[en] Wood density is a key plant property, indispensable for estimating forest biomass. Yet, despite tropical regions' substantial contributions to global tree diversity and carbon cycling, they remain underrepresented in wood density datasets such as the CIRAD and Global Wood Density Database (GWDD). To address this gap, we present the 'Tervuren xylarium Wood Density Database' (TWDD), containing 13,332 samples from 2,994 species, 1,022 genera, and 156 plant families across six continents (72% from Africa). TWDD offers direct measurements of oven-dry (oven-dry mass/oven-dry volume, all samples), air-dry (air-dry mass/air-dry volume, 6,408 samples), green (green mass/green volume, 1,657 samples), and basic wood density (oven-dry mass/green volume, 1,686 samples). Basic density was estimated for the remaining 11,646 samples via conversion from oven-dry density. TWDD closes a substantial wood density data gap, especially in Africa, adding 1,164 new species, 160 new genera, and 8 new plant families not included in GWDD or CIRAD datasets. The TWDD provides a critical resource for advancing research on forest community dynamics, ecosystem functioning, carbon cycling, and trait-based ecology worldwide.
Verbiest, William W M ; Service of Wood Biology, Royal Museum for Central Africa, Tervuren, Belgium. william.verbiest@ugent.be ; Department of Environment, Laboratory of Wood Technology (Woodlab), Ghent University, Ghent, Belgium. william.verbiest@ugent.be ; Department of Environment, Q-ForestLab, Ghent University, Ghent, Belgium. william.verbiest@ugent.be
Hicter, Pauline; Service of Wood Biology, Royal Museum for Central Africa, Tervuren, Belgium ; Department of Environment, Laboratory of Wood Technology (Woodlab), Ghent University, Ghent, Belgium ; Department of Environment, Q-ForestLab, Ghent University, Ghent, Belgium
Beeckman, Hans ; Service of Wood Biology, Royal Museum for Central Africa, Tervuren, Belgium ; Wood Laboratory of Yangambi, Institut National pour l'Étude et la Recherche Agronomiques, Yangambi, Democratic Republic of Congo
Wallenus, Daniel; Service of Wood Biology, Royal Museum for Central Africa, Tervuren, Belgium
Bastin, Jean-François ; Université de Liège - ULiège > TERRA Research Centre > Biodiversité, Ecosystème et Paysage (BEP)
Bauters, Marijn ; Department of Environment, Q-ForestLab, Ghent University, Ghent, Belgium
Chave, Jérôme ; Laboratoire Evolution et Diversité Biologique, CNRS and Université Paul Sabatier, UMR 5174 EDB, Toulouse, 31000, France
De Blaere, Ruben; Service of Wood Biology, Royal Museum for Central Africa, Tervuren, Belgium ; Department of Environment, Laboratory of Wood Technology (Woodlab), Ghent University, Ghent, Belgium
de Hauleville, Thalès; Service of Wood Biology, Royal Museum for Central Africa, Tervuren, Belgium
De Mil, Tom ; Université de Liège - ULiège > TERRA Research Centre > Gestion des ressources forestières
de Ridder, Maaike; Service of Wood Biology, Royal Museum for Central Africa, Tervuren, Belgium
De Troyer, Cécile; Service of Wood Biology, Royal Museum for Central Africa, Tervuren, Belgium
Ewango, Corneille E N; Faculté de Gestion de Ressources Naturelles Renouvelables, Université de Kisangani, Kisangani, Democratic Republic of Congo
Fayolle, Adeline ; Université de Liège - ULiège > TERRA Research Centre > Gestion des ressources forestières ; CIRAD, Forest and Societies research unit, Montpellier, France
Gorel, Anaïs ; Université de Liège - ULiège > Département GxABT
