Cited by 405

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Allometric equations for integrating remote sensing imagery into forest monitoring programmes

Jucker, Tommaso, Caspersen, John, Chave, Jérôme, Antin, Cécile, Barbier, Nicolas, Bongers, Frans, Dalponte, Michele, van Ewijk, Karin Y., Forrester, David I., Haeni, Matthias, Higgins, Steven I., Holdaway, Robert J., Iida, Yoshiko, Lorimer, Craig, Marshall, Peter L., Momo, Stéphane, Moncrieff, Glenn R., Ploton, Pierre, Poorter, Lourens, Rahman, Kassim Abd, Schlund, Michael, Sonké, Bonaventure, Sterck, Frank J., Trugman, Anna T., Usoltsev, Vladimir A., Vanderwel, Mark C., Waldner, Peter, Wedeux, Beatrice M. M., Wirth, Christian, Wöll, Hannsjörg, Woods, Murray, Xiang, Wenhua, Zimmermann, Niklaus E., Coomes, David A.·2017·Global Change Biology

Abstract

Remote sensing is revolutionizing the way we study forests, and recent technological advances mean we are now able – for the first time – to identify and measure the crown dimensions of individual trees from airborne imagery. Yet to make full use of these data for quantifying forest carbon stocks and dynamics, a new generation of allometric tools which have tree height and crown size at their centre are needed. Here, we compile a global database of 108753 trees for which stem diameter, height and crown diameter have all been measured, including 2395 trees harvested to measure aboveground biomass. Using this database, we develop general allometric models for estimating both the diameter and aboveground biomass of trees from attributes which can be remotely sensed – specifically height and crown diameter. We show that tree height and crown diameter jointly quantify the aboveground biomass of individual trees and find that a single equation predicts stem diameter from these two variables across the world's forests. These new allometric models provide an intuitive way of integrating remote sensing imagery into large‐scale forest monitoring programmes and will be of key importance for parameterizing the next generation of dynamic vegetation models.

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  • This saturation is a fairly severe limitation in regions dominated by tall canopies, such as tropical forests, and deteriorates downstream carbon stock estimation, because tall trees have especially high biomass.

    “This is a fairly severe limitation in regions dominated by tall canopies, such as tropical forests, and deteriorates downstream carbon stock estimation, because tall trees have especially high biomass6.”

    From A high-resolution canopy height model of the Earth (2023) · cites this paper as [6]

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Metadata

Authors
Jucker, T., Caspersen, J., Chave, J., Antin, C., Barbier, N., Bongers, F., Dalponte, M., van Ewijk, K. Y., Forrester, D. I., Haeni, M., Higgins, S. I., Holdaway, R. J., Iida, Y., Lorimer, C., Marshall, P. L., Momo, S., Moncrieff, G. R., Ploton, P., Poorter, L., Rahman, K. A., Schlund, M., Sonké, B., Sterck, F. J., Trugman, A. T., Usoltsev, V. A., Vanderwel, M. C., Waldner, P., Wedeux, B. M. M., Wirth, C., Wöll, H., Woods, M., Xiang, W., Zimmermann, N. E., & Coomes, D. A.
Affiliations
  • Forest Ecology and Conservation Group Department of Plant Sciences University of Cambridge Cambridge UK
  • Faculty of Forestry University of Toronto 33 Willcocks Street Toronto ON M5S 3B3 Canada
  • Laboratoire Evolution et Diversité Biologique UMR5174, CNRS/Université Paul Sabatier Bâtiment 4R1 118 route de Narbonne Toulouse F‐31062 France
  • Institut de Recherche pour le Développement UMR AMAP Montpellier France
  • Forest Ecology and Forest Management Group Wageningen University PO Box 47 AA Wageningen 6700 the Netherlands
  • Department of Sustainable Agro‐ecosystems and Bioresources Research and Innovation Centre Fondazione E. Mach, Via E. Mach 1 San Michele all'Adige 38010 Italy
  • Department of Geography and Planning Queen's University Kingston ON Canada
  • Chair of Silviculture Faculty of Environment and Natural Resources Freiburg University Tennenbacherstr. 4 Freiburg 79108 Germany
  • Swiss Federal Research Institute WSL Zürcherstrasse 111 Birmensdorf 8903 Switzerland
  • Department of Botany University of Otago PO Box 56 Dunedin 9016 New Zealand
  • Landcare Research PO Box 69040 Lincoln 7640 New Zealand
  • Kyushu Research Center Forestry and Forest Products Research Institute Kumamoto 860‐0862 Japan
  • Department of Forest and Wildlife Ecology University of Wisconsin‐Madison Madison WI 53706 USA
  • Faculty of Forestry University of British Columbia 2424 Main Mall Vancouver BC V6T 1Z4 Canada
  • Fynbos Node South African Environmental Observation Network (SAEON) Centre for Biodiversity Conservation Kirstenbosch Gardens Private Bag X7, Rhodes Drive, Claremont Cape Town 7735 South Africa
  • Forest Research Institute of Malaysia Kepong 52109 Selangor Malaysia
  • Department of Earth Observation Friedrich‐Schiller University Loebdergraben 32 Jena 07743 Germany
  • Laboratoire de Botanique systématique et d'Ecologie Département des Sciences Biologiques Ecole Normale Supérieure Université de Yaoundé I Yaoundé Cameroon
  • Program in Atmospheric and Oceanic Sciences Princeton University Princeton NJ 08544 USA
  • Botanical Garden of the Russian Academy of Sciences (Ural branch) Russia and Ural State Forest Engineering University Yekaterinburg 620100 Russia
  • Department of Biology University of Regina 3737 Wascana Pkwy Regina SK S4S 0A2 Canada
  • Systematic Botany and Functional Biodiversity Institute of Biology University of Leipzig Leipzig Germany
  • Conservation and Natural Resources Management Sommersbergseestr. 291 Bad Aussee A‐8990 Austria
  • Ontario Ministry of Natural Resources North Bay ON P1A 4L7 Canada
  • Faculty of Life Science and Technology Central South University of Forestry and Technology Changsha 410004 China
Venue
Global Change Biology
Publisher
Wiley
Published
2016-07-06
Volume
23
Issue
1
Pages
177-190
ISSN
  • 1354-1013
  • 1365-2486
Cited by
405
References
3
Language
en
Funders
  • Natural Environment Research Council (NE/K016377/1)
  • Agence Nationale de la Recherche

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