Articles | Volume 18, issue 13
https://doi.org/10.5194/bg-18-4059-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-18-4059-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 Jul 2021
Research article |
| 06 Jul 2021
| 06 Jul 2021
The motion of trees in the wind: a data synthesis
Department of Plant Sciences, University of Cambridge, CB2 3EA, UK
Sarab Sethi
Department of Mathematics, Imperial College London, London, SW7 2AZ, UK
Ebba Dellwik
Department of Wind Energy, Technical University of Denmark,
Frederiksborgvej 399, Roskilde, 4000, Denmark
Nikolas Angelou
Department of Wind Energy, Technical University of Denmark,
Frederiksborgvej 399, Roskilde, 4000, Denmark
Amanda Bunce
Department of Natural Resources and the Environment, University of Connecticut,
Mansfield, CT 06269, USA
Tim van Emmerik
Hydrology and Quantitative Water Management Group, Wageningen
University, Wageningen, 6708, the Netherlands
Marine Duperat
Department of Wood and Forest Sciences, Laval University, Quebec, QC G1V
0A6, Canada
Jean-Claude Ruel
Department of Wood and Forest Sciences, Laval University, Quebec, QC G1V
0A6, Canada
Axel Wellpott
Bavarian State Institute of Forestry (LWF),
Hans-Carl-von-Carlowitz-Platz 1, 85354 Freising, Germany
Skip Van Bloem
Baruch Institute of Coastal Ecology and Forest Science, Clemson
University, P.O. Box 596, Georgetown, SC 29442, USA
Alexis Achim
Centre de recherche sur les matériaux renouvelables,
Département des sciences du bois et de la forêt, Université
Laval, Québec, QC G1V 0A6, Canada
Brian Kane
Department of Environmental Conservation, University of
Massachusetts, Amherst, MA 01003, USA
Dominick M. Ciruzzi
Department of Civil and Environmental Engineering, University of Wisconsin
Madison, Madison, WI 53706, USA
Steven P. Loheide II
Department of Civil and Environmental Engineering, University of Wisconsin
Madison, Madison, WI 53706, USA
Ken James
School of Ecosystem and Forest Sciences, Faculty of Science,
University of Melbourne, Melbourne, 3052, Australia
Daniel Burcham
Centre for Urban Greenery and Ecology, National Parks Board, 259569,
Singapore
John Moore
Timberlands Ltd., Rotorua 3010, New Zealand
Dirk Schindler
Environmental Meteorology, University of Freiburg, D-79085 Freiburg, Germany
Sven Kolbe
Environmental Meteorology, University of Freiburg, D-79085 Freiburg, Germany
Kilian Wiegmann
Argus Electronic GmbH, Erich-Schlesinger-Str. 49d, 18059 Rostock, Germany
Mark Rudnicki
College of Forest Resources and Environmental Science, Michigan
Technological University, Houghton, MI 49931, USA
Victor J. Lieffers
Department of Renewable Resources, University of Alberta, Edmonton, Alberta T6G 2R3, Canada
John Selker
Biological and Ecological Engineering, Oregon State University, Corvallis, OR 97331, USA
Andrew V. Gougherty
Department of Botany, University of British Columbia, Vancouver, British Columbia V6T 1Z4, Canada
Tim Newson
Department of Civil and Environmental Engineering, Western
University, London, Ontario N6G 1G8, Canada
Andrew Koeser
Department of Environmental Horticulture, IFAS, University of
Florida, Gainsville, 32607, USA
Gulf Coast Research and Education Center, University of Florida, 14625 County Road 672,
Wimauma, FL 33598, USA
Jason Miesbauer
The Morton Arboretum, Lisle, IL 60532, USA
Roger Samelson
College of Earth, Ocean, and Atmospheric Sciences, Oregon State
University, Corvallis, OR 97331, USA
Jim Wagner
Oregon Research Electronics, Tangent, OR 97389, USA
Anthony R. Ambrose
Department of Integrative Biology, UC Berkeley, Berkeley, CA 94720-3140, USA
Andreas Detter
Brudi and Partner TreeConsult, Berengariastr. 9, 82131 Gauting,
Germany
Steffen Rust
Faculty of Resource Management, University of Applied Science and Art, Göttingen, Germany
David Coomes
Department of Plant Sciences, University of Cambridge, CB2 3EA, UK
Barry Gardiner
Institut Européen de la Forêt Cultivée, 69 route
d'Arcachon, 33612, Cestas, France
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Total article views: 3,970 (including HTML, PDF, and XML)
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Cited
26 citations as recorded by crossref.
