| Time series diagnosis of tree hydraulic characteristics. | |
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MedLine Citation:
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PMID: 15172838 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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An in vivo method for diagnosing hydraulic characteristics of branches and whole trees is described. The method imposes short-lived perturbations of transpiration and traces the propagation of the hydraulic response through trees. The water uptake response contains the integrated signature of hydraulic resistance and capacitance within trees. The method produces large signal to noise ratios for analysis, but does not cause damage or destruction to tree stems or branches. Based on results with two conifer tree species, we show that the method allows for the simple parameterization of bulk hydraulic resistance and capacitance of trees. Bulk tree parameterization of resistance and capacitance predicted the overall diel shape of water uptake, but did not predict the overshoot water uptake response in trees to shorter-term variations in transpiration, created by step changes in transpiration rate. Stomatal dynamics likely complicated the use of simple resistance-capacitance models of tree water transport on these short time scales. The results provide insight into dominant hydraulic and physiological factors controlling tree water flux on varying time scales, and allow for the practical assessment of necessary tree hydraulic model complexity in relation to the time step of soil- vegetation-atmosphere transport models. |
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Authors:
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Nathan G Phillips; Ram Oren; Julian Licata; Sune Linder |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S. |
Journal Detail:
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Title: Tree physiology Volume: 24 ISSN: 0829-318X ISO Abbreviation: Tree Physiol. Publication Date: 2004 Aug |
Date Detail:
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Created Date: 2004-06-02 Completed Date: 2006-03-13 Revised Date: 2006-11-15 |
Medline Journal Info:
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Nlm Unique ID: 100955338 Medline TA: Tree Physiol Country: Canada |
Other Details:
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Languages: eng Pagination: 879-90 Citation Subset: IM |
Affiliation:
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Boston University, Geography Department, 675 Commonwealth Avenue, Boston, MA 02215, USA. nathan@bu.edu |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Models, Biological Picea / physiology Pinus / physiology Plant Stems / physiology Plant Transpiration / physiology Time Factors Trees / physiology* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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