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An empirical method that separates irreversible stem radial growth from bark water content changes in trees: theory and case studies
Substantial uncertainty surrounds our knowledge of tree stem growth, with some of the most basic questions, such as when stem radial growth occurs through the daily cycle, still unanswered. We employed high‐resolution point dendrometers, sap flow sensors, and developed theory and statistical approac...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6849533/ https://www.ncbi.nlm.nih.gov/pubmed/27861997 http://dx.doi.org/10.1111/pce.12863 |
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author | Mencuccini, Maurizio Salmon, Yann Mitchell, Patrick Hölttä, Teemu Choat, Brendan Meir, Patrick O'Grady, Anthony Tissue, David Zweifel, Roman Sevanto, Sanna Pfautsch, Sebastian |
author_facet | Mencuccini, Maurizio Salmon, Yann Mitchell, Patrick Hölttä, Teemu Choat, Brendan Meir, Patrick O'Grady, Anthony Tissue, David Zweifel, Roman Sevanto, Sanna Pfautsch, Sebastian |
author_sort | Mencuccini, Maurizio |
collection | PubMed |
description | Substantial uncertainty surrounds our knowledge of tree stem growth, with some of the most basic questions, such as when stem radial growth occurs through the daily cycle, still unanswered. We employed high‐resolution point dendrometers, sap flow sensors, and developed theory and statistical approaches, to devise a novel method separating irreversible radial growth from elastic tension‐driven and elastic osmotically driven changes in bark water content. We tested this method using data from five case study species. Experimental manipulations, namely a field irrigation experiment on Scots pine and a stem girdling experiment on red forest gum trees, were used to validate the theory. Time courses of stem radial growth following irrigation and stem girdling were consistent with a‐priori predictions. Patterns of stem radial growth varied across case studies, with growth occurring during the day and/or night, consistent with the available literature. Importantly, our approach provides a valuable alternative to existing methods, as it can be approximated by a simple empirical interpolation routine that derives irreversible radial growth using standard regression techniques. Our novel method provides an improved understanding of the relative source–sink carbon dynamics of tree stems at a sub‐daily time scale. |
format | Online Article Text |
id | pubmed-6849533 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-68495332019-11-15 An empirical method that separates irreversible stem radial growth from bark water content changes in trees: theory and case studies Mencuccini, Maurizio Salmon, Yann Mitchell, Patrick Hölttä, Teemu Choat, Brendan Meir, Patrick O'Grady, Anthony Tissue, David Zweifel, Roman Sevanto, Sanna Pfautsch, Sebastian Plant Cell Environ Original Articles Substantial uncertainty surrounds our knowledge of tree stem growth, with some of the most basic questions, such as when stem radial growth occurs through the daily cycle, still unanswered. We employed high‐resolution point dendrometers, sap flow sensors, and developed theory and statistical approaches, to devise a novel method separating irreversible radial growth from elastic tension‐driven and elastic osmotically driven changes in bark water content. We tested this method using data from five case study species. Experimental manipulations, namely a field irrigation experiment on Scots pine and a stem girdling experiment on red forest gum trees, were used to validate the theory. Time courses of stem radial growth following irrigation and stem girdling were consistent with a‐priori predictions. Patterns of stem radial growth varied across case studies, with growth occurring during the day and/or night, consistent with the available literature. Importantly, our approach provides a valuable alternative to existing methods, as it can be approximated by a simple empirical interpolation routine that derives irreversible radial growth using standard regression techniques. Our novel method provides an improved understanding of the relative source–sink carbon dynamics of tree stems at a sub‐daily time scale. John Wiley and Sons Inc. 2017-01-06 2017-02 /pmc/articles/PMC6849533/ /pubmed/27861997 http://dx.doi.org/10.1111/pce.12863 Text en © 2016 The Authors Plant, Cell & Environment Published by John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Mencuccini, Maurizio Salmon, Yann Mitchell, Patrick Hölttä, Teemu Choat, Brendan Meir, Patrick O'Grady, Anthony Tissue, David Zweifel, Roman Sevanto, Sanna Pfautsch, Sebastian An empirical method that separates irreversible stem radial growth from bark water content changes in trees: theory and case studies |
title | An empirical method that separates irreversible stem radial growth from bark water content changes in trees: theory and case studies |
title_full | An empirical method that separates irreversible stem radial growth from bark water content changes in trees: theory and case studies |
title_fullStr | An empirical method that separates irreversible stem radial growth from bark water content changes in trees: theory and case studies |
title_full_unstemmed | An empirical method that separates irreversible stem radial growth from bark water content changes in trees: theory and case studies |
title_short | An empirical method that separates irreversible stem radial growth from bark water content changes in trees: theory and case studies |
title_sort | empirical method that separates irreversible stem radial growth from bark water content changes in trees: theory and case studies |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6849533/ https://www.ncbi.nlm.nih.gov/pubmed/27861997 http://dx.doi.org/10.1111/pce.12863 |
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