- Enhancing TreeMMoSys with a high-precision strain gauge to measure the wind-induced response of trees down to the ground J. Nickl et al. 10.1016/j.ohx.2022.e00379
- Unveiling Falling Urban Trees before and during Typhoon Higos (2020): Empirical Case Study of Potential Structural Failure Using Tilt Sensor K. Hui et al. 10.3390/f13020359
- Measuring the Distance between Trees and Power Lines under Wind Loads to Assess the Heightened Potential Risk of Wildfire S. Lee & Y. Ham 10.3390/rs15061485
- Understanding the dynamic properties of trees using the motions constructed from multi-beam flash light detection and ranging measurements W. Chau et al. 10.1098/rsif.2022.0319
- Monitoring Tree Sway as an Indicator of Interception Dynamics Before, During, and Following a Storm D. Ciruzzi & S. Loheide 10.1029/2021GL094980
- Strength Loss Inference Due to Decay or Cavities in Tree Trunks Using Tomographic Imaging Data Applied to Equations Proposed in the Literature M. dos Reis et al. 10.3390/f13040596
- Modal properties of fractal sympodial trees: insights and analytical solutions using a group tree modeling approach C. Loong & E. Dimitrakopoulos 10.1016/j.apm.2022.10.048
- Wind-induced torsional vibration in a ponderosa pine tree S. Kolbe et al. 10.1016/j.foreco.2023.121638
- From flowering to foliage: Accelerometers track tree sway to provide high-resolution insights into tree phenology D. Jaeger et al. 10.1016/j.agrformet.2022.108900
- Wind speed inference from environmental flow–structure interactions. Part 2. Leveraging unsteady kinematics J. Cardona & J. Dabiri 10.1017/flo.2021.15
- Climate data for the European forestry sector: From end-user needs to opportunities for climate resilience C. Fraccaroli et al. 10.1016/j.cliser.2021.100247
- Automatic classification of hyperkinetic, tonic, and tonic-clonic seizures using unsupervised clustering of video signals P. Ojanen et al. 10.3389/fneur.2023.1270482
- Wind Speed Controls Forest Structure in a Subtropical Forest Exposed to Cyclones: A Case Study Using an Individual-Based Model E. Rau et al. 10.3389/ffgc.2022.753100
- Mode coupling and signal energy distribution in an open-grown European beech tree S. Kolbe et al. 10.1016/j.foreco.2024.121845
- Modal properties of fractal trees as recursive analytical solutions C. Loong et al. 10.1016/j.jsv.2023.118164
- Wind dynamics and leaf motion: Approaching the design of high-tech devices for energy harvesting for operation on plant leaves F. Meder et al. 10.3389/fpls.2022.994429
- Seismic noise monitoring of a maritime pine root-system failure during an overturn experiment V. Allègre et al. 10.1007/s00468-023-02393-6
- Estimation of Individual Norway Spruce Crown Metrics Using a Smartphone Device K. Kędra & I. Barbeito 10.1007/s41064-022-00201-3
- Monitoring of tree tilt motion using lorawan-based wireless tree sensing system (IoTT) during super typhoon Mangkhut W. Chau et al. 10.1016/j.agrformet.2022.109282
- Evaluating wind damage vulnerability in the Alps: A new wind risk model parametrisation M. Costa et al. 10.1016/j.agrformet.2023.109660
- Reconstruction methods for the mechanical energy of a tree under free vibration C. Loong et al. 10.1016/j.agrformet.2023.109541
- Ideas and perspectives: Sensing energy and matter fluxes in a biota-dominated Patagonian landscape through environmental seismology – introducing the Pumalín Critical Zone Observatory C. Mohr et al. 10.5194/bg-21-1583-2024
- On the Potential of Using Air Pressure Fluctuations to Estimate Wind-Induced Tree Motion in a Planted Scots Pine Forest S. Kolbe et al. 10.3390/f13020225
- Challenges and Capabilities in Estimating Snow Mass Intercepted in Conifer Canopies With Tree Sway Monitoring M. Raleigh et al. 10.1029/2021WR030972
- Assessment of Effective Wind Loads on Individual Plantation-Grown Forest Trees S. Kolbe et al. 10.3390/f13071026
- Wind damage to forests and trees: a review with an emphasis on planted and managed forests B. Gardiner 10.1080/13416979.2021.1940665
25 citations as recorded by crossref.