Fischer, Fabian Jörg ; School of Biological Sciences, University of Bristol, Bristol, BS8 1 T, United Kingdom
Kacamak, Asli Begum ; Université de Liège - ULiège > Département GxABT > Gestion des ressources forestières
Kimbuluma, Christien; Faculté des Sciences, Laboratoire d'Écologie et Aménagement Forestier, Université de Kisangani, Kisangani, Democratic Republic of Congo
Luambua, Nestor K; Service of Wood Biology, Royal Museum for Central Africa, Tervuren, Belgium ; Department of Environment, Laboratory of Wood Technology (Woodlab), Ghent University, Ghent, Belgium ; Wood Laboratory of Yangambi, Institut National pour l'Étude et la Recherche Agronomiques, Yangambi, Democratic Republic of Congo ; Faculté de Gestion de Ressources Naturelles Renouvelables, Université de Kisangani, Kisangani, Democratic Republic of Congo
Laurent, Félix; Service of Wood Biology, Royal Museum for Central Africa, Tervuren, Belgium ; Department of Environment, Laboratory of Wood Technology (Woodlab), Ghent University, Ghent, Belgium ; Wood Laboratory of Yangambi, Institut National pour l'Étude et la Recherche Agronomiques, Yangambi, Democratic Republic of Congo
Liévens, Kévin; Service of Wood Biology, Royal Museum for Central Africa, Tervuren, Belgium
Makana, Jean-Remy; Faculté des Sciences, Laboratoire d'Écologie et Aménagement Forestier, Université de Kisangani, Kisangani, Democratic Republic of Congo
Malaisse, François ; Université de Liège - ULiège > Département GxABT > Biodiversité, Ecosystème et Paysage (BEP)
Wasukundi, Mbusa; Service of Wood Biology, Royal Museum for Central Africa, Tervuren, Belgium ; Wood Laboratory of Yangambi, Institut National pour l'Étude et la Recherche Agronomiques, Yangambi, Democratic Republic of Congo ; Ecole Régionale Post Universitaire d'Aménagement et de Gestion Intégrés des Forêts et Territoires Tropicaux, Kinshasa, DRC, Democratic Republic of the Congo ; Faculty of Agricultural Sciences and Environment, Department of Renewable Natural Resources Management, Université Catholique du Graben, Butembo, DRC, Democratic Republic of the Congo
Monnoye, Michael; Service of Wood Biology, Royal Museum for Central Africa, Tervuren, Belgium
Ngomanda, Alfred; Centre National de la Recherche Scientifique et Technologique (CENAREST), Libreville, Gabon
Ambounda, Franck Rodrigue Olouo; Centre National de la Recherche Scientifique et Technologique (CENAREST), Libreville, Gabon ; Université des Sciences et Techniques de Masuku, Franceville, Gabon
Toirambe, Benjamin; Service of Wood Biology, Royal Museum for Central Africa, Tervuren, Belgium ; Ministère de l'Environnement et Développement Durable, Kinshasa, Democratic Republic of the Congo
Otepa, Cédric; Faculté des Sciences, Laboratoire d'Écologie et Aménagement Forestier, Université de Kisangani, Kisangani, Democratic Republic of Congo
Van Acker, Joris; Department of Environment, Laboratory of Wood Technology (Woodlab), Ghent University, Ghent, Belgium
Van den Abbeele, Bes; Department of Environment, Laboratory of Wood Technology (Woodlab), Ghent University, Ghent, Belgium ; Department of Environment, Q-ForestLab, Ghent University, Ghent, Belgium
Van den Bulcke, Jan; Department of Environment, Laboratory of Wood Technology (Woodlab), Ghent University, Ghent, Belgium
Van Houtte Alonso, Blanca; Service of Wood Biology, Royal Museum for Central Africa, Tervuren, Belgium ; Department of Environment, Laboratory of Wood Technology (Woodlab), Ghent University, Ghent, Belgium
