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. 2022 Dec 22;13(1):91–97. doi: 10.1038/s41558-022-01544-w

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© The Author(s) 2022

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Extended Data Fig. 3 — a, DBH is predicted from CD using a total of 11,593 samples from a global database³⁶. The plot compares the predicted against the measured DBH. b, DBH is predicted for an independent dataset of 93 trees from Kenya using the equation derived from (a). c, We used an allometric equation from literature³⁷ to calculate AGB from the CD predicted DBH shown in (b). Predicted AGB is here compared with destructively measured AGB. d, While samples shown in a–c are all outside forests, (d) shows 793 field-measured trees from Rwanda’s natural forest. As in (a), DBH was predicted from CD. The bias was calculated following equation (1).