2018
DOI: 10.1111/pce.13322
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Water transport through tall trees: A vertically explicit, analytical model of xylem hydraulic conductance in stems

Abstract: Trees grow by vertically extending their stems, so accurate stem hydraulic models are fundamental to understanding the hydraulic challenges faced by tall trees. Using a literature survey, we showed that many tree species exhibit continuous vertical variation in hydraulic traits. To examine the effects of this variation on hydraulic function, we developed a spatially explicit, analytical water transport model for stems. Our model allows Huber ratio, stem-saturated conductivity, pressure at 50% loss of conductiv… Show more

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Cited by 42 publications
(39 citation statements)
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“…Procedures to scale up curves of vulnerability to embolism within plants are not well established. Modelling (Hölttä et al ., ) analyses suggest that a vertically varying profile of ψ X,50 (more negative ψ X,50 values attained towards the top of the tree) may be realistic, consistent with the hypothesis of hydraulic vulnerability segmentation (see review of available data and theory in Couvreur et al ., ). However, some empirical reports contradict this hypothesis (Wason et al ., ), despite general trends for narrower conduits in leaves vs stems/roots.…”
Section: Main Components Of Plant Water Transport Modelsmentioning
confidence: 97%
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“…Procedures to scale up curves of vulnerability to embolism within plants are not well established. Modelling (Hölttä et al ., ) analyses suggest that a vertically varying profile of ψ X,50 (more negative ψ X,50 values attained towards the top of the tree) may be realistic, consistent with the hypothesis of hydraulic vulnerability segmentation (see review of available data and theory in Couvreur et al ., ). However, some empirical reports contradict this hypothesis (Wason et al ., ), despite general trends for narrower conduits in leaves vs stems/roots.…”
Section: Main Components Of Plant Water Transport Modelsmentioning
confidence: 97%
“…Moreover, xylem hydraulic properties and their variation with branch order constrain metabolic scaling laws emerging from fractal tree models (West et al, 1999;Savage et al, 2010). As process understanding improved, mathematical approaches to solve the water transport problem also developed, from the first models based on series of point conductances (electrical analogy) (van den Honert, 1948), to those employing the matrix flux potential approach (Kirchhoff transform) to account for continuous variations in water potential along homogenous stem segments (Sperry et al, 1998;Sperry & Love, 2015), to more sophisticated numerical (Bohrer et al, 2005;Janott et al, 2011) and analytical (Couvreur et al, 2018) solutions.…”
Section: A Brief History Of Modelling Plant Water Fluxesmentioning
confidence: 99%
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“…Given the potentially intractably large number of traits and environmental variables that could be relevant for drought vulnerability in different biomes (O'Brien et al, ), the challenge of effective plant response classification will lie in the identification of a minimal set of key parameters that drive plant water relations. We have shown recently that simple plant hydraulics models—in the spirit of those adopted by Couvreur et al (), Feng, Dawson, Ackerly, Santiago, and Thompson (), Manzoni, Vico, Katul, Palmroth, and Porporato (), and Sperry et al ()—can embed the interplay of plant phenotypic traits and environmental variations in plant response dynamics and suggest a promising way forward for systematically exploring this multidimensional space (Feng et al, ). More complex computational models (Mackay et al, ; Mirfenderesgi et al, ) complement these simple approaches by providing more process‐based descriptions that point to limitations in the simpler models (albeit at the cost of additional data requirements).…”
Section: An Alternate Model‐based Classification Schemementioning
confidence: 99%
“…c a = 400 μmol/mol, Δ = 1 MPa, D = 0.01 mol/mol, g SL = 25 mol/ (m 2 s MPa), k = 0.05 mol/(m 2 s) (baseline constant; to model changes with TLA, the baseline k value is multiplied by TLA/1.5), SA = 750 mm 2 (baseline constant; to model changes with TLA, the SA/TLA ratio was assumed equal to 500 mm 2 /m 2 ) "Relationship between sapwood area and foliar carbon isotope values as indicator of water use patterns". As our model neglects vertical variations in hydraulic traits and pressure, it is not adequate as a general model for larger trees (Couvreur et al 2018), but it is suitable for short trees such as willows in short-rotation coppices, as in our case. The highly variable effects of sapwood area (and total leaf area) on leaf carbon isotope values (Fig.…”
Section: Linking Total Leaf Area To Isotope Values and The Influencementioning
confidence: 99%