Wankana, Thierry; Faculté des Sciences, Laboratoire d'Écologie et Aménagement Forestier, Université de Kisangani, Kisangani, Democratic Republic of Congo
Djiofack, Brice Yannick; Service of Wood Biology, Royal Museum for Central Africa, Tervuren, Belgium ; Department of Environment, Laboratory of Wood Technology (Woodlab), Ghent University, Ghent, Belgium ; Wood Laboratory of Yangambi, Institut National pour l'Étude et la Recherche Agronomiques, Yangambi, Democratic Republic of Congo
Hubau, Wannes; Service of Wood Biology, Royal Museum for Central Africa, Tervuren, Belgium ; Department of Environment, Laboratory of Wood Technology (Woodlab), Ghent University, Ghent, Belgium ; Wood Laboratory of Yangambi, Institut National pour l'Étude et la Recherche Agronomiques, Yangambi, Democratic Republic of Congo
Chave J et al. Regional and phylogenetic variation of wood density across 2456 neotropical tree species Ecological Applications 2006 16 2356 2367 17205910 10.1890/1051-0761(2006)016[2356:RAPVOW]2.0.CO;2
Vieilledent G et al. New formula and conversion factor to compute basic wood density of tree species using a global wood technology database Am J Bot 2018 105 1653 1661 30324613 10.1002/ajb2.1175
Niklas KJ Spatz HC Worldwide correlations of mechanical properties and green wood density Am J Bot 2010 97 1587 1594 21616793 10.3732/ajb.1000150
Chave J et al. Towards a worldwide wood economics spectrum Ecol Lett 2009 12 351 366 19243406 10.1111/j.1461-0248.2009.01285.x
Calders K et al. Nondestructive estimates of above-ground biomass using terrestrial laser scanning Methods Ecol Evol 2015 6 198 208 10.1111/2041-210X.12301
Bauwens, S., Bartholomeus, H., Calders, K. & Lejeune, P. Forest inventory with terrestrial LiDAR: A comparison of static and hand-held mobile laser scanning. Forests7 (2016).
Calders, K. et al. Terrestrial laser scanning in forest ecology: Expanding the horizon. Remote Sens Environ251 (2020).
Lachenbruch B Mcculloh KA Traits, properties, and performance: How woody plants combine hydraulic and mechanical functions in a cell, tissue, or whole plant New Phytologist 2014 204 747 764 25250668 10.1111/nph.13035
Zanne AE et al. Angiosperm wood structure: Global patterns in vessel anatomy and their relation to wood density and potential conductivity Am J Bot 2010 97 207 215 21622380 10.3732/ajb.0900178
Augusto, L. et al. Widespread slow growth of acquisitive tree species. Naturehttps://doi.org/10.1038/s41586-025-08692-x (2025)
van der Sande MT et al. Biodiversity in species, traits, and structure determines carbon stocks and uptake in tropical forests Biotropica 2017 49 593 603 10.1111/btp.12453
Brando PM et al. Fire-induced tree mortality in a neotropical forest: The roles of bark traits, tree size, wood density and fire behavior Glob Chang Biol 2012 18 630 641 2012GCBio.18.630B 10.1111/j.1365-2486.2011.02533.x
Maynard, D. S. et al. Global relationships in tree functional traits. Nat Commun13 (2022).
Joswig JS et al. Climatic and soil factors explain the two-dimensional spectrum of global plant trait variation Nat Ecol Evol 2022 6 36 50 34949824 10.1038/s41559-021-01616-8
Vandewalle M et al. Functional traits as indicators of biodiversity response to land use changes across ecosystems and organisms Biodivers Conserv 2010 19 2921 2947 10.1007/s10531-010-9798-9
Makelele, I. A. et al. Afrotropical secondary forests exhibit fast diversity and functional recovery, but slow compositional and carbon recovery after shifting cultivation. Journal of Vegetation Science32 (2021).
