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A sonic root detector for revealing tree coarse root distribution
This study assesses the reliability of a non-destructive method for determining the in situ distribution of tree coarse roots within a scaled distance 6-fold the DBH by comparing the results with the actual 3D root architecture revealed by invasive methods. The root architecture of 22-year-old olive...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7228922/ https://www.ncbi.nlm.nih.gov/pubmed/32415146 http://dx.doi.org/10.1038/s41598-020-65047-4 |
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author | Proto, Andrea R. Di Iorio, Antonino Abenavoli, Lorenzo M. Sorgonà, Agostino |
author_facet | Proto, Andrea R. Di Iorio, Antonino Abenavoli, Lorenzo M. Sorgonà, Agostino |
author_sort | Proto, Andrea R. |
collection | PubMed |
description | This study assesses the reliability of a non-destructive method for determining the in situ distribution of tree coarse roots within a scaled distance 6-fold the DBH by comparing the results with the actual 3D root architecture revealed by invasive methods. The root architecture of 22-year-old olive trees was determined non-destructively with a Root Detector device (Fakopp Enterprise Bt) using sonic speed and directly by a 3D digitizer (Fastrak, Polhemus) after soil removal. The radial and vertical distributions of the coarse root biomass and diameter in the soil as determined by the 3D digitizer were correlated with the root map detected by sonic speed. A highly significant correlation was observed between the coarse root biomass distribution and the sonic speed within 30 cm of soil depth, but this correlation decreased with increasing distance from the trunk, up to 120 cm. No correlations were observed between sonic speed and root diameter. The Root Detector was able to map the coarse roots of the olive tree in the soil environment, but only under certain conditions. First, root detection was more efficient within 30 cm of soil depth, provided that more than 35% of the total biomass of lateral roots occurs within this depth range. Second, the distance of 120 cm from the trunk, scaled as 6-fold the DBH, may be considered the threshold over which the sonic speed and the detection of roots markedly decreased. Third, Root Detector technology is unable to detect root size in terms of geometric parameters such as root diameter. |
format | Online Article Text |
id | pubmed-7228922 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-72289222020-05-20 A sonic root detector for revealing tree coarse root distribution Proto, Andrea R. Di Iorio, Antonino Abenavoli, Lorenzo M. Sorgonà, Agostino Sci Rep Article This study assesses the reliability of a non-destructive method for determining the in situ distribution of tree coarse roots within a scaled distance 6-fold the DBH by comparing the results with the actual 3D root architecture revealed by invasive methods. The root architecture of 22-year-old olive trees was determined non-destructively with a Root Detector device (Fakopp Enterprise Bt) using sonic speed and directly by a 3D digitizer (Fastrak, Polhemus) after soil removal. The radial and vertical distributions of the coarse root biomass and diameter in the soil as determined by the 3D digitizer were correlated with the root map detected by sonic speed. A highly significant correlation was observed between the coarse root biomass distribution and the sonic speed within 30 cm of soil depth, but this correlation decreased with increasing distance from the trunk, up to 120 cm. No correlations were observed between sonic speed and root diameter. The Root Detector was able to map the coarse roots of the olive tree in the soil environment, but only under certain conditions. First, root detection was more efficient within 30 cm of soil depth, provided that more than 35% of the total biomass of lateral roots occurs within this depth range. Second, the distance of 120 cm from the trunk, scaled as 6-fold the DBH, may be considered the threshold over which the sonic speed and the detection of roots markedly decreased. Third, Root Detector technology is unable to detect root size in terms of geometric parameters such as root diameter. Nature Publishing Group UK 2020-05-15 /pmc/articles/PMC7228922/ /pubmed/32415146 http://dx.doi.org/10.1038/s41598-020-65047-4 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Proto, Andrea R. Di Iorio, Antonino Abenavoli, Lorenzo M. Sorgonà, Agostino A sonic root detector for revealing tree coarse root distribution |
title | A sonic root detector for revealing tree coarse root distribution |
title_full | A sonic root detector for revealing tree coarse root distribution |
title_fullStr | A sonic root detector for revealing tree coarse root distribution |
title_full_unstemmed | A sonic root detector for revealing tree coarse root distribution |
title_short | A sonic root detector for revealing tree coarse root distribution |
title_sort | sonic root detector for revealing tree coarse root distribution |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7228922/ https://www.ncbi.nlm.nih.gov/pubmed/32415146 http://dx.doi.org/10.1038/s41598-020-65047-4 |
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