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Jackson T, Shenkin A, Moore J, Bunce A, van Emmerik T, Kane B, Burcham D, James K, Selker J, Calders K, Origo N, Disney M, Burt A, Wilkes P, Raumonen P, Gonzalez de Tanago Menaca J, Lau A, Herold M, Goodman RC, Fourcaud T, Malhi Y. An architectural understanding of natural sway frequencies in trees. J R Soc Interface 2019; 16:20190116. [PMID: 31164076 DOI: 10.1098/rsif.2019.0116] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
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.
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Affiliation(s)
- T Jackson
- 1 Environmental Change Institute, School of Geography and the Environment, University of Oxford , Oxford OX1 3QY , UK
| | - A Shenkin
- 1 Environmental Change Institute, School of Geography and the Environment, University of Oxford , Oxford OX1 3QY , UK
| | - J Moore
- 2 Scion , 49 Sala Street, Rotorua 3010 , New Zealand
| | - A Bunce
- 3 Department of Natural Resources, University of Connecticut , Mansfield, CT 06269 , USA
| | - T van Emmerik
- 4 Water Resources Section, Delft University of Technology , Stevinweg 1, 2628 CN, Delft , The Netherlands.,5 Hydrology and Quantitative Water Management Group, Wageningen University , Wageningen , The Netherlands
| | - B Kane
- 6 Department of Environmental Conservation, University of Massachusetts , Amherst, MA 01003 , USA
| | - D Burcham
- 7 Centre for Urban Greenery and Ecology , National Parks Board, 259569 Singapore
| | - K James
- 8 School of Ecosystem and Forest Sciences, Faculty of Science, University of Melbourne , Melbourne , Australia
| | - J Selker
- 9 Oregon State University , Corvallis, OR 97331 , USA
| | - K Calders
- 10 CAVElab - Computational and Applied Vegetation Ecology, Ghent University , Ghent , Belgium
| | - N Origo
- 11 Earth Observation, Climate and Optical Group, National Physical Laboratory , Hampton Road, Teddington, Middlesex TW11 0LW , UK.,12 Department of Geography, University College London , London WC1E 6BT , UK
| | - M Disney
- 12 Department of Geography, University College London , London WC1E 6BT , UK.,13 NERC National Centre for Earth Observation (NCEO) , Leicester , UK
| | - A Burt
- 12 Department of Geography, University College London , London WC1E 6BT , UK
| | - P Wilkes
- 12 Department of Geography, University College London , London WC1E 6BT , UK.,13 NERC National Centre for Earth Observation (NCEO) , Leicester , UK
| | - P Raumonen
- 14 Tampere University of Technology , Korkeakoulunkatu 10, 33720 Tampere , Finland
| | - J Gonzalez de Tanago Menaca
- 15 Laboratory of Geo-Information Science and Remote Sensing, Wageningen University , Droevendaalsesteeg 3, 6708 PB Wageningen , The Netherlands.,16 Center for International Forestry Research (CIFOR) , PO Box 0113 BOCBD, Bogor 16000 , Indonesia
| | - A Lau
- 15 Laboratory of Geo-Information Science and Remote Sensing, Wageningen University , Droevendaalsesteeg 3, 6708 PB Wageningen , The Netherlands.,16 Center for International Forestry Research (CIFOR) , PO Box 0113 BOCBD, Bogor 16000 , Indonesia
| | - M Herold
- 15 Laboratory of Geo-Information Science and Remote Sensing, Wageningen University , Droevendaalsesteeg 3, 6708 PB Wageningen , The Netherlands
| | - R C Goodman
- 17 Department of Forest Ecology and Management, Swedish University of Agricultural Sciences , Umeå , Sweden
| | - T Fourcaud
- 18 AMAP, University of Montpellier, CIRAD, CNRS, INRA, IRD , Montpellier , France
| | - Y Malhi
- 1 Environmental Change Institute, School of Geography and the Environment, University of Oxford , Oxford OX1 3QY , UK
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Duncanson L, Armston J, Disney M, Avitabile V, Barbier N, Calders K, Carter S, Chave J, Herold M, Crowther TW, Falkowski M, Kellner JR, Labrière N, Lucas R, MacBean N, McRoberts RE, Meyer V, Næsset E, Nickeson JE, Paul KI, Phillips OL, Réjou-Méchain M, Román M, Roxburgh S, Saatchi S, Schepaschenko D, Scipal K, Siqueira PR, Whitehurst A, Williams M. The Importance of Consistent Global Forest Aboveground Biomass Product Validation. Surv Geophys 2019; 40:979-999. [PMID: 31395994 PMCID: PMC6647371 DOI: 10.1007/s10712-019-09538-8] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/16/2018] [Accepted: 04/27/2019] [Indexed: 05/17/2023]