Bauters M et al. Long-term recovery of the functional community assembly and carbon pools in an African tropical forest succession Biotropica 2019 51 319 329 10.1111/btp.12647
Li L et al. Leaf economics and hydraulic traits are decoupled in five species-rich tropical-subtropical forests Ecol Lett 2015 18 899 906 26108338 10.1111/ele.12466
Fan ZX Zhang SB Hao GY Ferry Slik JW Cao KF Hydraulic conductivity traits predict growth rates and adult stature of 40 Asian tropical tree species better than wood density Journal of Ecology 2012 100 732 741 10.1111/j.1365-2745.2011.01939.x
Poorter L et al. The importance of wood traits and hydraulic conductance for the performance and life history strategies of 42 rainforest tree species New Phytologist 2010 185 481 492 19925555 10.1111/j.1469-8137.2009.03092.x
Beeckman H WOOD ANATOMY and TRAIT-BASED ECOLOGY IAWA J 2016 37 127 151 10.1163/22941932-20160127
Pan Y et al. The enduring world forest carbon sink Nature 2024 631 563 569 2024Natur.631.563P 39020035 10.1038/s41586-024-07602-x
Hubau W et al. Asynchronous carbon sink saturation in African and Amazonian tropical forests Nature 2020 579 80 87 2020Natur.579..80H 32132693 7617213 10.1038/s41586-020-2035-0
ForestPlots.net et al. Taking the pulse of Earth’s tropical forests using networks of highly distributed plots Biol Conserv 2021 260 108849 10.1016/j.biocon.2020.108849
Lopez-Gonzalez G Lewis SL Burkitt M Phillips OL ForestPlots.net: A web application and research tool to manage and analyse tropical forest plot data Journal of Vegetation Science 2011 22 610 613 10.1111/j.1654-1103.2011.01312.x
Langbour, P., Paradis, S. & Thibaut, B. Description of the cirad wood collection in montpellier, france, representing eight thousand identified species. Bois et Forets des Tropiques 7–16, https://doi.org/10.19182/bft2019.339.a31709 (2019).
White LJT et al. Congo Basin rainforest - invest US$150 million in science Nature 2021 598 411 414 2021Natur.598.411W 34671139 10.1038/d41586-021-02818-7
Beech E Rivers M Oldfield S Smith PP GlobalTreeSearch: The first complete global database of tree species and country distributions Journal of Sustainable Forestry 2017 36 454 489 10.1080/10549811.2017.1310049
Phillips OL Lewis SL Evaluating the tropical forest carbon sink Glob Chang Biol 2014 20 2039 2041 2014GCBio.20.2039P 24123580 10.1111/gcb.12423
Lewis, S. L., Malhi, Y. & Phillips, O. L. Fingerprinting the impacts of global change on tropical forests. in Philosophical Transactions of the Royal Society B: Biological Sciences vol. 359 437–462 (Royal Society, 2004).
Phillips, O., Baker, T., Feldpausch, T. & Brienen, R. Field manual for establishment and remeasurement (RAINFOR). … Amazon Forest Inventory… 1–27 (2006).
Phillips OL Aragão LEOC Lewis SL Drought Sensitivity of the Amazon Rainforest Science (1979) 2009 323 1344 1346
Pan Y Birdsey RA Phillips OL Jackson RB The structure, distribution, and biomass of the world’s forests Annu Rev Ecol Evol Syst 2013 44 593 622 10.1146/annurev-ecolsys-110512-135914
Pan Y et al. A Large and Persistent Carbon Sink in the World’s Forests Science (1979) 2011 333 988 993
Lewis SL et al. Increasing carbon storage in intact African tropical forests Nature 2009 457 1003 1006 2009Natur.457.1003L 19225523 10.1038/nature07771
Lewis, S. L. et al. Above-ground biomass and structure of 260 African tropical forests. Philosophical Transactions of the Royal Society B: Biological Sciences368 (2013).
Brienen RJW et al. Long-term decline of the Amazon carbon sink Nature 2015 519 344 348 2015Natur.519.344B 25788097 10.1038/nature14283
Phillips, O. L. et al. Changes in the Carbon Balance of Tropical Forests: Evidence from Long-Term Plots. Science (1979)282 (1998).
Van Bodegom PM et al. Going beyond limitations of plant functional types when predicting global ecosystem-atmosphere fluxes: Exploring the merits of traits-based approaches Global Ecology and Biogeography 2012 21 625 636 10.1111/j.1466-8238.2011.00717.x
de Bello F et al. Functional trait effects on ecosystem stability: assembling the jigsaw puzzle Trends Ecol Evol 2021 36 822 836 34088543 10.1016/j.tree.2021.05.001
Mayfield MM et al. What does species richness tell us about functional trait diversity? Predictions and evidence for responses of species and functional trait diversity to land-use change Global Ecology and Biogeography 2010 19 423 431 10.1111/j.1466-8238.2010.00532.x
Slik JWF et al. Wood density as a conservation tool: Quantification of disturbance and identification of conservation-priority areas in tropical forests Conservation Biology 2008 22 1299 1308 18637916 10.1111/j.1523-1739.2008.00986.x
Mo, L. et al. The global distribution and drivers of wood density and their impact on forest carbon stocks. Nat Ecol Evolhttps://doi.org/10.1038/s41559-024-02564-9 (2024)
Yang, H. et al. Global patterns of tree wood density. Glob Chang Biol30 (2024).
