Literature DB >> 31070766

Electrical resistivity tomography: patterns in Betula pendula, Fagus sylvatica, Picea abies and Pinus sylvestris.

Andreas Bär1, Monika Hamacher1, Andrea Ganthaler1, Adriano Losso1, Stefan Mayr1.   

Abstract

Electrical resistivity (ER) tomography is a promising technique to minimally invasively study stems of living trees. It allows insights into xylem properties based on the cross-sectional distribution of ER that is governed by the wood's electrical conductance. In this study, ER measurements were carried out on four forest tree species, Betula pendula, Fagus sylvatica, Picea abies and Pinus sylvestris, to demonstrate interspecific, intraspecific and within-tree variation of ER tomograms. Further, ER patterns were linked to xylem moisture content (MC), electrolyte content and density obtained from wood core analyses. The ER patterns of both coniferous species, P. abies and P. sylvestris, were found to be more homogenous and concentric compared with the complex tomograms of angiosperms. However, the ER range of coniferous trees showed considerable intraspecific variation. Measurements near ground level showed pronounced effects on ER tomograms, highlighting the importance of the chosen measurement height. A strong relation between ER and wood density was found in F. sylvatica while ER patterns of conifers were mainly influenced by MC. Results demonstrate a high species specificity of ER tomograms and of respective influencing xylem traits. They underline the importance of reference measurements for a correct interpretation of ER studies.
© The Author(s) 2019. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  zzm321990 Betula pendulazzm321990 ; zzm321990 Fagus sylvaticazzm321990 ; zzm321990 Picea abieszzm321990 ; zzm321990 Pinus sylvestriszzm321990 ; electrical resistivity tomography; electrolyte content; moisture content; wood density

Mesh:

Year:  2019        PMID: 31070766     DOI: 10.1093/treephys/tpz052

Source DB:  PubMed          Journal:  Tree Physiol        ISSN: 0829-318X            Impact factor:   4.196


  2 in total

1.  Insights into trunks of Pinus cembra L.: analyses of hydraulics via electrical resistivity tomography.

Authors:  Adriano Losso; Julia Sailer; Andreas Bär; Andrea Ganthaler; Stefan Mayr
Journal:  Trees (Berl West)       Date:  2020-04-16       Impact factor: 2.529

2.  Noninvasive Analysis of Tree Stems by Electrical Resistivity Tomography: Unraveling the Effects of Temperature, Water Status, and Electrode Installation.

Authors:  Andrea Ganthaler; Julia Sailer; Andreas Bär; Adriano Losso; Stefan Mayr
Journal:  Front Plant Sci       Date:  2019-11-13       Impact factor: 5.753

  2 in total

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