eprintid: 10160854 rev_number: 7 eprint_status: archive userid: 699 dir: disk0/10/16/08/54 datestamp: 2022-11-30 15:00:34 lastmod: 2022-11-30 15:00:34 status_changed: 2022-11-30 15:00:34 type: article metadata_visibility: show sword_depositor: 699 creators_name: Terryn, Louise creators_name: Calders, Kim creators_name: Åkerblom, Markku creators_name: Bartholomeus, Harm creators_name: Disney, Mathias creators_name: Levick, Shaun creators_name: Origo, Niall creators_name: Raumonen, Pasi creators_name: Verbeeck, Hans title: Analysing individual 3D tree structure using the R package ITSMe ispublished: inpress divisions: UCL divisions: B03 divisions: C03 divisions: F26 keywords: LiDAR, quantitative structure models, R package, tree structural metrics note: Copyright © 2022 The Authors. Methods in Ecology and Evolution published by John Wiley & Sons Ltd on behalf of British Ecological Society. This is an open access article under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited. abstract: 1. Detailed 3D quantification of tree structure plays a crucial role in understanding tree- and plot-level biophysical processes. Light detection and ranging (LiDAR) has led to a revolution in tree structural measurements and its 3D data are increasingly becoming publicly available. Yet, calculating structural metrics from LiDAR data can often be complex and time-consuming and potentially requires expert knowledge. / 2. We present the R package Individual Tree Structural Metrics (ITSMe), a toolbox that works with LiDAR tree point clouds and quantitative structure models (QSMs) derived from LiDAR point clouds to obtain individual tree structural metrics. It serves as a robust synthesis framework for researchers who want to readily obtain structural information from 3D data of individual trees. / 3. The package includes functions to determine basic structural metrics (tree height, diameter at breast height, diameter above buttresses, projected crown area, 3D alpha crown volume) from individual tree point clouds, as well as more complex structural metrics (individual tree component volumes, branch angle-, radius- and length-related metrics) from QSMs. / 4. The ITSMe package is an open-source package hosted on GitHub that will make the use of 3D data more straightforward and transparent for a range of end-users interested in exploiting tree structure information. date: 2022-11-15 date_type: published publisher: WILEY official_url: https://doi.org/10.1111/2041-210X.14026 oa_status: green full_text_type: pub language: eng primo: open primo_central: open_green verified: verified_manual elements_id: 1991140 doi: 10.1111/2041-210X.14026 lyricists_name: Disney, Mathias lyricists_id: MIDIS56 actors_name: Flynn, Bernadette actors_id: BFFLY94 actors_role: owner funding_acknowledgements: [Bijzonder Onderzoeksfonds] full_text_status: public publication: Methods in Ecology and Evolution pages: 11 issn: 2041-210X citation: Terryn, Louise; Calders, Kim; Åkerblom, Markku; Bartholomeus, Harm; Disney, Mathias; Levick, Shaun; Origo, Niall; ... Verbeeck, Hans; + view all <#> Terryn, Louise; Calders, Kim; Åkerblom, Markku; Bartholomeus, Harm; Disney, Mathias; Levick, Shaun; Origo, Niall; Raumonen, Pasi; Verbeeck, Hans; - view fewer <#> (2022) Analysing individual 3D tree structure using the R package ITSMe. Methods in Ecology and Evolution 10.1111/2041-210X.14026 <https://doi.org/10.1111/2041-210X.14026>. (In press). Green open access document_url: https://discovery.ucl.ac.uk/id/eprint/10160854/1/Methods%20Ecol%20Evol%20-%202022%20-%20Terryn%20-%20Analysing%20individual%203D%20tree%20structure%20using%20the%20R%20package%20ITSMe.pdf