Sullivan MJP et al. Variation in wood density across South American tropical forests Nat Commun 2025 16 2025NatCo.16.2351S 40064856 11893774 10.1038/s41467-025-56175-4 2351
Simpson, W. T. Specific Gravity, Moisture Content, and Density Relationship for Wood. (1993).
Sallenave, P. P. PROPRIÉTÉS PHYSIQUES ET MÉCANIQUES DES BOIS TROPICAUX DEUXIÈME SUPPLÉMENT. (1995).
Reyes, G., Brown, S., Chapman, J. & Lugo., A. E. Wood Densities of Tropical Tree Species. General Technical Report SO-88. (1992).
Williamson GB Wiemann MC Measuring wood specific gravity…correctly Am J Bot 2010 97 519 524 21622413 10.3732/ajb.0900243
Simpson, W. T. Drying and Control of Moisture Content and Dimensional Changes Contents. (1999).
International Standard. ISO 13061-1_2014 - Physical and Mechanical Properties of Wood — Test Methods for Small Clear Wood Specimens — Part 1_ Determination of Moisture Content for Physical and Mechanical Tests. (2014).
Kollmann, F. & Côté, W. A. Principles of Wood Science and Technology. I, Solid Wood. (Springer-Verlag New York, 2013).
Forest Service, U. & Products Laboratory, F. Wood Handbook, Wood as an Engineering Material. www.fpl.fs.fed.us. (2010).
Standard Test Methods for Specific Gravity of Wood and Wood-Based Materials 1. www.astm.org.
Tsoumis, G. Science and Technology of Wood: Structure, Properties, Utilization. (1991).
Kollmann, F. Technologie Des Holzes Und Der Holzwerkstoffe. Anatomie und Pathologie, Chemie, Physik Elastizität und Festigkeithttps://doi.org/10.1007/978-3-642-49758-2 (Springer Berlin Heidelberg, 1951).
Perez-Harguindeguy N et al. New handbook for standardised measurement of plant functional traits worldwide Aust. Bot. 2013 61 167 234 10.1071/BT12225
Cornelissen JHC et al. A handbook of protocols for standardised and easy measurement of plant functional traits worldwide Aust J Bot 2003 51 335 380 10.1071/BT02124
Poorter L Bongers L Bongers F Architecture of 54 moist-forest tree species: Traits, trade-offs, and functional groups Ecology 2006 87 1289 1301 16761607 10.1890/0012-9658(2006)87[1289:AOMTST]2.0.CO;2
Osunkoya OO Sheng TK Mahmud NA Damit N Variation in wood density, wood water content, stem growth and mortality among twenty-seven tree species in a tropical rainforest on Borneo Island Austral Ecol 2007 32 191 201 10.1111/j.1442-9993.2007.01678.x
Baker, T. et al. Variation in wood density determines spatial patterns in Amazonian forest biomass. Glob Chang Biol10 (2004).
Castillo-Figueroa, D., González-Melo, A. & Posada, J. M. Wood density is related to aboveground biomass and productivity along a successional gradient in upper Andean tropical forests. Front Plant Sci14 (2023).
