Evidence map›Paper›PMID 31164076›Full record

ArticleJournal of the Royal Society, Interface2019

An architectural understanding of natural sway frequencies in trees.

T Jackson, A Shenkin, J Moore, A Bunce, T van Emmerik, B Kane, D Burcham, K James, J Selker, K Calders and 11 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.8field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 52 citations in OpenAlex.

  1. Article
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  4. Article
  5. Review
  6. Article
  7. Cellular transduction of mechanical oscillations in plants by the plasma-membrane mechanosensitive channel MSL10.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors at 15 institutions in 11 countries.

T Jackson1 Environmental Change Institute, School of Geography and the Environment, University of Oxford , Oxford OX1 3QY , UK.
A Shenkin1 Environmental Change Institute, School of Geography and the Environment, University of Oxford , Oxford OX1 3QY , UK.
J Moore2 Scion , 49 Sala Street, Rotorua 3010 , New Zealand.
A Bunce3 Department of Natural Resources, University of Connecticut , Mansfield, CT 06269 , USA.
T van Emmerik4 Water Resources Section, Delft University of Technology , Stevinweg 1, 2628 CN, Delft , The Netherlands.
B Kane6 Department of Environmental Conservation, University of Massachusetts , Amherst, MA 01003 , USA.
D Burcham7 Centre for Urban Greenery and Ecology , National Parks Board, 259569 Singapore.
K James8 School of Ecosystem and Forest Sciences, Faculty of Science, University of Melbourne , Melbourne , Australia.
J Selker9 Oregon State University , Corvallis, OR 97331 , USA.
K Calders10 CAVElab - Computational and Applied Vegetation Ecology, Ghent University , Ghent , Belgium.
N Origo11 Earth Observation, Climate and Optical Group, National Physical Laboratory , Hampton Road, Teddington, Middlesex TW11 0LW , UK.
M Disney12 Department of Geography, University College London , London WC1E 6BT , UK.
A Burt12 Department of Geography, University College London , London WC1E 6BT , UK.
P Wilkes12 Department of Geography, University College London , London WC1E 6BT , UK.
P Raumonen14 Tampere University of Technology , Korkeakoulunkatu 10, 33720 Tampere , Finland.
J Gonzalez de Tanago Menaca15 Laboratory of Geo-Information Science and Remote Sensing, Wageningen University , Droevendaalsesteeg 3, 6708 PB Wageningen , The Netherlands.
A Lau15 Laboratory of Geo-Information Science and Remote Sensing, Wageningen University , Droevendaalsesteeg 3, 6708 PB Wageningen , The Netherlands.
M Herold15 Laboratory of Geo-Information Science and Remote Sensing, Wageningen University , Droevendaalsesteeg 3, 6708 PB Wageningen , The Netherlands.
R C Goodman17 Department of Forest Ecology and Management, Swedish University of Agricultural Sciences , Umeå , Sweden.
T Fourcaud18 AMAP, University of Montpellier, CIRAD, CNRS, INRA, IRD , Montpellier , France.
Y Malhi1 Environmental Change Institute, School of Geography and the Environment, University of Oxford , Oxford OX1 3QY , UK.
Wageningen University & Research · NLUniversity of Oxford · GBNational Centre for Earth Observation · GBCentre National de la Recherche Scientifique · FRGhent University · BENational Parks Board · SGNational Physical Laboratory · GBOregon State University · USScion · NZSwedish University of Agricultural Sciences · SETampere University · FIThe University of Melbourne · AUUniversity College London · GBUniversity of Connecticut · USUniversity of Massachusetts Amherst · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The relationship between form and function in trees is the subject of a longstanding debate in forest ecology and provides the basis for theories concerning forest ecosystem structure and metabolism. Trees interact with the wind in a dynamic manner and exhibit natural sway frequencies and damping processes that are important in understanding wind damage. Tree-wind dynamics are related to tree architecture, but this relationship is not well understood. We present a comprehensive view of natural sway frequencies in trees by compiling a dataset of field measurement spanning conifers and broadleaves, tropical and temperate forests. The field data show that a cantilever beam approximation adequately predicts the fundamental frequency of conifers, but not that of broadleaf trees. We also use structurally detailed tree dynamics simulations to test fundamental assumptions underpinning models of natural frequencies in trees. We model the dynamic properties of greater than 1000 trees using a finite-element approach based on accurate three-dimensional model trees derived from terrestrial laser scanning data. We show that (1) residual variation, the variation not explained by the cantilever beam approximation, in fundamental frequencies of broadleaf trees is driven by their architecture; (2) slender trees behave like a simple pendulum, with a single natural frequency dominating their motion, which makes them vulnerable to wind damage and (3) the presence of leaves decreases both the fundamental frequency and the damping ratio. These findings demonstrate the value of new three-dimensional measurements for understanding wind impacts on trees and suggest new directions for improving our understanding of tree dynamics from conifer plantations to natural forests.

Indexed as

ForestsModels, BiologicalWindTreesfinite-element analysisfundamental frequencynatural frequenciesterrestrial laser scanningtree architecturewind damage

Identifiers

PMID31164076
PMCPMC6597771
OpenAlexW2948493527

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.