating stomatal control of transpiration and its response to vapour pressure deficit (D) as soil-dried was studied. Compared to trunk and branches, roots and leaves had the highest loss of conductivity and contributed to more than 75% of the total tree hydraulic resistance. Drou… Show more

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Cited by 138 publications
(147 citation statements)
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References 73 publications
(106 reference statements)
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“…More details on LAI measurements at this site are given in Domec et al (2009) and Noormets et al (2010). The optical method was not appropriate because of the open canopy at the early-rotation site, so minimum LAI (winter LAI) was measured destructively on 6 -10 trees harvested in late winter every year.…”
Section: Methods Sitesmentioning
confidence: 99%
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“…More details on LAI measurements at this site are given in Domec et al (2009) and Noormets et al (2010). The optical method was not appropriate because of the open canopy at the early-rotation site, so minimum LAI (winter LAI) was measured destructively on 6 -10 trees harvested in late winter every year.…”
Section: Methods Sitesmentioning
confidence: 99%
“…The optical method was not appropriate because of the open canopy at the early-rotation site, so minimum LAI (winter LAI) was measured destructively on 6 -10 trees harvested in late winter every year. The seasonal change in tree LAI at this site was calculated using the seasonal pattern in current-year needle elongation and previous-year needle loss (Domec et al 2009). The variation curve of total LAI (trees and understory vegetation combined) was determined based on the MODIS-LAI product (Knyazikhin et al 1998, Oak Ridge National Laboratory Distributed Active Archive Center 2010), which is an 8-day interval time series, and had a total of 43 scenes per year at our sites.…”
Section: Methods Sitesmentioning
confidence: 99%
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“…Consequently, predicting the future impacts of climate warming and hydrologic drought on watershed hydrology is difficult. While there is growing information about how drought interacts with hydraulic architecture and stomatal responses [60][61][62], we know very little (and hence, can't model) about how drought impacts root structure and function. Furthermore, in mixed species stands drought does not affect trees equally.…”
Section: Extreme Events Challenge Existing Modeling Toolsmentioning
confidence: 99%