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Decoding Leaf Hydraulics with a Spatially Explicit Model: Principles of Venation Architecture and Implications for Its Evolution

Abstract : Climate change is expected to increase the frequency and severity of drought events over the next few decades in Western Europe. Consequently, there is a crucial need for an efficient tool for field water budget diagnosis to enable forest managers to estimate tree survival and productivity. Robust estimates of water budget using soil and topography were compared for their ability to predict site yield of Quercus petraea (Matt.) Liebl. Site yield was estimated using site index at 100 years. Ninety-nine even-aged high-forest stands located in northern France were investigated. Water budget was estimated by topographic position and soil water capacity (SWC) calculated for different soil depths down to a maximum 2.0 m. (1) Site index predictions improved when calculating SWC for increasing depths until 1.0 m. (2) Site index predictions did not improve when calculating SWC at depths below 1.0 m, thus confirming that the water contained in deep soil layers is not used for tree growth but probably contributes to tree fitness or survival by maintaining a not too negative in-tree water potential. (3) Topographic position was also a predictor of site index in addition to SWC. Practical recommendations for estimating extractable soil water content are given.
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Submitted on : Monday, March 24, 2014 - 11:48:45 AM
Last modification on : Friday, March 25, 2022 - 3:58:30 PM

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Athena A. Mckown, Hervé H. Cochard, Lawren L. Sack. Decoding Leaf Hydraulics with a Spatially Explicit Model: Principles of Venation Architecture and Implications for Its Evolution. American Naturalist, University of Chicago Press, 2010, 175 (4), pp.447-460. ⟨10.1086/650721⟩. ⟨hal-00964677⟩

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