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ContentSnapshots, Annals of Botany, Volume 108, Issue 6, October 2011, Pages i–iii, https://doi.org/10.1093/aob/mcr258
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Remote sensing and 3-D sapling reconstruction
doi:10.1093/aob/mcr064
There is an increasing need for rapid and non-destructive determination of individual tree traits to input into forest management systems. Delagrange and Rochon (pp. 991–1000) test two methods based on remote sensing approaches to analyse hybrid poplar saplings (Populus trichocarpa × P. deltoides) and find that analysis of digital photographs using Tree Analyser software generally gives satisfactory results, but that utilizing point clouds acquired from terrestrial light detection and ranging (T-LiDAR) is more accurate. Specifically, T-LiDAR is a particularly promising tool for investigating the development of large perennial plants, by itself or in association with plant modelling.
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Modelling growth of the cambial surface
doi:10.1093/aob/mcr067
Individual tree growth models traditionally focus on apical growth and architecture; however, cambial growth equally contributes to plant form and function. Sellier et al. (pp. 1001–1011) present a model of cambial growth based on level sets, a technique used in computational physics. It simulates tree shape and xylem structure resulting from arbitrarily defined growth functions, and can be used either to test growth hypotheses on local processes at the organism scale or to generate detailed maps of wood internal structure.
