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  5. The Global Canopy Atlas: analysis-ready maps of 3D structure for the world’s woody ecosystems

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Article
en
2025

The Global Canopy Atlas: analysis-ready maps of 3D structure for the world’s woody ecosystems

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en
2025
DOI: 10.1101/2025.08.31.673375

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Dmitry Schepaschenko
Dmitry Schepaschenko

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Fabian Jörg Fischer
Rebecca Banbury Morgan
Toby Jackson
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Abstract

Abstract Woody canopies regulate exchanges of energy, water and carbon, and their three-dimensional (3D) structure supports much of terrestrial biodiversity. Remote sensing technologies such as airborne laser scanning (ALS) now enable the 3D mapping of entire landscapes. However, we lack the large, harmonized and geographically representative ALS collections needed to build a global picture of woody ecosystem structure. To address this challenge, we developed the Global Canopy Atlas (GCA): 3,458 ALS acquisitions transformed into standardized and analysis-ready maps of canopy height and elevation at 1 m 2 resolution. The GCA covers 56,554 km 2 across all major biomes. 19% of this area has been scanned multiple times, and 87% of all GCA products are openly available, covering 95% of the total area. To showcase its wide range of applications, we applied the GCA in three case studies. First, we validated three global satellite-derived canopy height maps, finding poor performance at native resolution (1-30 m, R 2 < 0.38) and moderate performance at 250 m resolution (R 2 < 0.65). Second, analyzing global patterns in canopy gap size frequency we discovered an unexpectedly large variation of power law exponents from branch to stand level (α = 1.52 to 2.38), pointing to a fundamental scale-dependence of forest structure. Third, we developed a framework to standardize forest turnover quantification from multi-source, multi-temporal ALS. In a temperate forest in North America it revealed that 21% of canopy gaps closed within 12 years of opening and would thus be missed by infrequent monitoring. As demonstrated by these case studies, the GCA provides a novel data source for ecologists, foresters, remote sensing scientists and the ecosystem modelling community that substantially advances our ability to understand the structure and dynamics of woody ecosystems at global scales.

How to cite this publication

Fabian Jörg Fischer, Rebecca Banbury Morgan, Toby Jackson, Jérôme Chave, David Coomes, K. C. Cushman, Ricardo Dalagnol, Michele Dalponte, Laura Duncanson, Sassan Saatchi, Rupert Seidl, Krzysztof Stereńczak, Gaia Vaglio Laurin, Stephen Adu‐Bredu, Jesús Aguirre‐Gutiérrez, Benedetta Antonielli, John Armston, Mauro Assis, Nicolas Barbier, Andrew Burt, Ricardo G. César, Jaroslav Červenka, Nicholas C. Coops, Laury Cullen, James W. Dalling, Andrew B. Davies, Miro Demol, Jakob Ebenbeck, Fabian Ewald Fassnacht, Temilola Fatoyinbo, Mariano Garcı́a, Ignácio Gasparri, Terje Gobakken, Tristan R.H. Goodbody, Eric Bastos Görgens, Tolga Görüm, Carl R. Gosper, Hongcan Guan, Janne Heiskanen, Marco Heurich, Martina L. Hobi, Bernhard Höfle, A. Hooijer, Andreas Huth, Alexander Kedrov, James R. Kellner, S. Koenig, Kamil Král, Misha Krassovski, Helga U. Kuechly, Martin Krůček, Kyaw Kyaw Htoo, Nicolas Labrière, Daphne Teck Ching Lai, Johannes Larson, Hjalmar Laudon, Dawn Lemke, Jonathan Lenoir, Yadvinder Malhi, Owais Ahmed Malik, Maxence Martin, Iain M. McNicol, Milutin Milenković, David Minor, Edward T. A. Mitchard, Vítězslav Moudrý, Helene C. Muller‐Landau, Erik Næsset, Anuttara Nathalang, Jean Pierre Ometto, Masanori Onishi, Yusuke Onoda, Petri Pellikka, Henrik Persson, Matheus Pinheiro Ferreira, Pierre Ploton, Suzanne M. Prober, Md. Farhadur Rahman, Parvez Rana, Maxime Réjou‐Méchain, Jannika Schäfer, Cornelius Senf, Aurélie Shapiro, Dmitry Schepaschenko, Guochun Shen, Miles R. Silman, Thiago Cavalcante Lins Silva, Jenia Singh, Ferry Slik, Jonas Stillhard, Anto Subash, Ryuichi Takeshige, Shengli Tao, Evan Tenorio, Timo Tokola, Piotr Tompalski, Nitin Kumar Tripathi, Rubén Valbuena, Riccardo Valentini, Ronald Vernimmen (2025). The Global Canopy Atlas: analysis-ready maps of 3D structure for the world’s woody ecosystems. , DOI: https://doi.org/10.1101/2025.08.31.673375.

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Publication Details

Type

Article

Year

2025

Authors

100

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1101/2025.08.31.673375

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