Abstract
Several upcoming satellite missions have core science requirements to produce data for accurate forest aboveground biomass mapping. Largely because of these mission datasets, the number of available biomass products is expected to greatly increase over the coming decade. Despite the recognized importance of biomass mapping for a wide range of science, policy and management applications, there remains no community accepted standard for satellite-based biomass map validation. The Committee on Earth Observing Satellites (CEOS) is developing a protocol to fill this need in advance of the next generation of biomass-relevant satellites, and this paper presents a review of biomass validation practices from a CEOS perspective. We outline the wide range of anticipated user requirements for product accuracy assessment and provide recommendations for the validation of biomass products. These recommendations include the collection of new, high-quality in situ data and the use of airborne lidar biomass maps as tools toward transparent multi-resolution validation. Adoption of community-vetted validation standards and practices will facilitate the uptake of the next generation of biomass products.
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Affiliation(s)
- L. Duncanson
- Department of Geographical Sciences, University of Maryland, College Park, 2181 Lefrak Hall, College Park, MD 20742 USA
| | - J. Armston
- Department of Geographical Sciences, University of Maryland, College Park, 2181 Lefrak Hall, College Park, MD 20742 USA
| | - M. Disney
- Department of Geography, University College London, Gower Street, London, WC1E 6BT UK
| | - V. Avitabile
- European Commission, Joint Research Centre (JRC), Via E. Fermi 2749, 21027 Ispra, Italy
| | - N. Barbier
- AMAP, IRD, CIRAD,
CNRS, INRA, Montpellier University, TA A51/PS2, 34398 Montpellier cedex 5, France
| | - K. Calders
- CAVElab – Computational and Applied Vegetation Ecology, Ghent University, Room A2.089, Coupure Links 653, 9000 Ghent, Belgium
| | - S. Carter
- Laboratory of Geo-Information Science and Remote Sensing, Wageningen University and Research, Droevendaalsesteeg 3, 6708 PB Wageningen, The Netherlands
| | - J. Chave
- Laboratoire Evolution et Diversit. Biologique, UMR 5174, CNRS, Universit. Toulouse Paul Sabatier, 118 route de Narbonne, 31062 Toulouse cedex 9, France
| | - M. Herold
- Laboratory of Geo-Information Science and Remote Sensing, Wageningen University and Research, Droevendaalsesteeg 3, 6708 PB Wageningen, The Netherlands
| | - T. W. Crowther
- Institute of Integrative Biology, ETH Zürich, Univeritätstrasse 16, 8006 Zurich, Switzerland
| | - M. Falkowski
- Department of Ecosystem Science and Sustainability, Colorado State University, Fort Collins, CO 80523 USA
| | - J. R. Kellner
- Institute at Brown for Environment and Society, Brown University, Providence, RI 02912 USA
- Department of Ecology and Evolutionary Biology, Brown University, Providence, RI 02912 USA
| | - N. Labrière
- Laboratoire Evolution et Diversit. Biologique, UMR 5174, CNRS, Universit. Toulouse Paul Sabatier, 118 route de Narbonne, 31062 Toulouse cedex 9, France
| | - R. Lucas
- Earth Observation and Ecosystem Dynamics Research Group, Department of Geography and Earth Sciences (DGES), Aberystwyth University, Aberystwyth, Wales SY23 3DB UK
| | - N. MacBean
- Department of Geography, Indiana University, 701 E. Kirkwood Ave., Bloomington, IN 47405 USA
| | - R. E. McRoberts
- USDA Forest Service, Northern Research Station, Saint Paul, 1992 Folwell Ave, St Paul, MN 55108 USA
| | - V. Meyer
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109 USA
| | - E. Næsset
- Faculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, NMBU, P.O. Box 5003, 1432 Ås, Norway
