Literature DB >> 11696414

Use of ground-penetrating radar to study tree roots in the southeastern United States.

J R Butnor1, J A Doolittle, L Kress, S Cohen, K H Johnsen.   

Abstract

The objectives of our study were to assess the feasibility of using ground-penetrating radar (GPR) to study roots over a broad range of soil conditions in the southeastern United States. Study sites were located in the Southern Piedmont, Carolina Sandhills and Atlantic Coast Flatwoods. At each site, we tested for selection of the appropriate antenna (400 MHz versus 1.5 GHz), determined the ability of GPR to resolve roots and buried organic debris, assessed root size, estimated root biomass, and gauged the practicality of using GPR. Resolution of roots was best in sandy, excessively drained soils, whereas soils with high soil water and clay contents seriously degraded resolution and observation depth. In the Carolina Sandhills, 16 1 x 1-m plots were scanned with the 1.5 GHz antenna using overlapping grids. Plots were subsequently excavated, larger roots (> 0.5 cm diameter) sketched on graph paper before removal, and all roots oven-dried, classified by size and weighed. Roots as small as 0.5 cm in diameter were detected with GPR. We were able to size roots (0.5 to 6.5 cm in diameter) that were oriented perpendicular to the radar sweep (r(2) = 0.81, P = 0.0004). Use of image analysis software to relate the magnitude of radar parabolas to actual root biomass resulted in significant correlations (r(2) = 0.55, P = 0.0274). Orientation and geometry of the reflective surface seemed to have a greater influence on parabola dimensions than did root size. We conclude that the utility of current GPR technology for estimating root biomass is site-specific, and that GPR is ineffective in soils with high clay or water content and at sites with rough terrain (most forests). Under particular soil and site conditions, GPR appears to be useful for augmenting traditional biomass sampling.

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Year:  2001        PMID: 11696414     DOI: 10.1093/treephys/21.17.1269

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


  10 in total

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Authors:  Risto Sievänen; Christophe Godin; Theodore M DeJong; Eero Nikinmaa
Journal:  Ann Bot       Date:  2014-09       Impact factor: 4.357

2.  Reconstruction of root systems in Cryptomeria japonica using root point coordinates and diameters.

Authors:  Mizue Ohashi; Hidetoshi Ikeno; Kotaro Sekihara; Toko Tanikawa; Masako Dannoura; Keitaro Yamase; Chikage Todo; Takahiro Tomita; Yasuhiro Hirano
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3.  Evaluating ecohydrological theories of woody root distribution in the Kalahari.

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Journal:  PLoS One       Date:  2012-03-28       Impact factor: 3.240

4.  X-ray computed tomography uncovers root-root interactions: quantifying spatial relationships between interacting root systems in three dimensions.

Authors:  Alexander M Paya; Jesse L Silverberg; Jennifer Padgett; Taryn L Bauerle
Journal:  Front Plant Sci       Date:  2015-04-29       Impact factor: 5.753

5.  Ground penetrating radar: a case study for estimating root bulking rate in cassava (Manihot esculenta Crantz).

Authors:  Alfredo Delgado; Dirk B Hays; Richard K Bruton; Hernán Ceballos; Alexandre Novo; Enrico Boi; Michael Gomez Selvaraj
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Review 6.  Application and Algorithm of Ground-Penetrating Radar for Plant Root Detection: A Review.

Authors:  Hao Liang; Linyin Xing; Jianhui Lin
Journal:  Sensors (Basel)       Date:  2020-05-16       Impact factor: 3.576

7.  Recent advances in methods for in situ root phenotyping.

Authors:  Anchang Li; Lingxiao Zhu; Wenjun Xu; Liantao Liu; Guifa Teng
Journal:  PeerJ       Date:  2022-07-01       Impact factor: 3.061

8.  An in situ approach to detect tree root ecology: linking ground-penetrating radar imaging to isotope-derived water acquisition zones.

Authors:  Marney E Isaac; Luke C N Anglaaere
Journal:  Ecol Evol       Date:  2013-04-10       Impact factor: 2.912

9.  Allometric equations for estimating belowground biomass of Androstachys johnsonii Prain.

Authors:  Tarquinio Mateus Magalhães
Journal:  Carbon Balance Manag       Date:  2015-07-25

10.  A sonic root detector for revealing tree coarse root distribution.

Authors:  Andrea R Proto; Antonino Di Iorio; Lorenzo M Abenavoli; Agostino Sorgonà
Journal:  Sci Rep       Date:  2020-05-15       Impact factor: 4.379

  10 in total

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