Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2025 May 26;16(1):4876.
doi: 10.1038/s41467-025-60262-x.

The global spectrum of tree crown architecture

Tommaso Jucker  1 Fabian Jörg Fischer  2 Jérôme Chave  3 David A Coomes  4 John Caspersen  5 Arshad Ali  6 Grace Jopaul Loubota Panzou  7   8 Ted R Feldpausch  9 Daniel Falster  10 Vladimir A Usoltsev  11 Toby D Jackson  2 Stephen Adu-Bredu  12 Luciana F Alves  13 Mohammad Aminpour  14 Bhely Angoboy Ilondea  15   16 Niels P R Anten  17 Cécile Antin  18 Yousef Askari  19 Narayanan Ayyappan  20 Lindsay F Banin  21 Nicolas Barbier  18 John J Battles  22 Hans Beeckman  23 Yannick E Bocko  8 Ben Bond-Lamberty  24 Frans Bongers  25 Samuel Bowers  26 Michiel van Breugel  27   28   29 Arthur Chantrain  30 Rajeev Chaudhary  31 Jingyu Dai  32 Michele Dalponte  33 Kangbéni Dimobe  34 Jean-Christophe Domec  35   36 Jean-Louis Doucet  30 Juan Manuel Dupuy Rada  37 Remko A Duursma  38 Moisés Enríquez  39 Karin Y van Ewijk  40 William Farfán-Rios  41 Adeline Fayolle  30   42 Marco Ferretti  43 Eric Forni  42 David I Forrester  44 Hammad Gilani  45 John L Godlee  26 Matthias Haeni  43 Jefferson S Hall  28 Jie-Kun He  46 Andreas Hemp  47 José L Hernández-Stefanoni  37 Steven I Higgins  48 Robert J Holdaway  49 Kiramat Hussain  50 Lindsay B Hutley  51 Tomoaki Ichie  52 Yoshiko Iida  53 Hai-Sheng Jiang  46 Puspa Raj Joshi  54 Hasan Kaboli  55 Maryam Kazempour Larsary  56 Tanaka Kenzo  57 Brian D Kloeppel  58 Takashi S Kohyama  59 Suwash Kunwar  31   60 Shem Kuyah  61 Jakub Kvasnica  62 Siliang Lin  63 Emily R Lines  64 Hongyan Liu  32 Craig Lorimer  65 Jean-Joël Loumeto  8 Yadvinder Malhi  66 Peter L Marshall  67 Eskil Mattsson  68   69 Radim Matula  70 Jorge A Meave  39 Sylvanus Mensah  71   72 Xiangcheng Mi  73 Stéphane T Momo  18   74 Glenn R Moncrieff  75   76 Francisco Mora  77 Rodrigo Muñoz  25   39   78 Sarath P Nissanka  79 Zamah Shari Nur Hajar  80 Kevin L O'Hara  22 Steven Pearce  81 Raphaël Pelissier  18 Pablo L Peri  82 Pierre Ploton  18 Lourens Poorter  25 Mohsen Javanmiri Pour  83 Hassan Pourbabaei  56 Sabina C Ribeiro  84 Casey Ryan  26 Anvar Sanaei  85 Jennifer Sanger  81 Michael Schlund  86 Giacomo Sellan  87   88 Alexander Shenkin  89 Bonaventure Sonké  74 Frank J Sterck  25 Martin Svátek  62 Kentaro Takagi  90 Anna T Trugman  91 Matthew A Vadeboncoeur  92 Ahmad Valipour  93 Mark C Vanderwel  94 Alejandra G Vovides  95   96 Peter Waldner  43 Weiwei Wang  73 Li-Qiu Wang  60 Christian Wirth  85   97 Murray Woods  98 Wenhua Xiang  99 Fabiano de Aquino Ximenes  100 Yaozhan Xu  101   102 Toshihiro Yamada  103 Miguel A Zavala  104 Niklaus E Zimmermann  43
Affiliations

The global spectrum of tree crown architecture

Tommaso Jucker et al. Nat Commun. .

Abstract

Trees can differ enormously in their crown architectural traits, such as the scaling relationships between tree height, crown width and stem diameter. Yet despite the importance of crown architecture in shaping the structure and function of terrestrial ecosystems, we lack a complete picture of what drives this incredible diversity in crown shapes. Using data from 374,888 globally distributed trees, we explore how climate, disturbance, competition, functional traits, and evolutionary history constrain the height and crown width scaling relationships of 1914 tree species. We find that variation in height-diameter scaling relationships is primarily controlled by water availability and light competition. Conversely, crown width is predominantly shaped by exposure to wind and fire, while also covarying with functional traits related to mechanical stability and photosynthesis. Additionally, we identify several plant lineages with highly distinctive stem and crown forms, such as the exceedingly slender dipterocarps of Southeast Asia, or the extremely wide crowns of legume trees in African savannas. Our study charts the global spectrum of tree crown architecture and pinpoints the processes that shape the 3D structure of woody ecosystems.

PubMed Disclaimer

Conflict of interest statement

Competing interests: The authors declare no competing interests.