Martínez-Cabrera HI Jones CS Espino S Jochen Schenk H Wood anatomy and wood density in shrubs: Responses to varying aridity along transcontinental transects Am J Bot 2009 96 1388 1398 21628286 10.3732/ajb.0800237
Muller-Landau HC Interspecific and inter-site variation in wood specific gravity of tropical trees Biotropica 2004 36 20 32
King DA Davies SJ Tan S Noor NSM The role of wood density and stem support costs in the growth and mortality of tropical trees Journal of Ecology 2006 94 670 680 10.1111/j.1365-2745.2006.01112.x
Van Gelder HA Poorter L Sterck FJ Wood mechanics, allometry, and life-history variation in a tropical rain forest tree community New Phytologist 2006 171 367 378 16866943 10.1111/j.1469-8137.2006.01757.x
Maniatis D Saint André L Temmerman M Malhi Y Beeckman H The potential of using xylarium wood samples for wood density calculations: A comparison of approaches for volume measurement IForest 2011 4 150 159 10.3832/ifor0575-004
Beeckman, H. Collections of the RMCA: Wood. (Royal Museum for Central Africa, Tervuren, 2007).
Beeckman, H. A Xylarium for the Sustainable Management of Biodiversity: The Wood Collection of the Royal Museum for CentralAfrica, Tervuren, Belgium. http://apad.revues.org.
Vanden Abeele S et al. When xylarium and herbarium meet: linking Tervuren xylarium wood samples with their herbarium specimens at Meise Botanic Garden Biodivers Data J 2021 9 1 11 10.3897/BDJ.9.e62329
De Blaere, R. et al. SmartWoodID - an image collection of large end-grain surfaces to support wood identification systems. Database2023 (2023).
Deklerck, V. National Treasure: Valorisation of the Federal Xylarium in Belgium for Timber Identification and WoodTechnology - PhD Thesis. (Ghent University, Ghent, Belgium, 2019).
Monnoye, M. et al. Combining wood anatomy and chemical fingerprinting maximizes tropical timber identification success. Ann For Scihttps://doi.org/10.1186/s1359 (2025)
Dierickx, S. et al. Non-destructive wood identification using X-ray µCT scanning: which resolution do we need? Plant Methods20 (2024).
Hubau W et al. Archaeological charcoals as archives for firewood preferences and vegetation composition during the late Holocene in the southern Mayumbe Democratic Republic of the Congo (DRC). Veg Hist Archaeobot 2014 23 591 606
Hubau W Van den Bulcke J Van Acker J Beeckman H Charcoal-inferred Holocene fire and vegetation history linked to drought periods in the Democratic Republic of Congo Glob Chang Biol 2015 21 2296 2308 2015GCBio.21.2296H 25594742 10.1111/gcb.12844
Gorel, A. P. et al. Leaf habit, maximum height and wood density of tropical woody flora in Africa: Phylogenetic constraints, covariation and responses to seasonal drought. Journal of Ecologyhttps://doi.org/10.1111/1365-2745.70027 (2025)
De Mil, T. et al. Wood density profiles and their corresponding tissue fractions in tropical angiosperm trees. Forests9 (2018).
Salick, J., Konchar, K. & Nesbitt, M. Curating Biocultural Collections A HANDBOOK.
International Standard ISO 3130. Wood - Determination of Moisture Content for Physical and Mechanical Tests.
Morris H et al. A global analysis of parenchyma tissue fractions in secondary xylem of seed plants New Phytologist 2016 209 1553 1565 26551018 10.1111/nph.13737
Fredriksson, M. & Thybring, E. E. On sorption hysteresis in wood: Separating hysteresis in cell wall water and capillary water in the full moisture range. PLoS One14 (2019).
R Core Team. R: A Language and Environment for Statistical Computing. https://www.R-project.org/ (2020).
Hamner, B., Frasco, M. & LeDell, E. Metrics: Evaluation Metrics for Machine Learning. R package version 0.1.4 https://CRAN.R-project.org/package=Metrics (2018).
Aguirre-Gutiérrez, J. et al. Long-term droughts may drive drier tropical forests towards increased functional, taxonomic and phylogenetic homogeneity. Nat Commun11 (2020).
Aguirre-Gutiérrez J et al. Drier tropical forests are susceptible to functional changes in response to a long-term drought Ecol Lett 2019 22 855 865 30828955 10.1111/ele.13243
Marthews, T. et al. Measuring Tropical Forest Carbon Allocation and Cycling: A RAINFOR-GEM Field Manual for Intensive Census Plots (v3.0). Manual121 (2012).
