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(a) Ground plan view of the Pinus nigra root system, redrawn from the ground-penetrating radar data. One major lateral root has not been detected by the GPR system. (b) Vertical view of the same root system drawn to the same scale. The GPR image of roots in the vertical plane (b) suggests that lateral roots were present at depths of 0 to 100 cm (0 to 39.3 in.); however, this was not the case in reality (Figure 3b).

(a) Ground plan view of the Pinus nigra root system, redrawn from the ground-penetrating radar data. One major lateral root has not been detected by the GPR system. (b) Vertical view of the same root system drawn to the same scale. The GPR image of roots in the vertical plane (b) suggests that lateral roots were present at depths of 0 to 100 cm (0 to 39.3 in.); however, this was not the case in reality (Figure 3b).

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To evaluate the efficiency of ground-penetrating radar (GPR) to map root systems of urban trees in situ, this technique was tested on three trees in an urban environment. After carrying out the extremely rapid GPR tests around the bases of the sample trees, root systems were excavated with an air spade, which produces a supersonic jet of air used t...

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Context 1
... GPR images, drawn by hand from the data, sug- gested that the pine root system occupied practically all the area examined and that roots extended farther than the studied transects, which is in agreement with observa- tions when the root system was excavated (Figures 3a and 4a). The data illustrated that the trunk was positioned centrally within the root system, which was itself circular in shape. ...
Context 2
... a depth of 20 and 80 cm (31.5 in.), no lateral roots > 2 cm (0.8 in.) in diameter were found (Figure 3b). When the GPR images of the pine root system in the vertical plane ( Figure 4b) were compared with field observations (Figure 3b), no similari- ties in root architecture were found. ...
Context 3
... image of the pine root system reconstructed by AMAPmod ( Figure 5) was compared to that obtained by GPR (Figure 4a). Two-dimensional images of the root sys- tem in the horizontal plane only were compared ( Figures 6a, 6b, and 6c). ...
Context 4
... with regard to the large lateral roots, except for the absence of one major lateral root that had not been cap- tured on the GPR image (Figure 4a). However, many smaller roots existed on the GPR image that were not present on the image of the reconstructed root system and vice versa. ...

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... Current research endeavors to elucidate root system architecture utilizing GPR technology predominantly rely on hypothetical or empirical growth patterns, rather than on the authentic states of root development. (23) Therefore, while GPR proves effective for ascertaining the location and approximate spatial distribution of plant root systems, the progression from disparate https://doi.org/10.56294/sctconf2024945 5 Liu C, et al points to a continuous line through methodologies such as interpolation, followed by the inversion of root diameter, and subsequently the generation of a three-dimensional structural form of the root system, still lacks foundational research and model verification. According to contemporary studies, GPR is limited in detecting only the coarser plant roots (with diameters exceeding 2 cm), and many desiccated roots, due to their low moisture content, elude detection. ...
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... Excavation is often resource-intensive, expensive, invasive, and destructive (Lontoc-Roy et al. 2006;Amato et al. 2008). There are noninvasive root detection methods which can avoid the need for excavation, such as Ground Penetrating Radar (GPR), but detection of roots in urban conditions using this method has proven difficult (Stokes et al. 2002;Danjon et al. 2005) and has been especially challenged by the lack of accurate, objective, and automated methods of mapping tree root systems (Guo et al. 2013;Miron and Millward 2020;Sun et al. 2023). ...
... Root growth parameter values were selected based on their ability to create generalized tree root morphological characteristics described in the literature. Illustrations provided by Coutts (1987), Stokes et al. (2002), and Danjon et al. (2005), as well as photographs of excavated tree systems in Phillips et al. (2015) and digital reconstructions of the root architecture of excavated trees in Nicoll and Armstrong research goals, this study investigates the practicality of RootBox to forecast generalized formal attributes of tree root architecture and predict the interaction of tree root architecture with various hypothetical urban growing conditions. ...
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Stable isotope abundances convey valuable information about plant physiological processes and underlying environmental controls. Central gaps in our mechanistic understanding of hydrogen isotope abundances impede their widespread application within the plant and biogeosciences. To address these gaps, we analysed intramolecular deuterium abundances in glucose of Pinus nigra extracted from an annually resolved tree‐ring series (1961–1995). We found fractionation signals (i.e. temporal variability in deuterium abundance) at glucose H¹ and H² introduced by closely related metabolic processes. Regression analysis indicates that these signals (and thus metabolism) respond to drought and atmospheric CO2 concentration beyond a response change point. They explain ≈ 60% of the whole‐molecule deuterium variability. Altered metabolism is associated with below‐average yet not exceptionally low growth. We propose the signals are introduced at the leaf level by changes in sucrose‐to‐starch carbon partitioning and anaplerotic carbon flux into the Calvin–Benson cycle. In conclusion, metabolism can be the main driver of hydrogen isotope variation in plant glucose.