Figures

Fig. 1
Fig. 1. Overview of the global tree allometry database.
a Geographic distribution of the allometric data (n = 374,888 individual trees belonging to 1914 species). Individual tree records were aggregated in 200 × 200 km grid cells (mean number of trees per grid cell = 742). The map was obtained from the Natural Earth database (https://www.naturalearthdata.com) and is displayed using a Robinson projection (EPSG:54030). Relationships between each tree’s stem diameter and its b height (H), c crown diameter (CD) and d crown aspect ratio (CAR) are shown on a logarithmic scale. CAR is defined as the ratio between CD and H, with values lower than 1 indicating a vertical crown profile (H > CD) while values greater than 1 corresponding to a horizontal crown profile (CD > H). Points are coloured according to the aridity index value assigned to each tree based its geographic coordinates, with larger values corresponding to drier conditions (shown in red). Graphical illustration of the approach used to generate size-standardized estimates of e tree height (HRESID), f crown diameter (CDRESID) and g crown aspect ratio (CARRESID) for each tree species. Regression lines are predicted values obtained by fitting a linear model to the entire dataset (grey points). By comparing predicted and observed value of H, CD and CAR, we quantified how much each species departs, on average, from this general trend and identified ones with greater (blue points) or smaller H, CD and CAR values (red points) than expected given their stem diameters. This approach is conceptually similar to generating species-level predictions of H, CD and CAR at a fixed size (e.g., D = 30 cm), but avoids the need to arbitrarily select a size at which to compare species.
Fig. 2
Fig. 2. Global spectrum of tree crown architecture.
Tree crown architectural types and their distribution across biomes for the 1309 tree species for which both height and crown size were measured. a Tree species were grouped into one of nine architectural types based on their size-standardized height (HRESID) and crown diameter values (CDRESID). The vertical and horizontal lines mark the 25th and 75th percentile of the data and the size of each circle reflects the crown aspect ratio (CARRESID). Examples of tree species that occupy different areas of this crown architectural spectrum are highlighted. b Proportion of species belonging to the nine architectural types for each biome. See Supplementary Table 4 for pairwise comparisons of HRESID, CDRESID and CARRESID values among biomes, and Supplementary Fig. 5 for a breakdown of the nine architectural types among angiosperms and gymnosperms.
Fig. 3
Fig. 3. Variation in tree crown architecture across the tree of life.
Size-standardized estimates of a tree height (HRESID, n = 1225 species), b crown diameter (CDRESID, n = 870 species) and c crown aspect ratio (CARRESID, n = 868 species) are mapped onto a time-calibrated phylogeny of seed plants. Low values (red) indicate species that are shorter, with narrower crowns and smaller crown aspect ratios than expected given the size of their stem, while high values (blue) indicate the opposite. HRESID, CDRESID and CARRESID all exhibited phylogenetic signal, with Pagel’s λ values of 0.70, 0.54, and 0.63, respectively (P < 0.001 in all three cases based on a likelihood ratio test). Plant families and genera with mean HRESID, CDRESID and CARRESID values that are significantly lower (red lines) or higher (blue lines) than zero are highlighted on each phylogenetic tree (see Supplementary Tables 5–6 for full details). Note that only species that were a direct match to those in the phylogeny were used for the phylogenetic analysis.
Fig. 4
Fig. 4. Drivers of variation in crown architecture among tree species.
Standardized model coefficients for each predictor variable were obtained by fitting phylogenetic generalised least squares regressions to size-standardized estimates of a tree height (HRESID, n = 1910 species), b crown diameter (CDRESID, n = 1313 species), and c crown aspect ratio (CARRESID, n = 1309 species). Error bars show both standard errors (thick lines) and 95% confidence intervals (thin lines) of the model coefficients. Significantly positive and negative coefficients are shown in blue and red, respectively, while those for which the 95% confidence intervals overlap with zero are shown in grey.
Fig. 5
Fig. 5. Variation in the crown architecture along gradients of tree cover, aridity, and wind gust speed.
Points are species-level estimates of size-standardized a–c tree height (HRESID, n = 1910 species), d–f crown diameter (CDRESID, n = 1313 species) and g–i crown aspect ratio (CARRESID, n = 1309 species). Fitted lines correspond to phylogenetic generalised least squares model predictions generated by keeping all other predictors fixed at their mean values. Negative values of HRESID, CDRESID, and CARRESID indicate species that are shorter, with narrower crowns and smaller crown aspect ratios than expected given the size of their stem, while positive values denote the opposite. Values of tree cover, aridity index and wind gust speed represent are means calculated across all individual trees of a given species. Note that the aridity index was log-transformed and that larger values correspond to drier conditions.

References

    1. Verbeeck, H. et al. Time for a plant structural economics spectrum. Front. For. Glob. Change2, 43 (2019).
    1. Jucker, T. et al. Tallo: a global tree allometry and crown architecture database. Glob. Chang Biol.28, 5254–5268 (2022). - PMC - PubMed
    1. Lines, E. R., Fischer, F. J., Owen, H. J. F. & Jucker, T. The shape of trees: reimagining forest ecology in three dimensions with remote sensing. J. Ecol.110, 1730–1745 (2022).
    1. Laurans, M. et al. Why incorporate plant architecture into trait-based ecology?. Trends Ecol. Evol.39, 524–536 (2024). - PubMed
    1. Hallé, F., Oldeman, R. A. A. & Tomlinson, P. B. Tropical Trees and Forests: An Architectural Analysis. Tropical Trees and Forests (Springer Berlin, 10.1007/978-3-642-81190-6. 1978).