Global dataset of co-incident TLS-derived and harvested tree biomass

Miro Demol; Hans Verbeeck; Bert Gielen; John Armston; Andrew Burt; Mathias Disney; Laura Duncanson; Jan Hackenberg; Daniel Kükenbrink; Alvaro Lau; Pierre Ploton; Artie Sewdien; Atticus Stovall; Stéphane Momo Takoudjou; Liubov Volkova; Chris Weston; Verginia Wortel; Kim Calders

doi:10.5281/zenodo.5236761

Jeu de données

Global dataset of co-incident TLS-derived and harvested tree biomass

Miro Demol, Hans Verbeeck, Bert Gielen, John Armston, Andrew Burt, Mathias Disney, Laura Duncanson, Jan Hackenberg, Daniel Kükenbrink, Alvaro Lau, …

Zenodo

23/08/2021

DOI: https://doi.org/10.5281/zenodo.5236761

Résumé

aboveground biomass

allometric scaling equations

carbon

forest

harvesting

lidar

quantitative structure model

terrestrial laser scanning

This dataset was used to producee the figures and statistics of the publication "Estimating forest aboveground biomass with terrestrial laser scanning: current status and future directions". This dataset contains 391 entries. Each entry is a tree that was terrestrial laser scanned and consecutively harvested to assess its aboveground biomass (AGB). AGB was also obtained from allometric scaling equations. Several ancillary tree properties such as stem diameter, foliage conditions,... and scan metadata (type of scanner, pattern) are included. We refer to the tab 'headers' for an explanation and units of the respective columns. Elaborate method descriptions can be found in the publication or in the following original publications: Burt, A., Boni Vicari, M., da Costa, A. C. L., Coughlin, I., Meir, P., Rowland, L., et al. (2021). New insights into large tropical tree mass and structure from direct harvest and terrestrial lidar. Royal Society Open Science 8, 201458. doi:10.1098/rsos.201458 Calders, K., Newnham, G., Burt, A., Murphy, S., Raumonen, P., Herold, M., et al. (2015). Nondestructive estimates of above-ground biomass using terrestrial laser scanning. Methods in Ecology and Evolution 6, 198–208. doi:10.1111/2041-210X.12301 Demol, M., Calders, K., Krishna Moorthy, S. M., Van den Bulcke, J., Verbeeck, H., and Gielen, B. (2021). Consequences of vertical basic wood density variation on the estimation of aboveground biomass with terrestrial laser scanning. Trees 35, 671–684. doi:10.1007/s00468-020-02067-7 Gonzalez de Tanago, J., Lau, A., Bartholomeus, H., Herold, M., Avitabile, V., Raumonen, P., et al. (2018). Estimation of above-ground biomass of large tropical trees with terrestrial LiDAR. Methods in Ecology and Evolution 9, 223–234. doi:10.1111/2041-210X.12904 Hackenberg, J., Wassenberg, M., Spiecker, H., and Sun, D. (2015). Non destructive method for biomass prediction combining TLS derived tree volume and wood density. Forests 6, 1274–1300. doi:10.3390/ f6041274 Kükenbrink, D., Gardi, O., Morsdorf, F., Thürig, E., Schellenberger, A., and Mathys, L. (2021). Aboveground biomass references for urban trees from terrestrial laser scanning data. Annals of Botany, 1–16doi:10.1093/aob/mcab002 Lau, A., Calders, K., Bartholomeus, H., Martius, C., Raumonen, P., Herold, M., et al. (2019). Tree Biomass Equations from Terrestrial LiDAR: A Case Study in Guyana. Forests 10, 527. doi:10.3390/f10060527 Momo Takoudjou, S., Ploton, P., Sonke, B., Hackenberg, J., Griffon, S., Coligny, F., et al. (2018). Using terrestrial laser scanning data to estimate large tropical trees biomass and calibrate allometric models: A comparison with traditional destructive approach. Methods in Ecology and Evolution 9, 905–916. doi:10.1111/2041-210X.12933 Stovall, A. E., Vorster, A. G., Anderson, R. S., Evangelista, P. H., and Shugart, H. H. (2017). Non-destructive aboveground biomass estimation of coniferous trees using terrestrial LiDAR. Remote Sensing of Environment 200, 31–42. doi:10.1016/j.rse.2017.08.013