- Enhancing TreeMMoSys with a high-precision strain gauge to measure the wind-induced response of trees down to the ground J. Nickl et al. 10.1016/j.ohx.2022.e00379
- Unveiling Falling Urban Trees before and during Typhoon Higos (2020): Empirical Case Study of Potential Structural Failure Using Tilt Sensor K. Hui et al. 10.3390/f13020359
- Measuring the Distance between Trees and Power Lines under Wind Loads to Assess the Heightened Potential Risk of Wildfire S. Lee & Y. Ham 10.3390/rs15061485
- Understanding the dynamic properties of trees using the motions constructed from multi-beam flash light detection and ranging measurements W. Chau et al. 10.1098/rsif.2022.0319
- Monitoring Tree Sway as an Indicator of Interception Dynamics Before, During, and Following a Storm D. Ciruzzi & S. Loheide 10.1029/2021GL094980
- Strength Loss Inference Due to Decay or Cavities in Tree Trunks Using Tomographic Imaging Data Applied to Equations Proposed in the Literature M. dos Reis et al. 10.3390/f13040596
- Modal properties of fractal sympodial trees: insights and analytical solutions using a group tree modeling approach C. Loong & E. Dimitrakopoulos 10.1016/j.apm.2022.10.048
- Wind-induced torsional vibration in a ponderosa pine tree S. Kolbe et al. 10.1016/j.foreco.2023.121638
- From flowering to foliage: Accelerometers track tree sway to provide high-resolution insights into tree phenology D. Jaeger et al. 10.1016/j.agrformet.2022.108900
- Wind speed inference from environmental flow–structure interactions. Part 2. Leveraging unsteady kinematics J. Cardona & J. Dabiri 10.1017/flo.2021.15
- Climate data for the European forestry sector: From end-user needs to opportunities for climate resilience C. Fraccaroli et al. 10.1016/j.cliser.2021.100247
- Automatic classification of hyperkinetic, tonic, and tonic-clonic seizures using unsupervised clustering of video signals P. Ojanen et al. 10.3389/fneur.2023.1270482
- Wind Speed Controls Forest Structure in a Subtropical Forest Exposed to Cyclones: A Case Study Using an Individual-Based Model E. Rau et al. 10.3389/ffgc.2022.753100
- Mode coupling and signal energy distribution in an open-grown European beech tree S. Kolbe et al. 10.1016/j.foreco.2024.121845
- Modal properties of fractal trees as recursive analytical solutions C. Loong et al. 10.1016/j.jsv.2023.118164
- Wind dynamics and leaf motion: Approaching the design of high-tech devices for energy harvesting for operation on plant leaves F. Meder et al. 10.3389/fpls.2022.994429
- Seismic noise monitoring of a maritime pine root-system failure during an overturn experiment V. Allègre et al. 10.1007/s00468-023-02393-6
- Estimation of Individual Norway Spruce Crown Metrics Using a Smartphone Device K. Kędra & I. Barbeito 10.1007/s41064-022-00201-3
- Monitoring of tree tilt motion using lorawan-based wireless tree sensing system (IoTT) during super typhoon Mangkhut W. Chau et al. 10.1016/j.agrformet.2022.109282
- Evaluating wind damage vulnerability in the Alps: A new wind risk model parametrisation M. Costa et al. 10.1016/j.agrformet.2023.109660
- Reconstruction methods for the mechanical energy of a tree under free vibration C. Loong et al. 10.1016/j.agrformet.2023.109541
- Ideas and perspectives: Sensing energy and matter fluxes in a biota-dominated Patagonian landscape through environmental seismology – introducing the Pumalín Critical Zone Observatory C. Mohr et al. 10.5194/bg-21-1583-2024
- On the Potential of Using Air Pressure Fluctuations to Estimate Wind-Induced Tree Motion in a Planted Scots Pine Forest S. Kolbe et al. 10.3390/f13020225
- Challenges and Capabilities in Estimating Snow Mass Intercepted in Conifer Canopies With Tree Sway Monitoring M. Raleigh et al. 10.1029/2021WR030972
- Assessment of Effective Wind Loads on Individual Plantation-Grown Forest Trees S. Kolbe et al. 10.3390/f13071026
1 citations as recorded by crossref.
Latest update: 23 Apr 2024
Short summary
We have all seen trees swaying in the wind, but did you know that this motion can teach us about ecology? We summarized tree motion data from many different studies and looked for similarities between trees. We found that the motion of trees in conifer forests is quite similar to each other, whereas open-grown trees and broadleaf forests show more variation. It has been suggested that additional damping or amplification of tree motion occurs at high wind speeds, but we found no evidence of this.
We have all seen trees swaying in the wind, but did you know that this motion can teach us about...
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