| | - J. E. Nickeson
- NASA Goddard Space Flight Center/Science Systems and Applications Inc., 10210 Greenbelt Rd #600, Lanham, MD 20706 USA
| | - K. I. Paul
- CSIRO Land and Water, GPO Box 1700, Canberra, ACT 2601 Australia
| | - O. L. Phillips
- School of Geography, University of Leeds, Leeds, LS2 9JT UK
| | - M. Réjou-Méchain
- AMAP, IRD, CIRAD,
CNRS, INRA, Montpellier University, TA A51/PS2, 34398 Montpellier cedex 5, France
| | - M. Román
- Earth from Space Institute, Universities Space Research Association, Columbia, MD USA
| | - S. Roxburgh
- CSIRO Land and Water, GPO Box 1700, Canberra, ACT 2601 Australia
| | - S. Saatchi
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109 USA
| | - D. Schepaschenko
- International Institute for Applied Systems Analysis, Schlossplatz 1, 2361 Laxenburg, Austria
| | - K. Scipal
- European Space Agency, ESTEC, Keplerlaan 1, 2201 AZ Noordwijk, The Netherlands
| | - P. R. Siqueira
- Department of Electrical and Computer Engineering, 201 Marcus Hall, University of Massachusetts, 100 Natural Resources Road, Amherst, MA 01003 USA
| | - A. Whitehurst
- Arctic Slope Federal Technical Services, 7000 Muirkirk Meadows Dr #100, Laurel, MD 20707 USA
| | - M. Williams
- School of GeoScience, University of Edinburgh, Drummond St, Edinburgh, EH8 9XP UK
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Disney MI, Boni Vicari M, Burt A, Calders K, Lewis SL, Raumonen P, Wilkes P. Weighing trees with lasers: advances, challenges and opportunities. Interface Focus 2018; 8:20170048. [PMID: 29503726 PMCID: PMC5829188 DOI: 10.1098/rsfs.2017.0048] [Citation(s) in RCA: 87] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/06/2017] [Indexed: 11/15/2022] Open
Abstract
Terrestrial laser scanning (TLS) is providing exciting new ways to quantify tree and forest structure, particularly above-ground biomass (AGB). We show how TLS can address some of the key uncertainties and limitations of current approaches to estimating AGB based on empirical allometric scaling equations (ASEs) that underpin all large-scale estimates of AGB. TLS provides extremely detailed non-destructive measurements of tree form independent of tree size and shape. We show examples of three-dimensional (3D) TLS measurements from various tropical and temperate forests and describe how the resulting TLS point clouds can be used to produce quantitative 3D models of branch and trunk size, shape and distribution. These models can drastically improve estimates of AGB, provide new, improved large-scale ASEs, and deliver insights into a range of fundamental tree properties related to structure. Large quantities of detailed measurements of individual 3D tree structure also have the potential to open new and exciting avenues of research in areas where difficulties of measurement have until now prevented statistical approaches to detecting and understanding underlying patterns of scaling, form and function. We discuss these opportunities and some of the challenges that remain to be overcome to enable wider adoption of TLS methods.
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Affiliation(s)
- M I Disney
- UCL Department of Geography, Gower Street, London WC1E 6BT, UK.,NERC National Centre for Earth Observation (NCEO), UK
| | - M Boni Vicari
- UCL Department of Geography, Gower Street, London WC1E 6BT, UK
| | - A Burt
- UCL Department of Geography, Gower Street, London WC1E 6BT, UK
| | - K Calders
- Earth Observation, Climate and Optical Group, National Physical Laboratory, Teddington TW11 0LW, UK
| | - S L Lewis
- UCL Department of Geography, Gower Street, London WC1E 6BT, UK.,School of Geography, University of Leeds, Leeds LS2 9JT, UK
| | - P Raumonen
- Tampere University of Technology, Laboratory of Mathematics, Korkeakoulunkatu 10, 33720 Tampere, Finland
| | - P Wilkes
- UCL Department of Geography, Gower Street, London WC1E 6BT, UK.,NERC National Centre for Earth Observation (NCEO), UK
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