Warton DI Duursma RA Falster DS Taskinen S smatr 3- an R package for estimation and inference about allometric lines Methods Ecol Evol 2012 3 257 259 10.1111/j.2041-210X.2011.00153.x
Kindt, R. WorldFlora: An R package for exact and fuzzy matching of plant names against the World Flora Online taxonomic backbone data. Appl Plant Sci8 (2020).
The World Flora Online Consortium et al. World Flora Online Plant List June 2024 (2024-06) [Data set]. Zenodohttps://zenodo.org/records/12171908 (2024).
Borsch T et al. World Flora Online: Placing taxonomists at the heart of a definitive and comprehensive global resource on the world’s plants Taxon 2020 69 1311 1341 10.1002/tax.12373
Bauters, M. et al. Functional Composition of Tree Communities Changed Topsoil Properties in an Old Experimental Tropical Plantation. Ecosystems20, 861–871 (2017).
Kearsley, E. et al. Large-sized rare tree species contribute disproportionately to functional diversity in resource acquisition in African tropical forest. Ecol Evol9, 4349–4361 (2019).
Kearsley, E. et al. Conventional tree height-diameter relationships significantly overestimate aboveground carbon stocks in the Central Congo Basin. Nat Commun4 (2013).
Luambua, N. K. et al. Spatial patterns of light-demanding tree species in the Yangambi rainforest (Democratic Republic of Congo). Ecol Evol11, 18691–18707 (2021).
Luambua, N. K. et al. Light-demanding canopy tree species do not indicate past human disturbance in the Yangambi rainforest (Democratic Republic of the Congo). Ann For Sci81 (2024).
Hicter, P. et al. Asynchronous xylogenesis among and within tree species in the central Congo Basin. BMC Plant Biol25 (2025).
Sibret, T. et al. CongoFlux – The First Eddy Covariance Flux Tower in the Congo Basin. Frontiers in Soil Science2 (2022).
Kasongo Yakusu, E. et al. Ground-based climate data show evidence of warming and intensification of the seasonal rainfall cycle during the 1960–2020 period in Yangambi, central Congo Basin. Clim Change176, 142 (2023).
Sibret, T. et al. Photosynthetic traits scale linearly with relative height within the canopy in an African tropical forest. New Phytologist246, 2029–2045 (2025).
Mangaza, L., Sonwa, D. J., Batsi, G., Ebuy, J. & Kahindo, J. M. Building a framework towards climate-smart agriculture in the Yangambi landscape, Democratic Republic of Congo (DRC). Int J Clim Chang Strateg Manag13, 320–338 (2021).
Chudnoff, M. TROPICAL TIMBERS OF THE WORLD. (Forest Products Laboratory Forest Service U.S. Department of Agriculture, 1980).
Rosner S Karlsson B Konnerth J Hansmann C Shrinkage processes in standard-size Norway spruce wood specimens with different vulnerability to cavitation Tree Physiol 2009 29 1419 1431 19797244 3196842 10.1093/treephys/tpp077
Sarmiento C et al. Within-individual variation of trunk and branch xylem density in tropical trees Am J Bot 2011 98 140 149 21613092 10.3732/ajb.1000034
Swenson NG Enquist BJ The relationship between stem and branch wood specific gravity and the ability of each measure to predict leaf area Am J Bot 2008 95 516 519 21632377 10.3732/ajb.95.4.516
MacFarlane, D. W. Functional Relationships Between Branch and Stem Wood Density for Temperate Tree Species in North America. Frontiers in Forests and Global Change3 (2020).
Lehnebach, R. et al. Wood density variations of legume trees in French Guiana along the shade tolerance continuum: Heartwood effects on radial patterns and gradients. Forests10 (2019).
Demol M et al. Consequences of vertical basic wood density variation on the estimation of aboveground biomass with terrestrial laser sanning Trees - Structure and Function 2021 35 671 684 10.1007/s00468-020-02067-7
Bastin, J. F. et al. Wood specific gravity variations and biomass of central African tree species: The simple choice of the outer wood. PLoS One10 (2015).
Verbiest, W. W. M. et al. The Tervuren xylarium Wood Density Database (TWDD). Dryad https://doi.org/10.5061/dryad.31zcrjf1k (2025)