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Titre: Global dataset of co-incident TLS-derived and harvested tree biomass
Créateurs - sans rôle: Miro Demol - CAVElab, Computational and Applied Vegetation Ecology, Department of Environment, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium // PLECO, Plants and Ecosystems, Faculty of Science, Antwerp University, Wilrijk, Belgium
Hans Verbeeck - CAVElab, Computational and Applied Vegetation Ecology, Department of Environment, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium
Bert Gielen - PLECO, Plants and Ecosystems, Faculty of Science, Antwerp University, Wilrijk, Belgium
John Armston - Department of Geographical Sciences, University of Maryland, College Park, MD 20742, USA
Andrew Burt - Department of Geography, University College London, London, UK
Mathias Disney - Department of Geography, University College London, London, UK // NERC NCEO-UCL
Laura Duncanson - Department of Geographical Sciences, University of Maryland, College Park, MD 20742, USA
Jan Hackenberg - Independent developer for free software - Aachener Str. 5d, 56072 Koblenz, Germany
Daniel Kükenbrink - Swiss Federal Institute WSL, Zurichstrasse 111, CH-8903 Birmensdorf, Switzerland
Alvaro Lau - Wageningen University, Laboratory of Geo-Information Science and Remote Sensing, Droevendaalsesteeg 3, 6708 PB Wageningen, the Netherlands
Pierre Ploton - AMAP, Univ Montpellier, IRD, CNRS, INRAE, CIRAD, Montpellier, France
Artie Sewdien - Department of Forest Management, Centre for Agricultural Research in Suriname (CELOS), Prof.Dr.Ir.J.Ruinardlaan 1, Paramaribo, Suriname
Atticus Stovall - Department of Geographical Sciences, University of Maryland, College Park, MD 20742, USA // NASA Goddard Space Flight Center, 8800 Greenbelt Rd., Greenbelt, MD, United States
Stéphane Momo Takoudjou - AMAP, Univ Montpellier, IRD, CNRS, INRAE, CIRAD, Montpellier, France // Plant Systematic and Ecology Laboratory (LaBosystE), Department of Biology, Higher Teachers' Training College, University of Yaounde I, P.O. Box 047, Yaoundé Cameroon
Liubov Volkova - School of Ecosystem and Forest Sciences, The University of Melbourne, Victoria 3010, Australia
Chris Weston - School of Ecosystem and Forest Sciences, The University of Melbourne, Victoria 3010, Australia
Verginia Wortel - Department of Forest Management, Centre for Agricultural Research in Suriname (CELOS), Prof.Dr.Ir.J.Ruinardlaan 1, Paramaribo, Suriname
Kim Calders - CAVElab, Computational and Applied Vegetation Ecology, Department of Environment, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium
Éditeur: Zenodo
Note de subvention: Tropical Forest Degradation Experiment - 757526 / European Commission (https://doi.org/10.13039/501100000780) Readiness of ICOS for Necessities of integrated Global Observations - 730944 / European Commission (https://doi.org/10.13039/501100000780) Understanding forest growth dynamics using novel 3D measurements and modelling approaches - 835398 / European Commission (https://doi.org/10.13039/501100000780) Weighing trees with lasers: reducing uncertainty in tropical forest biomass and allometry - NE/N00373X/1 / Research Councils UK (https://doi.org/10.13039/501100000690)
Identifiants: 99149234109311
Unité académique: BotAnique et Modélisation de l'Architecture des Plantes et des végétations - AMAP
Langue: English
Type de ressource: Dataset